Showing papers in "European Transport Research Review in 2022"
TL;DR: In this article , a study was conducted to determine the issues caused by the shortage of empty containers and to rank the appropriate solutions based on four main criteria and sixteen subcategories used to define the issues, as well as a multi criteria decision model comprising five criteria for the solutions.
Abstract: Abstract A shortage of empty containers has become a global crisis with more devastating effects than during previous periods when combined with various problems arising from the COVID-19, such as an increase in an imbalance of global trade between supply and demand, a decrease in the workforce, and restrictions by countries or regional quarantine practices. The absence of empty containers in regions where they are needed slows down industrial activities and locks the global supply networks, necessitating the use of alternative methods that are inefficient. Although this shortage causes many disruptions in global trade, solutions to the issue have not been studied in detail. Therefore, the aim of this study was to determine the issues caused by the shortage of empty containers and to rank the appropriate solutions. Four main criteria and sixteen subcategories used to define the issues, as well as a multi criteria decision model comprising five criteria for the solutions, were proposed based on information from the literature, sectorial publications, and expert opinions. The issues’ weighted order of importance in our proposed model was calculated using the SWARA (Step-wise Weight Assessment Ratio Analysis) method; solutions were ranked using the ARAS (Additive Ratio Assessment) method. The results of the study revealed that the issues were ranked in importance as cost increases, uncertainty in the supply chain, volume loss, and increases in blank sailing announcements. Appropriate solutions were ranked as booking guarantee applications and information communication technologies, using shipper-owned containers, inducement calls, and E2E (end to end) delivery services.
15 citations
TL;DR: In this article , a study was conducted to determine the issues caused by the shortage of empty containers and to rank the appropriate solutions based on four main criteria and sixteen subcategories used to define the issues, as well as a multi criteria decision model comprising five criteria for the solutions.
Abstract: Abstract A shortage of empty containers has become a global crisis with more devastating effects than during previous periods when combined with various problems arising from the COVID-19, such as an increase in an imbalance of global trade between supply and demand, a decrease in the workforce, and restrictions by countries or regional quarantine practices. The absence of empty containers in regions where they are needed slows down industrial activities and locks the global supply networks, necessitating the use of alternative methods that are inefficient. Although this shortage causes many disruptions in global trade, solutions to the issue have not been studied in detail. Therefore, the aim of this study was to determine the issues caused by the shortage of empty containers and to rank the appropriate solutions. Four main criteria and sixteen subcategories used to define the issues, as well as a multi criteria decision model comprising five criteria for the solutions, were proposed based on information from the literature, sectorial publications, and expert opinions. The issues’ weighted order of importance in our proposed model was calculated using the SWARA (Step-wise Weight Assessment Ratio Analysis) method; solutions were ranked using the ARAS (Additive Ratio Assessment) method. The results of the study revealed that the issues were ranked in importance as cost increases, uncertainty in the supply chain, volume loss, and increases in blank sailing announcements. Appropriate solutions were ranked as booking guarantee applications and information communication technologies, using shipper-owned containers, inducement calls, and E2E (end to end) delivery services.
14 citations
TL;DR: In this paper , the authors present a conceptual model for the barrier effects of transport infrastructure and their determinants and conclude that a multi-disciplinary approach is required, supported by the conceptual model and the overview of assessment tools.
Abstract: Abstract Transport infrastructure such as railways, motorways and arterial roads increases regional accessibility for motorised transport but simultaneously can create barriers in local street networks that can decrease accessibility for pedestrians and cyclists. Although several tools for an objective assessment of these barrier effects have been developed, their use in practice is limited; impact assessments are instead based on subjective descriptions. This article reviews the literature on barrier effects of the last 60 years and aims to offer guidance for the use of objective methods of assessment of barrier effects. The first contribution is a conceptual model for the barrier effects of transport infrastructure and their determinants. The second contribution is an overview of tools for the assessment of barrier effects. We conclude that a multi-disciplinary approach is required, supported by the conceptual model and the overview of assessment tools. Investments in transport infrastructure can then be based on broader decision support involving not only the benefits of increasing regional accessibility but also the cost of reducing local accessibility.
10 citations
TL;DR: In this article , the social inclusivity, economic viability, and environmental impacts of novel mobility solutions in rural contexts based on published scholarly literature are investigated. But, despite emerging research on novel mobility solution in urban areas, there have been few attempts to explore the relevance and sustainability of these solutions for rural contexts.
Abstract: Abstract Background Despite emerging research on novel mobility solutions in urban areas, there have been few attempts to explore the relevance and sustainability of these solutions in rural contexts. Furthermore, existing research addressing rural mobility solutions typically focuses on a specific user group, such as local residents, second-home owners, or tourists. In this paper, we study the social inclusivity, economic viability, and environmental impacts of novel mobility solutions in rural contexts based on published scholarly literature. When doing so, we bring both permanent and temporary residents of rural areas under one research framework. Methods We used grey literature to identify and categorise novel mobility solutions, which have been applied in European rural areas and are suitable for travelling longer distances. By using six service flexibility variables, we reached four categories of novel mobility solutions: semi-flexible demand-responsive transport, flexible door-to-door demand-responsive transport, car-sharing, and ride-sharing. We analysed the social inclusivity, economic viability, and environmental impacts of those categories based on criteria and evidence identified from scholarly literature by including the perspectives of both permanent and temporary residents of rural areas. Results Our findings revealed that while single novel mobility solutions are seldom applicable for all rural travellers, strong spatial and temporal synergies exist when combining different solutions. The need for a connected and flexible set of mobility solutions sensitive to the temporal and spatial patterns of mobility needs is inevitable. Accessible and easily understandable information on routing, booking, and ticketing systems, as well as cooperation, shared values, and trust between various parties, are key success factors for sustainable rural mobility. Conclusion Integration of the needs of various user groups is essential when aiming to achieve the provision of environmentally, socially, and economically sustainable mobility solutions in rural areas.
