犯罪和社区环境如何影响公交客流量?证据来自德克萨斯三角的五个大城市

IF 3.8 Q2 TRANSPORTATION Transportation Research Interdisciplinary Perspectives Pub Date : 2025-01-01 Epub Date: 2024-12-21 DOI:10.1016/j.trip.2024.101311
Qian He , Jianling Li
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引用次数: 0

摘要

公共交通客流量是评估公共交通服务绩效的一个重要因素,也是美国公共交通管理部门的重要收入来源。除了内部服务特征(如平均车道和服务频率)外,公共交通邻近地区的社区环境背景已被证明在许多方面影响乘客,社区犯罪是一个主要问题。虽然文献认识到犯罪对交通客流量的负面影响,然而,社区环境和交通服务质量在影响客流量方面的作用却很少被考虑。现有的经验证据主要集中在一个地理区域。利用2018年德克萨斯三角地区(奥斯汀、达拉斯、沃斯堡、休斯顿和圣安东尼奥)五个大都市的公交机构的停靠级公交客流量和服务特征数据,我们发现,尽管犯罪率与客流量呈负相关,但基于负二项回归模型的结果,更好的公交服务特征(如更高的服务频率和更短的平均车头距)与更高的客流量相关。我们还发现,在其他条件不变的情况下,具有更大人口密度、更大就业密度和就业熵以及更好的步行性的混合用途开发与工作日更高的公交客流量相关。我们的研究结果还表明,具有挑战性社会经济地位(以低收入家庭、公共援助家庭和失业状况衡量)的街区群体与更高的公交客流量相关。本研究的结果有助于制定交通运输机构可持续财政健康的战略。增加公交客流量的努力应考虑车站周边社区的建成环境和社会环境特征,而不仅仅是服务特征的改善。
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How do crime and neighborhood environment affect transit ridership? Evidence from five metropolitan cities in the Texas Triangle
Transit ridership is an important factor in evaluating transit service performance and an essential source of revenue for transit authorities in the United States. Alongside internal service characteristics such as average headways and service frequency, the neighborhood environment context of transit-adjacent areas has been shown to affect ridership in many ways, with neighborhood crime being a major concern. Although literature recognizes the negative impact of crime on transit ridership, however, the roles of the neighborhood environment and the quality of transit service in affecting ridership have been less considered. Existing empirical evidence has been focused on a single geographical region. Using stop-level transit ridership and service characteristics data from transit agencies in five metropolitan areas in the Texas Triangle (Austin, Dallas, Fort Worth, Houston, and San Antonio) in 2018, we find that although the crime rate is negatively associated with ridership, better transit service characteristics such as higher service frequency and shorter average headway are associated with higher ridership, based on results of the negative binomial regression model. We also find that mixed-use development with greater population density, greater employment density, and employment entropy, as well as better walkability, are associated with higher transit ridership during workdays, holding all else constant. Our findings also show that block groups with challenging socioeconomic status (measured by households of lower income, households with public assistance, and unemployment status), are associated with higher transit ridership. Findings from this study contribute to strategies for sustainable fiscal health of transit agencies. Efforts to increase transit ridership should consider the built environment and social environment characteristics of the station-adjacent communities beyond service characteristics improvement.
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来源期刊
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Engineering-Automotive Engineering
CiteScore
12.90
自引率
0.00%
发文量
185
审稿时长
22 weeks
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