Associations between Public Transit Usage and Bikesharing Behaviors in The United States
Associations between Public Transit Usage and Bikesharing Behaviors in The United States
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DOI：
10.3390/su10061868
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发表时间：
2018-06
期刊：
影响因子：
3.9
通讯作者：
Yuanyuan Zhang;Yuming Zhang
中科院分区：
文献类型：
--
作者：
Yuanyuan Zhang;Yuming Zhang
公共自行车共享系统在美国的许多城市迅速扩展。文献中的先前研究发现，一般来说，自行车共享与公共交通乘客量有关。然而，公共交通使用和自行车共享行为之间的相互依赖关系一直是混合的，并没有得到充分的理解。因此，本研究的目的是使用2017年全国家庭出行调查的数据，研究美国公共交通使用频率与自行车共享使用概率和频率之间的关联。受访者被问及在过去30天内使用公共交通和自行车共享的次数。零膨胀负二项回归模型进行了评估之间的关联公共交通使用的频率和自行车共享使用的概率和频率。结果表明，一般来说，公共交通使用频率每增加一个单位，共享单车使用概率就会增加4.0%，共享单车使用频率会增加1.4%。公共交通使用频率和自行车共享使用频率之间的显着正相关关系在人口密度较高或铁路服务的地区更为明显。实证结果表明，公共交通的使用与共享单车的使用显著正相关，并建议政策含义，改善公共交通的使用往往会增加共享单车的使用。这项研究还为制定干预措施和政策提供了重要的经验证据，这些措施和政策旨在促进支持多式联运和相互可持续的运输网络的综合运输系统。
Public bikesharing systems have rapidly expanded across many cities in the United States (US). Previous studies in the literature found that, in general, bikesharing is associated with public transit ridership. However, the interdependencies between public transit usage and bikesharing behaviors have been mixed and have not been fully understood. Therefore, the objective of this research is to examine the associations between the frequency of public transit usage and the probability and frequency of bikesharing usage in the US using data from the 2017 National Household Travel Survey. The respondents were asked how many times they had used public transit and bikesharing in the last 30 days. Zero-inflated negative binomial regression models were conducted to assess the associations between the frequency of public transit usage and the probability and frequency of bikesharing usage. The results show that, in general, a one-unit increase in the frequency of public transit usage is significantly associated with a 4.0% increase in the probability of bikesharing usage and a 1.4% increase in the frequency of bikesharing usage. The significantly positive relationship between the frequency of public transit usage and the frequency of bikesharing usage is more pronounced among those living in areas with higher population density or with rail service. The empirical results demonstrate that public transit usage is significantly positively associated with bikesharing usage, and suggest policy implications that improving public transit usage tends to increase the usage of bikesharing. This study also provides significant empirical evidence for the formulation of interventions and policies targeting to promote integrated transportation systems that support multimodal transportation and mutually sustainable transport networks.