10 citations
TL;DR: In this paper , the authors present a conceptual model for the barrier effects of transport infrastructure and their determinants and conclude that a multi-disciplinary approach is required, supported by the conceptual model and the overview of assessment tools.
Abstract: Abstract Transport infrastructure such as railways, motorways and arterial roads increases regional accessibility for motorised transport but simultaneously can create barriers in local street networks that can decrease accessibility for pedestrians and cyclists. Although several tools for an objective assessment of these barrier effects have been developed, their use in practice is limited; impact assessments are instead based on subjective descriptions. This article reviews the literature on barrier effects of the last 60 years and aims to offer guidance for the use of objective methods of assessment of barrier effects. The first contribution is a conceptual model for the barrier effects of transport infrastructure and their determinants. The second contribution is an overview of tools for the assessment of barrier effects. We conclude that a multi-disciplinary approach is required, supported by the conceptual model and the overview of assessment tools. Investments in transport infrastructure can then be based on broader decision support involving not only the benefits of increasing regional accessibility but also the cost of reducing local accessibility.
10 citations
TL;DR: In this article , a Geographic Information Systems-based methodology is proposed to measure accessibility to urban services from the elderly perspective to support urban planning processes, which aims to understand and clarify how the urban environment can influence the quality of life for older adults, mostly through pedestrian and public transport networks.
Abstract: Abstract This study proposes a Geographic Information Systems-based methodology to measure accessibility to urban services from the elderly perspective to support urban planning processes. Specifically, it seeks to understand and clarify how the urban environment can influence the quality of life for older adults, mostly through pedestrian and public transport networks, locations of essential urban services, and the organisation of their resources. In light of a significant demographic change, policymakers will have to promote age-friendly urban planning approaches to guarantee equal access to services and activities. We propose a methodology to measure accessibility to healthcare provision services that considers land-use and mobility features and older adults' behavioural traits. The method belongs to the family of 2SFCA—2 steps floating catchment area—which evaluate accessibility as the combination of both supply and demand of urban services. Therefore, we have introduced innovative elements to shape actual mobility opportunities for the elderly and their travel choices. The methodology was applied to Milan's city to measure accessibility to the Health Protection Agency (ATS) services, which is responsible for healthcare assistance to the elderly dwelling in the city. The outputs show that a significant share of older people (almost 40%) suffer from poor accessibility to primary health services and that they mostly live in the city periphery. Moreover, the application to a case study has shown that the methodology could identify the critical aspects needed to aid urban planning to achieve a high quality of life for elderly people.
9 citations
TL;DR: In this article , a Geographic Information Systems-based methodology is proposed to measure accessibility to urban services from the elderly perspective to support urban planning processes, which aims to understand and clarify how the urban environment can influence the quality of life for older adults, mostly through pedestrian and public transport networks.
Abstract: Abstract This study proposes a Geographic Information Systems-based methodology to measure accessibility to urban services from the elderly perspective to support urban planning processes. Specifically, it seeks to understand and clarify how the urban environment can influence the quality of life for older adults, mostly through pedestrian and public transport networks, locations of essential urban services, and the organisation of their resources. In light of a significant demographic change, policymakers will have to promote age-friendly urban planning approaches to guarantee equal access to services and activities. We propose a methodology to measure accessibility to healthcare provision services that considers land-use and mobility features and older adults' behavioural traits. The method belongs to the family of 2SFCA—2 steps floating catchment area—which evaluate accessibility as the combination of both supply and demand of urban services. Therefore, we have introduced innovative elements to shape actual mobility opportunities for the elderly and their travel choices. The methodology was applied to Milan's city to measure accessibility to the Health Protection Agency (ATS) services, which is responsible for healthcare assistance to the elderly dwelling in the city. The outputs show that a significant share of older people (almost 40%) suffer from poor accessibility to primary health services and that they mostly live in the city periphery. Moreover, the application to a case study has shown that the methodology could identify the critical aspects needed to aid urban planning to achieve a high quality of life for elderly people.
9 citations
TL;DR: In this paper , the social inclusivity, economic viability, and environmental impacts of novel mobility solutions in rural contexts based on published scholarly literature are investigated. But despite emerging research on novel mobility solution in urban areas, there have been few attempts to explore the relevance and sustainability of these solutions in the rural contexts.
Abstract: Abstract Background Despite emerging research on novel mobility solutions in urban areas, there have been few attempts to explore the relevance and sustainability of these solutions in rural contexts. Furthermore, existing research addressing rural mobility solutions typically focuses on a specific user group, such as local residents, second-home owners, or tourists. In this paper, we study the social inclusivity, economic viability, and environmental impacts of novel mobility solutions in rural contexts based on published scholarly literature. When doing so, we bring both permanent and temporary residents of rural areas under one research framework. Methods We used grey literature to identify and categorise novel mobility solutions, which have been applied in European rural areas and are suitable for travelling longer distances. By using six service flexibility variables, we reached four categories of novel mobility solutions: semi-flexible demand-responsive transport, flexible door-to-door demand-responsive transport, car-sharing, and ride-sharing. We analysed the social inclusivity, economic viability, and environmental impacts of those categories based on criteria and evidence identified from scholarly literature by including the perspectives of both permanent and temporary residents of rural areas. Results Our findings revealed that while single novel mobility solutions are seldom applicable for all rural travellers, strong spatial and temporal synergies exist when combining different solutions. The need for a connected and flexible set of mobility solutions sensitive to the temporal and spatial patterns of mobility needs is inevitable. Accessible and easily understandable information on routing, booking, and ticketing systems, as well as cooperation, shared values, and trust between various parties, are key success factors for sustainable rural mobility. Conclusion Integration of the needs of various user groups is essential when aiming to achieve the provision of environmentally, socially, and economically sustainable mobility solutions in rural areas.
