Abstract
Given the significance of technology to enhance public transit services and its potential for improving access to and the delivery of transportation services, this paper addresses strategic neighborhood mobility improvements to aid the transportation-disadvantaged. A spatial optimization model is presented to identify underserved areas for which transit can be better tailored to meet their mobility needs. The introduction of mobility-on-demand in the Cincinnati metropolitan area to augment and complement existing fixed-route transit is reported. The use of spatial analytics to support targeted neighborhood system design is detailed. The study illustrates how new mobility-on-demand services will substantially enhance travel options for the transport disadvantaged. Further, the use of spatial analytics offers insights for transit service plan development and implementation by more precisely targeting mobility needs in service area delineation and operationalization.
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