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The Improvement of Bike-Sharing System Help Urban Development and Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3297

Special Issue Editors

Institute of High-Performance Computing, Agency for Science, Technology, and Research, Singapore
Interests: transportation planning; land-use modeling; travel demand modeling; complex network; climate change
College of Transportation, Shandong University of Science and Technology, Qingdao, China
Interests: maritime transport simulation; agent-based modeling of transport systems; transport resilience; autonomous vehicle

Special Issue Information

Dear Colleagues,

Shared mobility modes, including bike-share, have gained worldwide popularity over the last decade. Of note, bike-share usage has even experienced a marked rise during the ongoing COVID-19 pandemic. This indicates that this new public transport mode has become a crucial component of the multi-modal transport system in most cities. While bike-share has added good value to the urban transport system, it should also be noted that this emerging transport mode has experienced rapid and constant technological improvements since its birth not long ago. While bike-share is still a new member of the complex urban system, its consistent transformations are dynamically changing the urban transport landscape.

Additionally, transportation systems are experiencing unprecedented uncertainties due to external disruptions such as terrorist attacks, public health crises, and other unexpected social events. These uncertainties add another layer of urgency, which prompts us to seek a refreshed comprehension of the latest developments in bike-share and its variants. Therefore, this Special Issue aims to encourage scholars and researchers to systematically discuss possibilities for the improvement of bike-share systems from different angles, such as technology, management, and policy. It is hoped that this Special Issue will provide a venue to facilitate new ideas regarding how better bike-share infrastructure or management can contribute to smart urban growth and the sustainable growth of human settlements. The research outputs from this Special Issue aim to complement the past efforts in understanding the physics and mechanics of bike-share systems and their contributing role to the entire city system. We thus welcome the submission of papers related to sustainable urban development and with outcomes based on solid research and good quality data.

Upon this background, appropriate topics include but are not limited to the following:

  • The recent development of bike-share technologies.
  • The economy of sharing mobility (including bike-share).
  • Bike-share and the resilience of transport systems.
  • Survey of advanced transportation technologies, including bike-share.
  • Conflicts between emerging bike-share systems (e.g., e-bike, e-scooter, etc.) and other urban components (e.g., greenspace, walking path, etc.).
  • Implications of bike-share improvements for urban development and sustainability policies.
  • The role of bike-share in urban transportation systems in a post-coronavirus era.
  • New generations of bike-share systems and their relationships with sustainable transportation.
  • Contribution of bike-share to a low-carbon urban environment.

Dr. Jie Song
Dr. Liye Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bike-share
  • resilience
  • urban development
  • disruption
  • sharing economy

Published Papers (3 papers)