8 citations
TL;DR: In this paper , the authors proposed a theoretical method to discuss the influence of implementing a CAV DL policy on the freeway traffic efficiency, where the impact was measured by capacity and throughput.
Abstract: Abstract Background The imminent emergence of connected and autonomous vehicles (CAVs) highlights the need for preparing the road infrastructure for traffic flows mixed with CAVs and human-driven vehicles. A dedicated lane (DL) for CAVs is one of the practical and potential ways to upgrade the road infrastructure for the mixed traffic. Methods This paper proposes a theoretical method to discuss the influence of implementing a CAV DL policy on the freeway traffic efficiency. In detail, the impact was measured by capacity and throughput. The calculation methods of these efficiency measurements under different CAV DL policies were proposed. Experiments Numerical experiments were conducted under various compositions of CAV DL policies and traffic conditions. More specifically, the relationship between the traffic conditions (i.e., traffic demand, market penetration rate (MPR) of CAVs, platoon intensity of CAVs, willingness of CAVs using the CAV DL) and the CAV DL policies (i.e., lane configuration, DL access control policy) were discussed. Results and Conclusion The results have led to some interesting findings, including the critical values of MPR that are valuable to guide an appropriate implementation of a CAV DL policy under a specific traffic condition.
7 citations
TL;DR: In this article , the authors investigated the impact of a fleet of battery electric vehicles (BEVs) on the operating cost, greenhouse gas (GHG) emissions and primary energy demand in comparison to BEVs and to ICEV.
Abstract: Abstract The option of decarbonizing urban freight transport using battery electric vehicle (BEV) seems promising. However, there is currently a strong debate whether fuel cell electric vehicle (FCEV) might be the better solution. The question arises as to how a fleet of FCEV influences the operating cost, the greenhouse gas (GHG) emissions and primary energy demand in comparison to BEVs and to Internal Combustion Engine Vehicle (ICEV). To investigate this, we simulate the urban food retailing as a representative share of urban freight transport using a multi-agent transport simulation software. Synthetic routes as well as fleet size and composition are determined by solving a vehicle routing problem. We compute the operating costs using a total cost of ownership analysis and the use phase emissions as well as primary energy demand using the well to wheel approach. While a change to BEV results in 17–23% higher costs compared to ICEV, using FCEVs leads to 22–57% higher costs. Assuming today’s electricity mix, we show a GHG emission reduction of 25% compared to the ICEV base case when using BEV. Current hydrogen production leads to a GHG reduction of 33% when using FCEV which however cannot be scaled to larger fleets. Using current electricity in electrolysis will increase GHG emission by 60% compared to the base case. Assuming 100% renewable electricity for charging and hydrogen production, the reduction from FCEVs rises to 73% and from BEV to 92%. The primary energy requirement for BEV is in all cases lower and for higher compared to the base case. We conclude that while FCEV have a slightly higher GHG savings potential with current hydrogen, BEV are the favored technology for urban freight transport from an economic and ecological point of view, considering the increasing shares of renewable energies in the grid mix.
6 citations
TL;DR: In this article , the authors proposed and empirically compared methods to assess the robustness of a multimodal transport network, looking at aspects regarding the single-mode and multimmodal network topology.
Abstract: Abstract Introduction Worldwide public transport systems are exposed to disruptions caused by malfunctions, accidents, maintenance, reduced fleet, and disasters, compromising mobility. Transport networks’ multimodal planning and management can be explored to increase their robustness against these events. In this context, this research paper proposes and empirically compares methods to assess the robustness of a multimodal transport network, looking at aspects regarding the single-mode and multimodal network topology. Materials and Methods We hypothesize that the appropriate multilayered and traffic sensitive modeling of a multimodal transport network can help characterize robustness and further unravel vulnerabilities related to the integration of different transport modes. Using metric-based targeting, we evaluate how the network decreases performance when simulating failures on stations and pathways using different scenarios. The following six extraction strategies for nodes and edges were used in the simulation: Random removal; Initial Degree removal; Initial Betweenness removal; Recalculate Degree removal; Recalculate Betweenness removal; and Multimodal Hubs removal. Lisbon’s public transport is used as a case study and is modeled as a multiplex network integrating eight different modes of transport. Proposing a novel normalized version of assessing the impact of failures, we were able to compare side by side the robustness of each modality layer, regardless of their size. Lastly, we simulate cascading events such as the breakdown of an entire transportation line. Conclusions Using different ways to induce failures in the network, we observe that to leave all nodes completely disconnected, we would need to remove about half the network nodes, highlighting the robustness of the Lisbon public transport network. Comparing different failure scenarios, methods that rely on recalculating network metrics yield a higher impact on the network robustness assessment. The impact of different events is quantified, showing that failures in stations are generally more dangerous than in pathways and offering views on the consequences of deactivating particular network modules. Overall, the results of this study allow decision-makers to gain further understanding of the topological vulnerabilities of a transportation network.
TL;DR: In this paper , the authors proposed a theoretical method to discuss the influence of implementing a CAV DL policy on the freeway traffic efficiency, where the impact was measured by capacity and throughput.
