您的旅行可共享程度如何?基于路径的搭乘旅行可共享性分析

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES Computers Environment and Urban Systems Pub Date : 2024-04-29 DOI:10.1016/j.compenvurbsys.2024.102120
Guan Huang , Zhan Zhao , A.G.O. Yeh
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引用次数: 0

摘要

作为一种新兴的可持续交通解决方案,分乘服务将方向相近的乘客与单一车辆进行匹配,以减少车队规模、车辆行驶公里数和交通排放。然而,这些好处只有在乘客之间成功匹配(共享)的情况下才能实现,这就强调了全面了解匹配成功率(即共享性)的重要性。尽管对可共享性的决定因素进行了广泛研究,但现有文献要么依赖于经验验证有限的模拟和理论模型,要么侧重于整个市场的系统级可共享性,忽视了不同行程之间可共享性的显著时空变异性。本研究旨在填补这些空白,提出一种基于路径的模型,利用现实世界的搭乘分流数据,以更精细的时空粒度量化共享性的决定因素。利用纽约市的数据,我们的研究结果表明(1) 共享性具有时空异质性;(2) 高需求强度,尤其是中短途出行强度,有助于提高共享性;(3) 需求强度的积极贡献随着需求强度的增加而减小;(4) 较高的道路速度可提高共享性;(5) 过多的单行道和过于密集的街道网络与低共享性有关。这些研究结果验证并丰富了之前的研究结果,可用于指导分乘服务的未来发展。
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How shareable is your trip? A path-based analysis of ridesplitting trip shareability

As an emerging sustainable mobility solution, ridesplitting services match passengers in a similar direction with a single vehicle to reduce fleet size, vehicle kilometers traveled and traffic emissions. However, these benefits can only be achieved with successful matching (sharing) between passengers, which emphasizes the importance of a comprehensive understanding of the matching success rate, i.e., shareability. Despite extensive research into the determinants of shareability, existing literature either relies on simulations and theoretical models with limited empirical validation, or focuses on system-level shareability for the whole market, overlooking the significant spatiotemporal variability of shareability across trips. This study aims to fill these gaps by proposing a path-based model that leverages real-world ridesplitting data to quantify the determinants of shareability at a finer spatiotemporal granularity. Utilizing data from New York City, our results show that: (1) shareability is spatiotemporally heterogeneous; (2) high demand intensity, especially the intensity of medium−/short-distance trips, contributes to greater shareability; (3) the positive contribution of demand intensity diminishes as it increases; (4) a higher road speed improves shareability; (5) excessive one-way street and over-dense street network are related to low shareability. These findings validate and enrich prior findings, which can be used to inform the future development of ridesplitting services.

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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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