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Research

23 pages, 1218 KiB  
Article
A Quantitative Study on Factors Influencing User Satisfaction of Micro-Mobility in China in the Post-Sharing Era
by Wenting Cheng, Jierui Yang, Xiaoxuan Wu, Tengteng Zhang and Zhelin Yin
Sustainability 2024, 16(4), 1637; https://doi.org/10.3390/su16041637 - 16 Feb 2024
Viewed by 1142
Abstract
In the post-sharing era, the evolution of the shared micro-mobility industry has transitioned from expanding market share to providing precise services. The focus on user satisfaction has shifted from a singular emphasis on functional utility to diversified product values. Product perceived value has [...] Read more.
In the post-sharing era, the evolution of the shared micro-mobility industry has transitioned from expanding market share to providing precise services. The focus on user satisfaction has shifted from a singular emphasis on functional utility to diversified product values. Product perceived value has emerged as a comprehensive factor for enhancing user satisfaction, aiding companies in formulating precise services, mitigating urban resource wastage, and promoting sustainable urban development. From the perspective of product perceived value, this study combined the analysis of factors affecting user satisfaction of shared micro-mobility and the interaction between these aspects and carried out the following two studies. Research No. 1: By mining the user review data on app platforms related to shared micro-mobility and adopting the latent dirichlet allocation (LDA) algorithm, we have initially identified 17 major factors affecting the satisfaction of users and summarized these factors into four research topics constituting product perceived value. Research No. 2: On the basis of Research No. 1, the content of the American Customer Satisfaction Index (ACSI) was expanded, and a user satisfaction research model focusing on the perceived value of shared micro-mobility products was constructed. Afterwards, by using the data collected in questionnaire surveys, structural equation modeling (SEM) was used to model the user satisfaction of shared micro-mobility through SEM, which was deployed to establish an empirical analysis. It is found that (1) both user expectation and product quality can positively affect the perceived value of products through interactive experience; (2) factors such as user expectation, product quality, interactive experience, and subjective consciousness can positively affect user satisfaction through the perceived value of products, with user expectation delivering the greatest influence; and (3) subjective consciousness has a direct positive effect on users’ willingness to continuously use a product but no significant effect on user satisfaction. These findings expand the user satisfaction theoretical model in the field of shared micro-mobility, constitute suggestions for product development and service promotion in the shared micro-mobility industry, and can provide new ideas and methods for the sustainable development of urban transportation. Full article
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23 pages, 4194 KiB  
Article
Research on Hybrid Scheduling of Shared Bikes Based on MLP-GA Method
by Chuanxiang Ren, Hui Xu, Changchang Yin, Liye Zhang, Chunxu Chai, Qiu Meng and Fangfang Fu
Sustainability 2023, 15(24), 16634; https://doi.org/10.3390/su152416634 - 7 Dec 2023
Cited by 1 | Viewed by 633
Abstract
Bike-sharing systems with convenience and flexibility have been appearing more and more in cities and become a necessary tool of travel for people. However, the distribution of bikes is highly unbalanced due to the changes in user demand, which leads to the unfavorable [...] Read more.
Bike-sharing systems with convenience and flexibility have been appearing more and more in cities and become a necessary tool of travel for people. However, the distribution of bikes is highly unbalanced due to the changes in user demand, which leads to the unfavorable situation of “no bikes available” or “too many bikes” at some bike stations. For this reason, this paper proposes a hybrid scheduling method, which combines truck-based scheduling (TBS) and user-based scheduling (UBS). Firstly, a hybrid scheduling model (HBS) combining TBS and UBS is established. Secondly, a method combining multilayer perceptron and genetic algorithm (MLP-GA) is proposed to solve the model. Thirdly, the HBS model is simulated and analyzed by the example. The results show that the MLP-GA method converges, has a faster running time than the genetic algorithm and can obtain solutions with lower total cost and shorter optimal truck path. Further analysis shows that HBS is more implementable in practice and can shorten the optimal truck path and reduce the scheduling total cost while allowing users to use the shared bike in an affordable way, thus realizing the efficient operation of the shared bike system. Finally, a sensitivity analysis of the reward coefficients is performed. This shows that as the reward coefficient increases, the cost of HBS generally shows an increasing trend when the reward coefficient is small, reaches a maximum value when the reward coefficient is 0.6, and decreases slightly thereafter. Full article
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33 pages, 7523 KiB  
Article
A Cluster-Then-Route Framework for Bike Rebalancing in Free-Floating Bike-Sharing Systems
by Jiaqing Sun, Yulin He and Jiantong Zhang
Sustainability 2023, 15(22), 15994; https://doi.org/10.3390/su152215994 - 16 Nov 2023
Cited by 1 | Viewed by 873
Abstract
Bike-sharing systems suffer from the problem of imbalances in bicycle inventory between areas. In this paper, we investigate the rebalancing problem as it applies to free-floating bike-sharing systems in which the bicycles can be rented and returned almost anywhere. To solve the rebalancing [...] Read more.
Bike-sharing systems suffer from the problem of imbalances in bicycle inventory between areas. In this paper, we investigate the rebalancing problem as it applies to free-floating bike-sharing systems in which the bicycles can be rented and returned almost anywhere. To solve the rebalancing problem efficiently, we propose a framework that includes (1) rebalancing nodes at which requirements for the redistribution (pickup or delivery) of bicycles are determined, (2) “self-balanced” clusters of rebalancing nodes, and (3) bicycle redistribution by service vehicles within each cluster. We propose a multi-period synchronous rebalancing method in which a rebalancing period is divided into several sub-periods. Based on the anticipated redistribution demand at each node in each sub-period, the service vehicle relocates bicycles between nodes. This method improves the efficiency of the system and minimizes rebalancing costs over the entire rebalancing period, rather than for a single sub-period. The proposed framework is tested based on data from the Mobike (Meituan) free-floating bike-sharing system. The test results demonstrate the effectiveness of the proposed methodologies and show that multi-period synchronous rebalancing is superior to single-period rebalancing. Full article
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