Abstract: Abstract Background The imminent emergence of connected and autonomous vehicles (CAVs) highlights the need for preparing the road infrastructure for traffic flows mixed with CAVs and human-driven vehicles. A dedicated lane (DL) for CAVs is one of the practical and potential ways to upgrade the road infrastructure for the mixed traffic. Methods This paper proposes a theoretical method to discuss the influence of implementing a CAV DL policy on the freeway traffic efficiency. In detail, the impact was measured by capacity and throughput. The calculation methods of these efficiency measurements under different CAV DL policies were proposed. Experiments Numerical experiments were conducted under various compositions of CAV DL policies and traffic conditions. More specifically, the relationship between the traffic conditions (i.e., traffic demand, market penetration rate (MPR) of CAVs, platoon intensity of CAVs, willingness of CAVs using the CAV DL) and the CAV DL policies (i.e., lane configuration, DL access control policy) were discussed. Results and Conclusion The results have led to some interesting findings, including the critical values of MPR that are valuable to guide an appropriate implementation of a CAV DL policy under a specific traffic condition.
TL;DR: In this paper , the authors propose an approach that extends dynamic Origin-Destination (OD) matrix inference to dynamic OD matrix inference with aggregated statistics, highlighting vulnerabilities and multimodal mobility patterns from individual trip record data.
Abstract: Abstract Background The provision of seamless public transport supply requires a complete understanding of the real traffic dynamics, comprising origin-to-destination multimodal mobility patterns along the transport network. However, most current solutions are centred on the volumetric analysis of passengers’ flows, generally neglecting transfer, walking, and waiting needs, as well as the changes in the mobility patterns with the calendar and user profile. These challenges prevent a comprehensive assessment of the routing and scheduling vulnerabilities of (multimodal) public transport networks. Research aims/questions The research presented in this paper aims at addressing the above challenges by proposing a novel approach that extends dynamic Origin-Destination (OD) matrix inference to dynamic OD matrix inference with aggregated statistics, highlighting vulnerabilities and multimodal mobility patterns from individual trip record data. Methodology Given specific spatial and temporal criteria, the proposed methodology extends dynamic Origin-Destination (OD) matrices with aggregated statistics, using smart-card validations gathered from (multimodal) public transport networks. More specifically, three major contributions are tackled; i) the data enrichment in the OD matrices with statistical information besides trip volume (e.g., transfer and trip features); ii) the detection of vulnerabilities on the network pertaining to walking distances and trip durations in a user-centric way and iii) the decomposition of traffic flows in accordance with calendrical rules and user (passenger) profiles. The set of contributions are validated on the bus-and-metro public transport network in the city of Lisbon. Results The proposed approach for inferring OD matrices yields four unique contributions. First, we allow inference to consider multimodal commuting patterns, detecting individual trips undertaken along with different operators. Second, we support dynamic matrices’ OD inference along with parameterizable time intervals and calendrical rules, and further support the decomposition of traffic flows according to the user profile. Third, we allow parameterization of the desirable spatial granularity and visualisation preferences. Fourth, our solution efficiently computes several statistics that support OD matrix analysis, helping with the detection of vulnerabilities throughout the transport network. More specifically, statistical indicators related to travellers’ functional mobility needs (commuters for working purposes, etc.), walking distances and trip durations are supported. The inferred dynamic OD matrices are the outcome of a developed software with strict guarantees of usability. Results from the case study using data gathered from the two main public transport operators (Bus and Metro) in the city of Lisbon show that 77.3% of alighting stops can be estimated with a high confidence degree from bus smart-card data. The inferred OD matrices (Bus and Metro) in the city of Lisbon reveal vulnerabilities along specific OD pairs, offering the bus public operators in Lisbon new knowledge and a means to better understand dynamics and validate OD assumptions.
TL;DR: In this article , the authors present the results of a wide surveying effort across Estonian municipalities, focusing on the outputs from rural and small suburban centres, and report what are the main mobility challenges across the region and what hindering factors are preventing envisioned solutions.
Abstract: Abstract Innovation in mobility is proceeding at fast pace, the future disrupting technologies ranging from automation and connectivity to micro-mobility and electric propulsion. This research effort is justified by the impressive array of challenges that urban centres will face in the following decades, such as ageing population, urbanization and pollution. It is therefore understandable why the concept of Smart City is being researched and the major cities around the world are already carrying out trials for Smart Mobility Solutions. Still this trend, as many others, is not evenly spread but follows the urban/rural divide characterizing many of the current socio-economical phenomena. This paper, following the principles of responsible innovation, tries to build the case for a renewed research effort about smart mobility in low density areas. This is accomplished by presenting the results of a wide surveying effort across Estonian municipalities, focusing on the outputs from rural and small suburban centres. The results report what are the main mobility challenges across the region and what hindering factors are preventing envisioned solutions. Finally, the paper ties the identified mobility challenges to available Smart Mobility Solutions that arose from the surveying activity and from literature, assessing both feasibility and transferability.
TL;DR: In this paper , the authors performed a systematic mapping of the scientific literature of Web of Science and retrieved 211 studies and selected 66 studies to analyze the use of gamification in the context of transportation.
Abstract: Abstract Summary Gamification is a new theme that has been applied in different fields and has contributed to different types of behavioural change. This paper aims to describe how gamification is adopted in the context of transportation. Methods We performed a systematic mapping of the scientific literature of Web of Science and retrieved 211 studies. After the inclusion and exclusion criteria were applied, 66 studies were selected. After the full texts were read, 30 studies remained to be analysed. Findings The results show that the most commonly used gamification elements are goals/challenges and points. Gamification provides support for outcomes such as changing travel behaviour, improving driving behaviour and encouraging bicycle commuting. The use of gamification has changed the behavior of travelers, promoted sustainable travel modes, encouraged safe driving, reduced carbon dioxide emissions and reduced energy consumption. Although gamification has achieved many positive results related to transportation, there are still many difficulties and challenges.
