基于出行微数据研究微交通使用和拼车的决定因素

IF 6.3 2区 工程技术 Q1 ECONOMICS
Subid Ghimire, Eleni Bardaka
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引用次数: 0

摘要

微交通是一种技术驱动的公共交通服务,可满足按需出行需求,并根据实时始发目的地模式动态调整路线。它提供灵活的上下车地点,并在智能手机应用程序中包含行程安排和费用支付。尽管近年来北美的许多司法管辖区已经启动了微交通试点,但由于缺乏实证研究,我们对这些系统的理解仍然有限。本研究确定了一种方法框架,以调查基于出行微数据的社区社会人口、建筑环境和其他与公共微交通使用相关的空间和时间属性。由于微交通需求趋于稀疏,导致因变量存在多余的零,因此选择障碍负二项模型作为在小时空分辨率下解释微交通乘客上下车的合适方法。本研究还对公共微交通中影响拼车的因素进行了实证研究。虽然微型交通工具是为同时服务多名乘客而设计的,但实际上,微型交通出行的很大一部分是单乘客。一个二元logit模型估计,以确定如何系统级和本地微交通需求,行程特征,和建成环境有助于微交通出行与另一个预订共享的可能性。北卡罗莱纳州客流量最高的微型交通系统运行在威尔逊市——一个拥有大量依赖公交的人口的社区——作为我们的经验例子。我们的研究结果表明,低收入、无车、非裔美国人和年轻人口的社区对微型交通的需求更大。我们还发现,更多的女性人口与更多的微交通出行有关,这可能是因为女性持有驾照或拥有私家车的可能性较小,尤其是在缺乏车辆的家庭。平均而言,当长途旅行和服务需求高时,拼车的可能性会增加,但对于需要轮椅辅助车辆的旅行,拼车的可能性会降低。城市地区和当地的就业和商业中心与更多的旅行以及更高的拼车可能性有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining the determinants of microtransit use and ridesharing based on trip microdata
Microtransit is a technology-driven public transportation service that accommodates on-demand trip requests and dynamically adjusts its routing based on real-time origin–destination patterns. It provides shared rides with flexible pick-up and drop-off locations and incorporates trip scheduling and fare payment in a smartphone application. Although many jurisdictions in North America have initiated microtransit pilots in recent years, our understanding of these systems remains limited due to the lack of empirical research. This study identifies a methodological framework to investigate the neighborhood sociodemographic, built environment, and other spatial and temporal attributes associated with higher public microtransit use based on trip microdata. As microtransit demand tends to be sparse, resulting in excess zeros in the dependent variable, hurdle negative binomial models are selected as a suitable approach for explaining microtransit passenger pick-ups and drop-offs at a small spatiotemporal resolution. This research also empirically explores the factors significantly influencing ridesharing in public microtransit. Although microtransit vehicles are designed to serve multiple passengers simultaneously, a substantial portion of microtransit trips is single-passenger in practice. A binary logit model is estimated to identify how system-level and local microtransit demand, trip characteristics, and the built environment contribute to the probability of a microtransit trip being shared with another booking. The microtransit system with the highest ridership in North Carolina, operating in the City of Wilson—a community with a large transit-dependent population—serves as our empirical example. Our findings indicate that neighborhoods with lower-income, carless, African American, and younger populations generate greater demand for microtransit. We also find that a larger female population is associated with more microtransit trips, potentially because women are less likely to have a driver’s license or access to personal vehicles, especially in vehicle-deficit households. On average, the likelihood of ridesharing increases for longer trips and when the service experiences high demand but decreases for trips that require a wheelchair-accessible vehicle. Urban areas and local employment and commercial centers are associated with more trips as well as a higher probability of ridesharing.
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来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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