Detroit, MI
Leveraging AI-assist Microtransit to Ameliorate Spatiotemporal Mismatch between Housing and Employment
Organization: Wayne State University
Primary Investigator: Dongxiao Zhu
Research Track: Resource and Service Equity
More than 50 years after the concept of spatial mismatch was formalized, Detroit’s low-wage workers are still more likely to suffer from spatial-temporal jobs-housing mismatch. To increase regional transit accessibility to employment and directly address the problem of jobs-housing mismatch, we collaborate with civic and community partners to develop Artificial Intelligence-driven mobility solutions that can support the design and operations of more reliable and effective regional Microtransit services. Link to abstract on nsf.gov