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Journal ArticleDOI

Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing

TL;DR: In this article, a new scheme for Beijing public bicycle system is introduced based on the worldwide experiences on the implementation of public bicycle plans, and the authors analyze the causes for failure of the first generation bicycle system in Beijing.
About: This article is published in Procedia - Social and Behavioral Sciences.The article was published on 2012-01-01 and is currently open access. It has received 130 citations till now. The article focuses on the topics: Beijing & Last mile.
Citations
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Journal ArticleDOI
TL;DR: Analysis of impact to the existing transportation system finds that both bikeshar and e-bikeshare will tend to draw users away from the "unsheltered modes", walk, bike, and e -bike.
Abstract: China leads the world in both public bikeshare and private electric bike (e-bike) growth. Current trajectories indicate the viability of deploying large-scale shared e-bike (e-bikeshare) systems in China. We employ a stated preference survey and multinomial logit to model the factors influencing the choice to switch from an existing transportation mode to bikeshare or e-bikeshare in Beijing. Demand is influenced by distinct sets of factors: the bikeshare choice is most sensitive to measures of effort and comfort while the e-bikeshare choice is more sensitive to user heterogeneities. Bikeshare demand is strongly negatively impacted by trip distance, temperature, precipitation, and poor air quality. User demographics however do not factor strongly on the bikeshare choice, indicating the mode will draw users from across the social spectrum. The e-bikeshare choice is much more tolerant of trip distance, high temperatures and poor air quality, though precipitation is also a highly negative factor. User demographics do play a significant role in e-bikeshare demand. Analysis of impact to the existing transportation system finds that both bikeshare and e-bikeshare will tend to draw users away from the "unsheltered modes", walk, bike, and e-bike. Although it is unclear if shared bikes are an attractive "first-and-last-mile solution", it is clear that e-bikeshare is attractive as a bus replacement. Language: en

315 citations

Journal ArticleDOI
TL;DR: In this article, the authors employed a multiple linear regression model to examine the influence of built environment variables on trip demand as well as on the ratio of demand to supply (D/S) at bike stations.

160 citations


Cites background from "Solving the Last Mile Problem: Ensu..."

  • ...…Buehler, 2012; El-Assi et al., 2015; Ewing and Cervero, 2010; Faghih-Imani and Eluru, 2015, 2016; Faghih-Imani et al., 2014; Gonzalez et al., 2016; Maurer, 2012; Rixey, 2013; Wang et al., 2016), and with the kind of activities that take place in the neighborhood (Borgnat et al., 2011;…...

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  • ...Moreover, Maurer (2012) found that population density and bike lanes have no significant relationwith bike use....

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Journal ArticleDOI
TL;DR: An exact algorithm for the Static Bicycle Rebalancing Problem is presented and results of computational tests on benchmark instances from the literature show that instances with up to 60 stations can be solved to optimality within 2 hours of computing time.

152 citations

Journal ArticleDOI
01 Aug 2019-Cities
TL;DR: Wang et al. as mentioned in this paper analyzed spatial patterns of apartment prices and their association with local attributes in Shanghai and found that Shanghai's residential market still has a monocentric structure because of the centralized distribution of public transport facilities and amenities.

141 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the determinants of people's choices to transfer by bicycle as a travel mode and found that travel distance is the most important influence on rates of cycling for transfer trips between metro stations and home or workplace.
Abstract: Bicycle-transit integration, in which cycling is used to as a transfer mode to/from transit station is widely believed to be one very important way of promoting a transit city and achieving efficient and sustainable urban transport systems. However, the empirical evidence for the determinants of people’s choices to transfer by bicycle as a travel mode remain largely unstudied. This paper investigates this issue, using Beijing and its metro system as a case study. Using a multilevel logistic model, we found that travel distance is the most important influence on rates of cycling for transfer trips between metro stations and home or workplace. There were also socioeconomic influences, with young people being less likely to cycle and more likely to use buses. Middle- and high-income earners were more likely to drive than cycle, while low-income earners were more likely to take the bus. Personal attitudes are also influential—those who prefer cheap travel were more likely to cycle. Above results suggest that the increasing city size and urban expansion are great challenges to cycling systems in growing cities. The presence of bicycle-sharing programs, mixed land use, and green parks in metro station areas were associated with greater rates of cycling transfer. In order to promote Bicycle-and-Ride schemes in metro station areas, education initiatives designed to influence behavior should be integrated with investment in bicycle infrastructure.

136 citations

References
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Journal ArticleDOI
TL;DR: In this paper, the authors examined the potential success of smart bike programs in the United States and showed that there are currently no smart bike rental systems in the US. In 1996, the smart bike, or automated bike rental system, was first implemented in the UK, leading to a growing number of programs throughout Europe and Asia.
Abstract: Bicycle-sharing programs have received increasing attention in recent years with initiatives to increase bike usage, better meet the demand of a more mobile public, and lessen the environmental impacts of our transportation activities. In 1996, the smart bike, or automated bike rental system, was first implemented in the United Kingdom, leading to a growing number of programs throughout Europe and Asia. However, there are presently no such programs in the United States. This article examines the potential success of smart bike programs in the United States.

137 citations

01 Jan 2010
TL;DR: In this article, the authors investigated the role and effects of a bicycle sharing system, and studied the feasi-bility of such a system in Plymouth, New Hampshire, USA.
Abstract: This thesis investigates the role and effects of a bicycle sharing system, and studies the feasi-bility of such a system in Plymouth. The research consists of a literature review, policy dis-cussion, case studies, and a detailed assessment of t

9 citations