City-Scalable Destination Recommender System for On-Demand Senior Mobility
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2018-08-01
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Abstract:Mobility-on-demand (MOD) services—rideshare, car- and bike-share, e-hail taxis, microtransit, and more—have been on the rise due to advances in information and communications technologies (ICTs). In this project, the authors set out to accomplish three objectives: (1) Better understand the mobility needs of the elderly across different cities. This is accomplished via a joint survey conducted with collaborators from the University of Texas, El Paso (UTEP), on elderly living in El Paso, Texas, and in New York, New York; (2) Implement a proof-of-concept of a recommender system that can be readily adapted to MOD services, one that considers routing constraints; and (3) Conduct computational experiments with the proof of concept to demonstrate the existence of the effect that adding spatial constraints has on the performance of a recommender system. Based on these computational experiments, the authors draw new guidelines for expanding this research for MOD service providers using publicly available data.
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