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Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums

机译:量化共享自动化车辆移动服务的就业辅助效益:使用Logsums的消费者福利方法

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The goal of this study is to assess and quantify the potential employment accessibility benefits of shared-use automated vehicle (AV) mobility service (SAMS) modes across a large diverse metropolitan region considering heterogeneity in the working population. To meet this goal, this study proposes employing a welfare-based (i.e. logsum-based) measure of accessibility, obtained via estimating a hierarchical work destination-commute mode choice model. The employment accessibility logsum measure incorporates the spatial distribution of worker residences and employment opportunities, the attributes of the available commute modes, and the characteristics of individual workers. The study further captures heterogeneity of workers using a latent class analysis (LCA) approach to account for different worker clusters valuing different types of employment opportunities differently, in which the socio-demographic characteristics of workers are the LCA model inputs. The accessibility analysis results in Southern California indicate: (i) the accessibility benefit differences across latent classes are modest but young workers and lowincome workers do see higher benefits than high- and middle-income workers; (ii) there are substantial spatial differences in accessibility benefits with workers living in lower density areas benefiting more than workers living in high-density areas; (iii) nearly all the accessibility benefits come from the SAMS-only mode as opposed to the SAMS+Transit mode; and (iv) the SAMS cost per mile assumption significantly impacts the magnitude of the overall employment accessibility benefits.
机译:本研究的目标是评估和量化共享使用自动化车辆(AV)移动服务(SAMS)模式的潜在就业可访问性效益,考虑到工作人群的异质性。为满足这一目标,本研究提出了通过估计分层工作目的地 - 通勤模式选择模型获得的基于福利(即基于Logsum的)可访问性的量度。就业可访问性Logsum措施包括工人住所和就业机会的空间分布,可用通勤模式的属性以及个别工人的特征。该研究进一步利用潜在的阶级分析(LCA)方法来捕获工人的异质性,以考虑不同的工人集群,以不同的方式有用不同类型的就业机会,其中工人的社会人口统计特征是LCA模型输入。南加州的可访问性分析结果表明:(i)潜在课程的无障碍效益差异是适度的,但年轻的工人和伦米特工作人员看到比高中和中等收入工人更高的好处; (ii)居住在较低密度区域的工人有可行性福利存在大量空间差异,这些效益受益于生活在高密度区域的工人的较低; (iii)几乎所有的可访问性效益来自SAMS模式,而不是SAMS + Transit模式; (iv)每英里的Sams成本假设显着影响整体就业可访问性福利的程度。

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