The reverse commuting population, those who travel from residences in the city to workplaces in the suburbs, are largely underserved by existing transit systems. One contributing factor to this limited service are issues in existing transit planning methods; serving the reverse commute with transit requires new methods and data sources that complement decision making based on ridership and revealed demand. We utilize administrative origin–destination data from the Philadelphia area that measures commuter flows across all travel modes, rather than just those who already use transit, to capture the potential demand for reverse commuting transit service. We develop an index to highlight target areas for new services, describe geographies for intervention, and utilize negative binomial regression models to analyze key covariates of the reverse commute. Our approach advances a new methodological framework that employs spatially-oriented analyses and open data and tools to generate actionable insights to better serve reverse commuters.

反向通勤人群，即从城市住宅到郊区工作场所的人群，在很大程度上缺乏现有交通系统的服务。造成这种有限服务的一个因素是现有交通规划方法中的问题；为反向通勤提供公交服务需要新的方法和数据源，以补充基于乘客量和显示需求的决策。我们利用费城地区的行政始发地-目的地数据来衡量所有出行方式的通勤流量，而不仅仅是那些已经使用公交的人，来捕捉对反向通勤公交服务的潜在需求。我们开发了一个索引来突出新服务的目标区域，描述干预的地理区域，并利用负二项式回归模型来分析反向通勤的关键协变量。