Abstract
ABSTRACT E-hailing services have disrupted how, when, and where people travel in cities. This paper characterizes the attributes of the supply of e-hailing markets that is reflective of the labor characteristics of the drivers (contractors). Based on a clustering analysis of the observed behavior of an e-hailing company’s drivers over a month, the analysis identifies three major groups of drivers: (i) part-time drivers working flexible hours, (ii) part-time drivers working in the evenings, and (iii) full-time drivers. The clustering results of the e-hailing market supply is verified to have consistent characteristics over different days. The results of the clustering method are demonstrated to be effective for prediction of supply.
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