TL;DR: In this paper , the authors identify the main bottlenecks and constraints of international rail transport and formulate concrete policy recommendations for improvements to be made in various components of the rail transport system.
Abstract: Abstract For Europe's urban agglomerations to be economically competitive, it is vital that international destinations be easily accessible. Although much has been invested in the construction of European rail infrastructure over the past century, passenger transport by rail has not grown as fast as transport by road and air. So why do people not use international trains more, even though they have an extensive international rail network at their disposal? Based on a series of in-depth interviews with relevant public and private stakeholders and two expert meetings, we identify the main bottlenecks and constraints. In order to understand the complexity of international rail transport, we have divided the existing bottlenecks into four groups corresponding to four layers of the rail transport system: mobility services, transport services, traffic services, and the physical and digital infrastructure. We formulate concrete policy recommendations for improvements to be made in the various components of the rail transport system.
TL;DR: In this paper , the authors investigated if an extended version of the theory of planned behavior is suited to predict subscription to a public transport ticket, and if environmental concern plays a significant role.
Abstract: Abstract Introduction To reduce pollution from motorized private cars, a modal shift toward more sustainable modes, such as public transport, is desired. A first step to achieving this is the subscription to a public transport ticket. It was investigated if an extended version of the theory of planned behavior is suited to predict subscription to a public transport ticket, and if environmental concern— the channel through which many sustainable transport modes are advertised — plays a significant role. It was further examined if nudging serves as an effective measure in convincing employees to subscribe to the offered ticket. Nudges encourage desired behaviors by changing the information set that individuals face when taking decisions; in this paper, this includes favorable defaults and the manipulation of the social norm . Since nudges lack a coherent theory, it was tested if these nudges can be integrated into the aforementioned theory. Method By means of an online experiment, participants ( N = 373) were randomly assigned to different nudging conditions or a control condition. The questionnaire mimicked a working contract, including the decision for or against a subscription to the ticket. Results Results of structural equation modeling revealed that the theory predicted the purchase decision well, yet the impact of environmental concern was surprisingly low. Most tickets were purchased in the default condition, but no nudge reached statistical significance. Discussion and Conclusion The limitations of nudging in the transport sector are discussed, along with the effectiveness of advertising public transport through an environmental lens.
TL;DR: In this article , the authors present the regional plan for cycling mobility in Sardinia and show how the planning of an integrated cycle network in an island context can improve sustainable mobility and accessibility in the rural areas through which it passes.
Abstract: Abstract Context Cycling is a climate-friendly means of transport that enables people to reduce their use of motorized transport and makes human settlements more inclusive and resilient. In Italy, the development of cycling has recently been boosted by the approval of Law no. 2/2018, which makes it compulsory for all Italian regions to draw up a regional cycling mobility plan. Objective To meet this regulatory provision, the Region of Sardinia approved the Regional Plan for Cycling Mobility in December 2018. Drawn up by the Sardinian Regional Transport Agency and the transportation research group of the University of Cagliari, the plan aims to lay out a regional cycle network to promote the use of the bicycle as a means of transport for both every day and tourist–recreational needs. One of the main objectives of the plan is to make the inland areas of the island more accessible, as the development of such areas tends to have been neglected compared to the coastal areas linked to seaside tourism. Hence, the plan intends to contribute to the increase of tourist flows into rural areas, which can be a strategic segment of local development. Results By analysing the methodology adopted to lay out Sardinia’s regional cycle network, the aim of the current paper is to show how the planning of an integrated cycle network in an island context can improve sustainable mobility and accessibility in the rural areas through which it passes. Furthermore, our analysis indicates that many rural settlements along the routes of the planned cycle network are sufficiently near each other for people to travel between them by bicycle. Conclusions Therefore, the cycling infrastructure could prompt a sustainable increase in the accessibility and connectivity of inland areas and stimulate the formation of clusters of small, interconnected towns and villages.
TL;DR: In this paper , the impact of travel time, travel cost, and main onboard activity is estimated based on a discrete choice experiment (DCE), where the in-vehicle onboard activities are divided into six onboard activities, where active and passive activities are considered.
Abstract: Abstract According to the economic theory assumption, travelers tend to monetize travel time based on factors related to their individual and trip characteristics. In the literature, a limited number of studies evaluating onboard activities on traveler’s utility in the presence of the autonomous vehicle (AV) are found. In the current research, traveler preferences on board of three transport modes: individual-ride autonomous vehicle (IR-AV), shared-ride autonomous vehicle (SAV), and public transport (PT) are studied. The focus of this paper is the examination of travelers in urban areas, where traveling is relatively short, and the study of the travelers’ main trip purposes. The impact of travel time, travel cost, and main onboard activity is estimated based on a discrete choice experiment (DCE). The in-vehicle onboard activities are divided into six onboard activities, where active and passive activities are considered. An experimental design and a stated preference (SP) survey are carried out. The result of the SP survey is analyzed, where a Mixed Logit (ML) model, which includes various explanatory variables, is applied. The developed model contains such variables as trip time, trip cost, main onboard activity, frequent transport mode, job, age, and car ownership. These variables show various effects on the probability of choosing a transport mode. The impact of change in travel time, travel cost, and each of the six onboard activities on traveler preferences is highlighted. As a result, variations on the impact of time, cost, and onboard activities are demonstrated. Furthermore, it is presented that people prefer using IR-AV over SAV and PT, while the probability of choosing SAV is the lowest. Besides, reading and using social media affect the utility of travelers positively (i.e., higher probability) to a greater extent than other activities, while writing alone demonstrates negative utility.
