当前位置: X-MOL 学术Journal of Transport and Land Use › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
What the heck is a choice rider? A theoretical framework and empirical model
Journal of Transport and Land Use ( IF 2.739 ) Pub Date : 2022-02-25 , DOI: 10.5198/jtlu.2022.2096
Erick Guerra

As local, state, and federal agencies began investing substantial resources into subsidizing transit in the 1960s and ‘70s, public documents argued that transit agencies should focus on attracting choice riders instead of dependent riders, who have no alternatives and use transit regardless of service quality. After six decades, the definitions, uses, and implications of the terms choice and dependent rider have remained consistent in the academic and professional literature. These definitions, however, lack a strong theoretical grounding or empirical evidence to support them. Using travel diary data from the Philadelphia region, I estimate discrete choice models to identify choice riders, who I define as those who have close to a 50% probability of choosing between a car or transit for a given trip. The Philadelphia region, which has a diverse range of transit users and transit services, is an ideal place to develop and fit an empirical model of choice ridership. Attributes assumed to be associated with dependent riders, such as lack of a car, low income, and being a racial or ethnic minority, are much more prevalent among choice riders than the general metropolitan population. Choice riders are also diverse, with a mix of racial backgrounds, income levels, educational attainment, and access to private cars. Transit dependency, by contrast, is rare. The lowest and highest income residents generally only choose transit when service quality is high, and transit is cost and time competitive with the car.

中文翻译:

什么是选择骑手?理论框架和经验模型

随着地方、州和联邦机构在 1960 年代和 70 年代开始投入大量资源来补贴公交,公共文件认为,公交机构应该专注于吸引选择乘客而不是依赖乘客,他们别无选择,无论服务质量如何都使用公交. 六年后,术语选择和依赖骑手的定义、使用和含义在学术和专业文献中保持一致。然而,这些定义缺乏强有力的理论基础或经验证据来支持它们。使用来自费城地区的旅行日记数据,我估计离散选择模型来识别选择骑手,我将他们定义为在给定旅行中选择汽车或公共交通工具的概率接近 50% 的人。费城地区,它拥有多样化的公交用户和公交服务,是开发和拟合选择乘车经验模型的理想场所。假设与依赖骑手相关的属性,例如缺乏汽车、低收入以及种族或少数民族,在选择骑手中比一般大都市人口更为普遍。选择骑手也很多样化,他们有不同的种族背景、收入水平、教育程度和私家车的使用权。相比之下,过境依赖很少见。最低和最高收入的居民一般只有在服务质量高的情况下才会选择公交,而且公交在成本和时间上与汽车相比具有竞争力。假设与依赖骑手相关的属性,例如缺乏汽车、低收入以及种族或少数民族,在选择骑手中比一般大都市人口更为普遍。选择骑手也很多样化,他们有不同的种族背景、收入水平、教育程度和私家车的使用权。相比之下,过境依赖很少见。最低和最高收入的居民一般只有在服务质量高的情况下才会选择公交,而且公交在成本和时间上与汽车相比具有竞争力。假设与依赖骑手相关的属性,例如缺乏汽车、低收入以及种族或少数民族,在选择骑手中比一般大都市人口更为普遍。选择骑手也很多样化,他们有不同的种族背景、收入水平、教育程度和私家车的使用权。相比之下,过境依赖很少见。最低和最高收入的居民一般只有在服务质量高的情况下才会选择公交,而且公交在成本和时间上与汽车相比具有竞争力。相比之下,过境依赖很少见。最低和最高收入的居民一般只有在服务质量高的情况下才会选择公交,而且公交在成本和时间上与汽车相比具有竞争力。相比之下,过境依赖很少见。最低和最高收入的居民一般只有在服务质量高的情况下才会选择公交,而且公交在成本和时间上与汽车相比具有竞争力。
更新日期:2022-02-25
down
wechat
bug