Journal ArticleDOI
Examining the influence of social norms on orderly parking behavior of dockless bike-sharing users
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Zhang et al. as discussed by the authors proposed an integrated model and recruited 1722 participants from diverse professions and geographic locations in China, examining the influence of individual and social environmental factors on orderly parking behavior.Abstract:
With the rapid global expansion of dockless shared bicycles, disorderly parking has not only generated convenience to users but also negative consequences to enterprises and urban management. We proposed an integrated model and recruited 1722 participants from diverse professions and geographic locations in China, examining the influence of individual and social environmental factors on orderly parking behavior. It was shown that descriptive social norms played an important role in shaping user’s attitudes toward orderly parking directly and indirectly via personal norms, and thus influence the behavioral intention of orderly parking. Cultural tightness-looseness further moderated the effect of descriptive social norms. At the individual level, antecedents of personal norms (moral awareness, awareness of consequences, and ascription of responsibility) were investigated based on Norm Activation Model. This study indicates that descriptive social norms can act as a complimentary policy and regulations of dockless bike-sharing, which provides valuable insights on urban operation and policy making concerning shared bicycles.read more
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Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai
TL;DR: The findings provide insights into the distance decay patterns of using DLBS in different urban contexts and their interactions with the built environment, which can support accurate planning and management of sustainable DLBS as per specific urban characteristics.
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Nonlinear effects of factors on dockless bike-sharing usage considering grid-based spatiotemporal heterogeneity
TL;DR: Wang et al. as mentioned in this paper investigated the riding behavior in the time and space dimensions based on multisource datasets, and compared the DBS usage based on the traffic grid between the two study areas.
Journal ArticleDOI
Predicting waste sorting intention of residents of Jiangsu Province, China
TL;DR: Wang et al. as discussed by the authors investigated the influencing factors accounting for the intention to sort household waste using Jiangsu province of China as a case and found that attitude and subjective norm cardinally influenced intention towards waste sorting.
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Modeling drivers’ scrambling behavior in China: An application of theory of planned behavior
TL;DR: Wang et al. as mentioned in this paper investigated the characteristics of drivers' scrambling behavior and its influencing factors based on the theory of planned behavior and found that positive attitudes towards scrambling behavior, subjective norms and perceived behavior control increased the intention of scrambling behavior.
References
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Journal ArticleDOI
Electric fence planning for dockless bike-sharing services
TL;DR: This paper proposes a methodological framework to support electric fence planning for dockless bike-sharing services and applies this framework in a case study of Shanghai using a big dataset of bike trips.
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A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
TL;DR: A novel deep reinforcement learning algorithm called Hierarchical Reinforcement Pricing (HRP) is developed, which builds upon the Deep Deterministic Policy Gradient algorithm and captures both spatial and temporal dependencies using a divide-and-conquer structure with an embedded localized module.
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Extending Models of Prosocial Behavior to Explain University Alumni Contributions1
William D. Diamond,Rajiv Kashyap +1 more
TL;DR: For instance, the authors found that the determinants of obligation to donate included perceived efficacy, perceived need, reciprocity, and individual attachment to the university, and other constructs explained the number of donations recorded in the development office database over 6 years.
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Free-Floating Bike Sharing in Jiangsu: Users’ Behaviors and Influencing Factors
TL;DR: Wang et al. as discussed by the authors explored the factors affecting users' behaviors in a free-floating bike sharing (FFBS) system in China, a survey was conducted in Jiangsu province, China in 2017, and the travel characteristics of FFBS users were analyzed.
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A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data
TL;DR: Comparative analysis shows that dockless bike- sharing systems have a shorter average travel distance and travel time, but a higher use frequency and hourly usage volume compared to docked bike-sharing systems, and geographically and temporally weighted regression models are built to examine the determinants of user demand over space and time.