Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai

Ye, Zhirui; Li, Aoyong; Hua, Mingzhuang; Zhu, He

doi:10.1016/j.tranpol.2022.10.004

Cited by 13 publications

(3 citation statements)

References 58 publications

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“…Bike-sharing use is defined as the number of bike-sharing origins on weekends in each grid. Similar to studies examining environmental effects on bike-sharing use [ 10 23 ], a 500 × 500 m grid was selected as the analysis unit to allocate each trip, primarily because the size of the grids selected was usually considered to be the main activity space in Chinese neighborhoods [ 21 24 ]. Table S1 in Multimedia Appendix 1 presents the summary statistics of bike-sharing use, streetscape perceptions, and macroscale built environments.…”

Section: Methodsmentioning

confidence: 99%

Moderation Effects of Streetscape Perceptions on the Associations Between Accessibility, Land Use Mix, and Bike-Sharing Use: Cross-Sectional Study

Guo,

Zhang,

Xie

et al. 2024

JMIR Public Health Surveill

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Background Cycling is known to be beneficial for human health. Studies have suggested significant associations of physical activity with macroscale built environments and streetscapes. However, whether good streetscapes can amplify the benefits of a favorable built environment on physical activity remains unknown. Objective This study examines whether streetscape perceptions can modify the associations between accessibility, land use mix, and bike-sharing use. Methods This cross-sectional study used data from 18,019,266 bike-sharing orders during weekends in Shanghai, China. A 500 × 500 m grid was selected as the analysis unit to allocate data. Bike-sharing use was defined as the number of bike-sharing origins. Street view images and a human-machine adversarial scoring framework were combined to evaluate lively, safety, and wealthy perceptions. Negative binomial regression was developed to examine the independent effects of the three perceptual factors in both the univariate model and fully adjusted model, controlling for population density, average building height, distance to nearest transit, number of bus stations, number of points of interest, distance to the nearest park, and distance to the central business district. The moderation effect was then investigated through the interaction term between streetscape perception and accessibility and land use mix, based on the fully adjusted model. We also tested whether the findings of streetscape moderation effects are robust when examinations are performed at different geographic scales, using a small-sample statistics approach and different operationalizations of land use mix and accessibility. Results High levels of lively, safety, and wealthy perceptions were correlated with more bike-sharing activities. There were negative effects for the interactions between the land use Herfindahl-Hirschman index with the lively perception (β=–0.63; P =.01) and safety perception (β=–0.52; P =.001). The interaction between the lively perception and road intersection density was positively associated with the number of bike-sharing uses (β=0.43; P =.08). Among these, the lively perception showed the greatest independent effect (β=1.29; P <.001), followed by the safety perception (β=1.22; P =.001) and wealthy perception (β=0.72; P =.001). The findings were robust in the three sensitivity analyses. Conclusions A safer and livelier streetscape can enhance the benefits of land use mix in promoting bike-sharing use, with a safer streetscape also intensifying the effect of accessibility. Interventions focused on streetscape perceptions can encourage cycling behavior and enhance the benefits of accessibility and land use mix. This study also contributes to the literature on ...

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Section: Methodsmentioning

confidence: 99%

Moderation Effects of Streetscape Perceptions on the Associations Between Accessibility, Land Use Mix, and Bike-Sharing Use: Cross-Sectional Study

Guo,

Zhang,

Xie

et al. 2024

JMIR Public Health Surveill

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“…Li et al adopted OLS and GWR models to quantify the relationship between stop duration and explanatory variables, including three new features, namely, the proportion of overlapping area between the influence area of transit stations and the corresponding sub-region, and the average flow of subway stations [51]. Bi et al studied the varying influences of the built environment on bike-sharing commuting and found that bike-sharing commute trips tend to be more consistent and frequent with the help of the metro service [52].…”

Section: Impact Factors Of Dbs Usementioning

confidence: 99%

Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data

Zhang,

Cui,

Liu

et al. 2024

IJGI

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Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS–metro trips. Then, DBS trip data, metro passenger data, socioeconomic data, and built environment data in Shanghai are used to analyze the spatiotemporal characteristics of integrated trips and the correlations between the integrated trips and the explanatory variables. Next, multicollinearity tests and autocorrelation tests are conducted to select the best explanatory variables. Finally, a geographically and temporally weighted regression (GTWR) model is adopted to examine the determinants of integrated trips over space and time. The results show that the integrated trips account for 16.8% of total DBS trips and that departure-transfer trips are greater than arrival-transfer trips. Moreover, the integrated trips are concentrated in the central area of the city. In terms of impact factors, it is found that GDP, government count, and restaurant count are negatively correlated with the number of integrated trips, while house price, entropy of land use, transfer accessibility index, and metro passenger flow show positive relationships. In addition, the results show that the GTWR model outperforms the OLS model and the GWR model.

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“…Similarly, the demand-supply ratio in the bike-sharing system was analyzed in Washington DC [26]. Regarding DBS systems, the majority of studies have focused on pattern analysis [27,28], demand prediction [29], and rebalancing strategies [30]. Unbalanced usage of free-floating bike sharing in connection with metro stations was first explored in [31].…”

Section: Imbalance Of Bike-sharing Systemmentioning

confidence: 99%

Nonlinear Influence and Interaction Effect on the Imbalance of Metro-Oriented Dockless Bike-Sharing System

Song,

Luo,

Shi

et al. 2023

Sustainability

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Dockless Bike-Sharing (DBS) is an eco-friendly, convenient, and popular form of ride-sharing. Metro-oriented DBS systems have the potential to promote sustainable transportation. However, the availability of DBS near metro stations often suffers from either scarcity or overabundance. To investigate the factors contributing to this imbalance, this paper examines the nonlinear influences and interactions that impact the DBS system near metro stations, with Shenzhen, China serving as a case study. An ensemble learning approach is employed to predict the imbalance state. Then, the machine learning interpretation method (i.e., SHapley Additive exPlanations) is used to quantify the contribution of effects, discover the strength of interactions between factors and uncover their underlying interactive connections. The results indicate the influence of external factors and the relations between pairwise variables (e.g., road density and the day of the week) for each imbalanced state. Provide two quantized sets of factors that can result in the supply-demand imbalance and support future transport planning decisions to enhance the accessibility and sustainability of Metro-oriented DBS systems.

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Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai

Cited by 13 publications

References 58 publications

Moderation Effects of Streetscape Perceptions on the Associations Between Accessibility, Land Use Mix, and Bike-Sharing Use: Cross-Sectional Study

Moderation Effects of Streetscape Perceptions on the Associations Between Accessibility, Land Use Mix, and Bike-Sharing Use: Cross-Sectional Study

Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data

Nonlinear Influence and Interaction Effect on the Imbalance of Metro-Oriented Dockless Bike-Sharing System

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