TL;DR: In this paper , the authors investigated the impact of COVID-19 on the transport sector and travel behaviour in the rural periphery and concluded that the short-term impacts have been negative, in the longer-term there may be opportunity for changed mobility behaviours (including in response to modified work and activity patterns).
Abstract: Abstract Background The design, management and operation of transport systems is a complex activity and this has only been exacerbated since the onset of the COVID-19 pandemic. Concern has been raised over the likelihood of the public transport sector surviving in some locations given the significant drops in patronage; this is especially so in rural environments where the existing provision was already limited. Furthermore, within the growing literature on the impact of COVID-19 on travel behaviour most of the focus is on urban areas with little documented experience of how rural travel behaviour has been impacted. Purpose This paper investigates the impact of COVID-19 on the transport sector and travel behaviour in the rural periphery. Methods Drawing on the work of the International Transport Forum (ITF) Working Group on Innovative Mobility for the Periphery, augmented by additional evidence and findings from the literature, this paper addresses three specific questions: Firstly, how COVID-19 has affected rural mobility. Secondly, how we can plan for sustainable rural transport solutions in the post-COVID world. Thirdly, the longer-term impacts of COVID-19 with implications for mobility. Results There will be substantial impacts from COVID-19 on rural societies and while the short-term impacts have been negative, in the longer-term there may be opportunity for changed mobility behaviours (including in response to modified work and activity patterns). Evidence suggests that it would seem likely that there are opportunities to foster new rural mobility solutions to support sustainable mobility (including Mobility-as-a-Service) and counter the traditionally fragmented transport base; this will be important as we learn to live with COVID-19. Conclusions While recognising the impact of changing funding priorities and the possible shift in economic activity as a result of the pandemic we conclude with suggestions for future rural transport policy.
TL;DR: In this article , the authors investigated the effect of extended supply outside peak hours on regional public transport services and found that the added off-peak departures may attract more passengers even if they normally do not or only occasionally use the off peak services.
Abstract: Abstract The purpose of this study is to look into patronage effects of extended supply outside peak hours on regional public transport services. Previous studies have shown that the service frequency is an attribute of great importance for regional passengers, but little is known about the details regarding peak and off-peak frequencies or service hours. The present study addresses this knowledge gap, departing from the hypothesis that additional off-peak supply means more flexibility for the passengers in terms of departure time options, and possibly also a sense of security for passengers who are uncertain about the time of their (return) trips. Essentially, the added off-peak departures may attract more passengers even if they normally do not or only occasionally use the off-peak services. The patronage effects are explored through four case studies from the region of Scania in southern Sweden. The cases include regional rail and bus services where substantial improvements have been made outside peak hours, resulting in at least hourly all-day services. The results of the study provide new insights into the fundamental planning policy trade-off between maximum frequency and span of public transport services in urban peripheries and rural areas. Importantly, the results suggest that improved time coverage may lead to substantial patronage growth, and this growth is evident also during peak hours, despite unaltered peak hour frequencies. Hence, off-peak departures cannot be assessed only through patronage levels in isolated time periods, let alone on the individual departures.
TL;DR: In this article , the impact of travel time, travel cost, and main onboard activity is estimated based on a discrete choice experiment (DCE), where the in-vehicle onboard activities are divided into six onboard activities, where active and passive activities are considered.
Abstract: Abstract According to the economic theory assumption, travelers tend to monetize travel time based on factors related to their individual and trip characteristics. In the literature, a limited number of studies evaluating onboard activities on traveler’s utility in the presence of the autonomous vehicle (AV) are found. In the current research, traveler preferences on board of three transport modes: individual-ride autonomous vehicle (IR-AV), shared-ride autonomous vehicle (SAV), and public transport (PT) are studied. The focus of this paper is the examination of travelers in urban areas, where traveling is relatively short, and the study of the travelers’ main trip purposes. The impact of travel time, travel cost, and main onboard activity is estimated based on a discrete choice experiment (DCE). The in-vehicle onboard activities are divided into six onboard activities, where active and passive activities are considered. An experimental design and a stated preference (SP) survey are carried out. The result of the SP survey is analyzed, where a Mixed Logit (ML) model, which includes various explanatory variables, is applied. The developed model contains such variables as trip time, trip cost, main onboard activity, frequent transport mode, job, age, and car ownership. These variables show various effects on the probability of choosing a transport mode. The impact of change in travel time, travel cost, and each of the six onboard activities on traveler preferences is highlighted. As a result, variations on the impact of time, cost, and onboard activities are demonstrated. Furthermore, it is presented that people prefer using IR-AV over SAV and PT, while the probability of choosing SAV is the lowest. Besides, reading and using social media affect the utility of travelers positively (i.e., higher probability) to a greater extent than other activities, while writing alone demonstrates negative utility.
TL;DR: In this article , the authors present the results of a wide surveying effort across Estonian municipalities, focusing on the outputs from rural and small suburban centres, and report what are the main mobility challenges across the region and what hindering factors are preventing envisioned solutions.
Abstract: Abstract Innovation in mobility is proceeding at fast pace, the future disrupting technologies ranging from automation and connectivity to micro-mobility and electric propulsion. This research effort is justified by the impressive array of challenges that urban centres will face in the following decades, such as ageing population, urbanization and pollution. It is therefore understandable why the concept of Smart City is being researched and the major cities around the world are already carrying out trials for Smart Mobility Solutions. Still this trend, as many others, is not evenly spread but follows the urban/rural divide characterizing many of the current socio-economical phenomena. This paper, following the principles of responsible innovation, tries to build the case for a renewed research effort about smart mobility in low density areas. This is accomplished by presenting the results of a wide surveying effort across Estonian municipalities, focusing on the outputs from rural and small suburban centres. The results report what are the main mobility challenges across the region and what hindering factors are preventing envisioned solutions. Finally, the paper ties the identified mobility challenges to available Smart Mobility Solutions that arose from the surveying activity and from literature, assessing both feasibility and transferability.
