2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

Historically, management theory has ignored the constraints imposed by the biophysical (natural) environment. Building upon resource-based theory, this article attempts to fill this void by proposing a natural-resource-based view of the firm—a theory of competitive advantage based upon the firm's relationship to the natural environment. It is composed of three interconnected strategies: pollution prevention, product stewardship, and sustainable development. Propositions are advanced for each of these strategies regarding key resource requirements and their contributions to sustained competitive advantage.

A natural resource-based view of the firm

The link between protected areas and tourism is as old as the history of protected areas. Though the relationship is complex and sometimes adversarial, tourism is always a critical component to consider in the establishment and management of protected areas. These guidelines aim to build an understanding of protected area tourism, and its management. They provide both a theoretical structure and practical guidelines for managers. The underlying aim is to ensure that tourism contributes to the purposes of protected areas and does not undermine them.

Sustainable tourism in protected areas : guidelines for planning and management (Russian version)

Due to the ever-increasing harmful emissions affecting natural life and health seriously, it is inevitable the usage of renewable energy sources instead of fossil resources in the near future. Another drawback of fossil fuels is several threats like environmental pollution and global warming, which are potential risks for future generations. Given that the transportation sector makes a huge contribution to carbon emissions, the importance of battery electric vehicles (BEVs), which are an eco-friendly form of vehicles is obvious. Because the BEV market has been rapidly expanding recently, it has become a significant issue to assess BEV alternatives comprehensively from the customer's point of view. This assessment can be made by addressing the basic features of each BEV. Further, multiple criteria decision making (MCDM) techniques are efficient instruments for the right BEV purchase decision. In this work, therefore, ten BEVs are chosen as alternatives. These vehicles are then ranked using SECA, MARCOS, MAIRCA, COCOSO, ARAS, and COPRAS multi-criteria techniques on the basis of technical specifications, such as acceleration, price, battery, range, and so on. Afterward, results from various MCDM techniques are aggregated by applying the Borda count and Copeland ranking methodologies. “Price”, “permitted load,” and “energy consumption” are determined as the most three significant factors for BEV selection, respectively, whereas Tesla Model S is highlighted as the best choice. Further, the robustness and reliability of the results are performed by applying a sensitivity analysis. The proposed framework can be utilized as a basis for more detailed purchasing decisions.

A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies

Assessment of alternative fuel vehicles for sustainable road transportation of United States using integrated fuzzy FUCOM and neutrosophic fuzzy MARCOS methodology

The ever increasing global warming is affecting both the environment and quality of life. The dependency on the usage of fossil fuels for transportation and power generation sector is harming the environment in terms of greenhouse gas (GHG) emissions. To limit the use of fossil fuel, the world has to move towards a renewable, clean, and economical form of energy. In the transportation sector, the paradigm shift towards electric mobility is a step towards the same goal. For a developing country like Pakistan, due to the lacking charging infrastructure, load shedding of electricity, and high cost of non-renewable electrical energy, a country like Pakistan cannot go dependent on fully electric vehicles (EVs). The country has to shift from normal internal combustion engine vehicles (ICEVs) to hybrid electric vehicles (HEVs). This paper aims to select the most sustainable HEV in the context of a developing country, Pakistan. Using the multi-criteria decision making (MCDM) technique, i.e., fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), based on ten criteria and seven alternatives, it has been found that Toyota Aqua outperforms among all the other alternatives in terms of economic, social, and environmental perspective. Furthermore, to move towards hybrid technology, the government has to give relaxation in terms of customs duty and should encourage auto manufacturers to set up local industries of such vehicles in the country.

Sustainable hybrid electric vehicle selection in the context of a developing country

This paper aims to explore the impact of lean, Six Sigma and environmental sustainability on the performance of small and medium enterprises (SMEs) in Pakistan. The firm performance has been measured in terms of operational, business and environmental performance.,A survey-based methodology is adopted for collecting data from the main cities of Punjab, Pakistan. SMEs related to different industries such as service, manufacturing, automotive and retail were targeted. The data gathered were ordinal, and Spearman's correlation test was used as the data analysis technique.,The findings indicated that the three management styles positively impacted the environmental performance of SMEs. Moreover, no significant relationship was found between the three management styles and the SMEs' business and operational performance.,To counter the inefficient and wasteful practices of SMEs and their detrimental impact on overall firm performance, SMEs have to refocus and reconfigure their management strategies. It is implied to use lean, Six Sigma and environmental sustainability practices to achieve this goal.,The study empirically investigates the impact of lean, Six Sigma and environmental sustainability on the performance of SMEs in Pakistan, which is the first study to be conducted in the Pakistani context.

