Journal ArticleDOI
Quantifying economic benefits from free-floating bike-sharing systems : A trip-level inference approach and city-scale analysis
TLDR
An innovative trip-level inference approach is proposed for quantifying the economic benefits of FFBS, leveraging massive FFBS transaction data, the emerging multimodal routing Application Programming Interface from online navigators and travel choice modeling, and the relationships between economic benefits from FFBS and built environment factors in different urban contexts are quantitatively examined.Abstract:
Despite many qualitative discussions about the benefits of free-floating bike-sharing systems (FFBS), high-resolution and quantitative assessments about the economic benefits of FFBS for users are absent. This study proposes an innovative trip-level inference approach for quantifying the economic benefits of FFBS, leveraging massive FFBS transaction data, the emerging multimodal routing Application Programming Interface from online navigators and travel choice modeling. The proposed approach is able to analyze the economic benefit for every single bike-sharing trip and investigate the spatiotemporal heterogeneity in the economic benefits from FFBS. An empirical analysis in Shanghai is conducted using the proposed approach. The estimated saved travel time, cost, and economic benefit due to using FFBS per trip are estimated to be 9.95 min, 3.64 CNY, and 8.68 CNY-eq, respectively. The annual saved travel time, cost, and economic benefits from FFBS in Shanghai are estimated to be 17.665 billion min, 6.463 billion CNY, and 15.410 billion CNY-eq, respectively. The relationships between economic benefits from FFBS and built environment factors in different urban contexts are quantitatively examined using Multiple Linear Regression to explain the spatial heterogeneity in the economic benefits of FFBS. The outcomes provide a useful tool for evaluating the benefits of shared mobility systems, insights into the users’ economic benefit from using FFBS from per-trip, aggregated and spatial perspective, as well as its influencing factors. The results could efficiently support the scientific planning, operation and policy making concerning FFBS in different urban contexts.read more
Citations
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Journal ArticleDOI
Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption
TL;DR: Results show that reasonable idle times can be generated by optimizing the scheduling plan, and it is helpful to stop the accumulation of stochastic volatilities.
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Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior
TL;DR: The proposed approach for modeling travel behavior under uncertainty coupling Cumulative Prospect Theory (CPT) with Multi-attribute Decision Making (MADM) theory outperforms conventional methods in terms of model performances and behavioral revelations and demonstrates that sensitivity to gains and losses in cost and travel time are divergent in mode shift behavior.
Journal ArticleDOI
High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data
TL;DR: A distinctive framework for assessing the environmental influences ofDLBS in high resolution based on DLBS transaction data is put forward and the empirical results reveal that the substitution rates of DLBS to different transport modes have substantial spatiotemporal variances and depend strongly on travel contexts, highlighting the necessity of analyzing the environmental impacts of DL BS at the trip level.
Journal ArticleDOI
Efficient transport pricing–why, what, and when?
TL;DR: In this article, the authors summarized why transport pricing is needed, lessons learnt from practical experience, and what the main obstacles are for efficient transport pricing, concluding that the two most important obstacles seem to be political power struggles between different levels of governments, and that even if total social gains vastly exceed total social losses, the losses tend to be more salient.
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Comprehensive comparison of e-scooter sharing mobility: Evidence from 30 European cities
TL;DR: Wang et al. as discussed by the authors conducted a comparative study to reveal the similarity and difference of e-scooter sharing mobility by collecting and analyzing vehicle availability data from 30 European cities during post COVID-19 pandemic.
References
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Moshe Ben-Akiva,Steven R. Lerman +1 more
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