TL;DR: In this paper , the authors investigated the effect of extended supply outside peak hours on regional public transport services and found that the added off-peak departures may attract more passengers even if they normally do not or only occasionally use the off peak services.
Abstract: Abstract The purpose of this study is to look into patronage effects of extended supply outside peak hours on regional public transport services. Previous studies have shown that the service frequency is an attribute of great importance for regional passengers, but little is known about the details regarding peak and off-peak frequencies or service hours. The present study addresses this knowledge gap, departing from the hypothesis that additional off-peak supply means more flexibility for the passengers in terms of departure time options, and possibly also a sense of security for passengers who are uncertain about the time of their (return) trips. Essentially, the added off-peak departures may attract more passengers even if they normally do not or only occasionally use the off-peak services. The patronage effects are explored through four case studies from the region of Scania in southern Sweden. The cases include regional rail and bus services where substantial improvements have been made outside peak hours, resulting in at least hourly all-day services. The results of the study provide new insights into the fundamental planning policy trade-off between maximum frequency and span of public transport services in urban peripheries and rural areas. Importantly, the results suggest that improved time coverage may lead to substantial patronage growth, and this growth is evident also during peak hours, despite unaltered peak hour frequencies. Hence, off-peak departures cannot be assessed only through patronage levels in isolated time periods, let alone on the individual departures.
TL;DR: In this paper , the authors present the regional plan for cycling mobility in Sardinia and show how the planning of an integrated cycle network in an island context can improve sustainable mobility and accessibility in the rural areas through which it passes.
Abstract: Abstract Context Cycling is a climate-friendly means of transport that enables people to reduce their use of motorized transport and makes human settlements more inclusive and resilient. In Italy, the development of cycling has recently been boosted by the approval of Law no. 2/2018, which makes it compulsory for all Italian regions to draw up a regional cycling mobility plan. Objective To meet this regulatory provision, the Region of Sardinia approved the Regional Plan for Cycling Mobility in December 2018. Drawn up by the Sardinian Regional Transport Agency and the transportation research group of the University of Cagliari, the plan aims to lay out a regional cycle network to promote the use of the bicycle as a means of transport for both every day and tourist–recreational needs. One of the main objectives of the plan is to make the inland areas of the island more accessible, as the development of such areas tends to have been neglected compared to the coastal areas linked to seaside tourism. Hence, the plan intends to contribute to the increase of tourist flows into rural areas, which can be a strategic segment of local development. Results By analysing the methodology adopted to lay out Sardinia’s regional cycle network, the aim of the current paper is to show how the planning of an integrated cycle network in an island context can improve sustainable mobility and accessibility in the rural areas through which it passes. Furthermore, our analysis indicates that many rural settlements along the routes of the planned cycle network are sufficiently near each other for people to travel between them by bicycle. Conclusions Therefore, the cycling infrastructure could prompt a sustainable increase in the accessibility and connectivity of inland areas and stimulate the formation of clusters of small, interconnected towns and villages.
TL;DR: In this article , the impact of the coronavirus disease (COVID-19) on the shipping freights was determined by using the wavelet quantile on the quantile approach.
Abstract: Abstract This study determines the impact of the coronavirus disease (COVID-19) that has been prevalent since the year 2019, on the shipping freights. This task has been undertaken by using the wavelet quantile on the quantile approach. The results of the study affirm that the pandemic has in fact affected the shipping freight costs, primarily due to the lower demand for energy and raw materials, and the unavailability of the vessels. In addition to this, the spread of COVID-19 has had a positive impact on the Baltic Dry Index in the high quantiles and is deemed to be more responsive in the long run. Also, the COVID-19 infection has had a negative effect on the Baltic Dry Tanker Index and the Baltic Clean Tanker Index in the medium to high quantiles, particularly in the short and the medium run. The positive impact of COVID-19 on the Baltic Clean Tanker Index has been recognized in the long term in the high quantiles. These findings support the theoretical model which states that the spread of COVID-19 and the shipping freights are closely related. The results suggest that the degree of the effect is more causal in the short. Therefore, the shipping industry must ideally pay special attention to the detection of abrupt changes in the freight rate dynamics, and the specific regulations regarding these intricacies are critical.
TL;DR: In this paper , the authors performed a systematic mapping of the scientific literature of Web of Science and retrieved 211 studies and selected 66 studies to analyze the use of gamification in the context of transportation.
Abstract: Abstract Summary Gamification is a new theme that has been applied in different fields and has contributed to different types of behavioural change. This paper aims to describe how gamification is adopted in the context of transportation. Methods We performed a systematic mapping of the scientific literature of Web of Science and retrieved 211 studies. After the inclusion and exclusion criteria were applied, 66 studies were selected. After the full texts were read, 30 studies remained to be analysed. Findings The results show that the most commonly used gamification elements are goals/challenges and points. Gamification provides support for outcomes such as changing travel behaviour, improving driving behaviour and encouraging bicycle commuting. The use of gamification has changed the behavior of travelers, promoted sustainable travel modes, encouraged safe driving, reduced carbon dioxide emissions and reduced energy consumption. Although gamification has achieved many positive results related to transportation, there are still many difficulties and challenges.