Impact of Lean, Six Sigma and environmental sustainability on the performance of SMEs

Environmental concerns are on the rise around the world, as carbon emissions are increasing rapidly and which is one of the leading causes of global warming. These emissions come from different sectors but the biggest contribution comes from the transport sector. As countermeasures, countries are shifting toward electric vehicles, which are much greener modes of transportation. Currently, different types of electric vehicles are available in the market. The selection of a viable type of electric vehicle for a developing country like Pakistan needs proper evaluation. In this study, two techniques are used. Firstly, fuzzy Strength, Weaknesses, Opportunities, and Threats (SWOT) approach is used for the selection of a suitable vehicle for the future market of Pakistan. Secondly, fuzzy linear programming is used to check the viability of electric vehicles in the current market scenario. Using these techniques, hydrogen fuel cell vehicle is selected as the most advantageous vehicle for Pakistan’s future market and the hybrid electric vehicle comes out as the best alternative for the current market. The techniques and the case study of Pakistan are the main novelty of this study, as no literature exists on electric vehicles with these methods on Pakistan’s perspective. Based on the results, different recommendations are given to the policymakers of Pakistan. The recommended policies could make electric vehicles a prime competitor to the combustion vehicles in the current and future markets.

Moving toward green mobility: overview and analysis of electric vehicle selection, Pakistan a case in point

This research aims to analyze a literature review of publications that have incorporated the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods. The AHP and ANP methods have contributed to decision-making in complex situations in recent years and possess widespread applications. Such applications are spread over the years with publications in various major areas such as engineering/technology/applied sciences, social sciences, health sciences, and environmental studies. These two methods provide multiple solutions to researchers in these fields, which is why they are being considered in the current study. For this purpose, data was collected from 920 research papers after a vigorous literature review using different search engines. This paper aims to classify the publications on AHP and ANP methods from the years 2000 to 2019 to identify recognized journals based on their indexes. Furthermore, another objective of this study is to compare total publications by year, publications by field by year, and lastly, observe the distribution by country of the studies. This paper concludes that the highest number of publications are from Turkey, and the highest number of publications used AHP method applications in every category. Most of the publications belonged to the technical fields, followed by social sciences. The study concluded that the AHP method is more widely preferred by researchers in almost every field and application because it tends to produce more accurate results than the ANP.

ANALYTICAL HIERARCHY PROCESS (AHP) AND ANALYTIC NETWORK PROCESS METHODS AND THEIR APPLICATIONS: A TWENTY YEAR REVIEW FROM 2000-2019 : AHP & ANP techniques and their applications: Twenty years review from 2000 to 2019

Cold supply chain (CSC) is a process that involves temperature-controlled activities ranging from the acquisition of raw materials and down to the end consumers. A sustainable cold chain supplier is the one that incorporates sustainable practices in its complete cycle of operations. This is to ensure keeping the products from going to waste, especially in the case of a developing country. To identify the driving factors towards the sustainable cold chain supplier, this study utilizes the interpretive structural modelling (ISM) approach in the first phase. Fifteen various sustainability factors were analyzed and the “utilization of renewable resources” factor concluded to be the most important driving factor. By implementing renewable resources, a supplier can be able to convert its manufacturing processes and services to sustainable assets. The second phase of this study conducts the selection of cold chain suppliers in the context of Pakistan. For this purpose, fuzzy VIKOR, a multi-criteria decision-making (MCDM) technique is incorporated to analyze eight suppliers based on fifteen distinct criteria. The results concluded Mitchell foods to be the most economically, environmentally and socially sustainable suppliers in the context of Pakistan. This study recommends providing business-friendly incentives to suppliers like Mitchells and new investors who tend to keep their operations sustainable by adopting renewable resources. Furthermore, the relaxation of taxes and creating job employability by working with sustainable suppliers can contribute positively towards economic growth and the overall society. The study holds novelty in the area of cold chain supplier selection for Pakistan by utilizing a novel approach in the form of ISM and fuzzy VIKOR techniques, thus forming a major application of this research study.

Amin Ullah Khan

Papers

Sustainable hybrid electric vehicle selection in the context of a developing country

Impact of Lean, Six Sigma and environmental sustainability on the performance of SMEs

Moving toward green mobility: overview and analysis of electric vehicle selection, Pakistan a case in point

ANALYTICAL HIERARCHY PROCESS (AHP) AND ANALYTIC NETWORK PROCESS METHODS AND THEIR APPLICATIONS: A TWENTY YEAR REVIEW FROM 2000-2019 : AHP & ANP techniques and their applications: Twenty years review from 2000 to 2019

Sustainable supplier selection for the cold supply chain (CSC) in the context of a developing country