City-Scalable Destination Recommender System for On-Demand Senior Mobility

Details

• Creators:
  Chow, Joseph Y J ; Dmitriyeva, Assel ; Fay, Daniel
• Corporate Creators:
  Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART) ; New York University. Tandon School of Engineering
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Aged
  • Algorithms
  • Cities
  • Demand responsive transportation
  • Mobility
  • Prototypes
  • Recommendations
  • Routes and routing
  • Surveys
• Resource Type:
  Tech Report
• Geographical Coverage:
  New York ; Texas ; United States
• Corporate Publisher:
  Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
• 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.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/61455/dot_61455_DS1.pdf
• File Type:
  [PDF - 2.41 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha256:f5d78b04ea1ef5c2de19c28ef8338b2739cf4793e42d592d2e4e4bf997141a1b