TL;DR: In this paper , the authors highlight an ADAS performance assessment method based on the disaggregation of $$\Delta V$$ and impact eccentricity, represented by the Crash Momentum Index (CMI).
Abstract: Structured abstract Introduction Prospective and retrospective performance assessment of Advanced Driver Assistance Systems (ADASs) is fundamental to pilot future enhancements for active safety devices. In critical road scenarios between two vehicles where ADAS activation enables collision mitigation only, currently available assessment methodologies rely on the reconstruction of the impact phase consequent to the specific intervention on braking and steering: the velocity change sustained by the vehicle in the collision ( $$\Delta V$$ Δ V ) is retrieved, so that IR decrease for the vehicle occupants can be obtained by appropriate Injury Risk (IR) models. However, information regarding the ADAS performance is available only after the impact phase reconstruction and not just as when the criticality occurs in the pre-impact phase: the best braking and steering alternative cannot be immediately envisaged, since a direct correlation lacks between the braking/steering intervention and IR. Method This work highlights an ADAS performance assessment method based on the disaggregation of $$\Delta V$$ Δ V in the two pre-impact parameters closing velocity at collision ( $$V_r$$ V r ) and impact eccentricity, represented by the Crash Momentum Index (CMI). Such a disaggregation leads to the determination of IR based solely on impact configuration between the vehicles, without directly considering the impact phase. The performance of diverse ADASs in terms of intervention logic are directly comparable based on the resulting impact configuration, associated with a single coordinate in the CMI- $$V_r$$ V r plane and a sole IR value as a consequence. Results The CMI- $$V_r$$ V r approach is employable for both purposes of prospective and retrospective performance assessment of ADAS devices. To illustrate the advantages of the methodology, a solution for prospective assessment based on the CMI- $$V_r$$ V r plane is initially proposed and applied to case studies: this provides direct suggestions regarding the most appropriate interventions on braking and steering for IR minimization, fundamental in the tuning or development phase of an ADAS. A method for retrospective assessment is ultimately contextualized in the EuroNCAP “Car-to-Car Rear moving” test for an Inter-Urban Autonomous Emergency Braking system, a device implemented on a significant portion of the circulating fleet. Conclusions Based on the evidenced highlights, it is demonstrated that the approach provides complementary information compared to well-established performance assessment methodologies in all stages of an ADAS life cycle, by suggesting a direct physical connection in the pre-impact phase between the possible ADAS interventions and the foreseeable injury outcomes.
TL;DR: In this article , the authors quantify the combined effects of traffic volume and meteorological parameters on hourly probabilities of 78 different crash types using generalized additive models and evaluate the increase in relative risk of different crash type in case of precipitation, sun glare and high wind speeds.
Abstract: Abstract Adverse weather conditions can have different effects on different types of road crashes. We quantify the combined effects of traffic volume and meteorological parameters on hourly probabilities of 78 different crash types using generalized additive models. Using tensor product bases, we model non-linear relationships and combined effects of different meteorological parameters. We evaluate the increase in relative risk of different crash types in case of precipitation, sun glare and high wind speeds. The largest effect of snow is found in case of single-truck crashes, while rain has a larger effect on single-car crashes. Sun glare increases the probability of multi-car crashes, in particular at higher speed limits and in case of rear-end crashes. High wind speeds increase the probability of single-truck crashes and, for all vehicle types, the risk of crashes with objects blown on the road. A comparison of the predictive power of models with and without meteorological variables shows an improvement of scores of up to 24%, which makes the models suitable for applications in real-time traffic management or impact-based warning systems. These could be used by authorities to issue weather-dependent driving restrictions or situation-specific on-board warnings to improve road safety.
TL;DR: In this article , the authors developed and applied a creative and participatory methodology to develop visions and disrupted scenarios for rural mobility in the Belgian village of Oetingen, where inhabitants developed more resilient views of the future by creating disrupted mobility scenarios and a preferred mobility vision for their village for the year 2050 in a participatory scenario building exercise.
Abstract: Abstract Background Historically, quantitative forecasting methods have been used in transport planning. As forecasts can be unreliable to plan for the medium- and long-term, scenario building has recently been increasingly used. However, scenario building methods often fail to take disruptions and wild cards into account, i.e., low probability but high impact events. When unaccounted for, wild card events, like the COVID-19 pandemic, lower the efficacy of scenario building in policy making, as these events may completely disturb the developed scenarios of the future. Methods In this paper, we develop and apply a creative and participatory methodology to develop visions and disrupted scenarios for rural mobility. Our research was carried out in the Belgian village of Oetingen, where inhabitants developed more resilient views of the future by creating disrupted mobility scenarios and a preferred mobility vision for their village for the year 2050 in a participatory scenario building exercise. Wild cards related to mobility were collected from mobility experts and inhabitants in three workshops. Inhabitants were engaged to define their mobility vision on a postcard that was distributed to all houses in the village as well as on a project website. Respondents were invited for a follow-up interview in which their preferred mobility vision was subjected to the wild cards, and participants described how these wild cards would change their preferred vision. As children tend to have more creative ideas, they were engaged via workshops at school. Results This process resulted in mobility scenarios for the village for the year 2050 based on the different wild cards, as well as an overall desired vision. We found that the use of wild cards did not significantly change the scenarios when compared to the vision, although it did make the interviewees step outside of their comfort zones. We also found that the citizens did not have more original and less path-dependent ideas in developing wild cards when compared to experts. Lastly, we found that children have many outside-of-the-box suggestions when it comes to the future. Although some of their ideas can be judged as impractical by today’s standards, many ideas had an indirect implication for mobility in the village and gave insights into children’s priorities, as potential future residents of the village.