Taxi vacancy duration is a major efficiency measure for taxi services. A clear understanding of the various factors and their effect on vacancy duration is necessary for the optimal operational management of taxis. Previous research has only dealt with vacancy duration by assuming probability distributions and has not investigated heterogeneity in the data caused by various factors. We develop a parametric duration model using not only new operational characteristics but also variables associated with taxi demand, such as weather, land use, demographics, socioeconomic variables, and accessibility of public transportation. The model is applied to a large-scale New York City (NYC) taxi trip dataset that covers operations for 2013. The results show that all the attributes have significant associations with vacancy duration that follows a log-normal distribution. Our study is expected to help improve the efficiency of taxi operations by decreasing the time spent in vacant states.
Bibliographical noteFunding Information:
This research?Geospatial Big Data Management, Analysis and Service Platform Technology Development?was supported by the Ministry of Land Infrastructure and Transport, under the national spatial information research program supervised by the Korean Agency for Infrastructure Technology Advancement (KAIA) (17NSIP-B081011-04).
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All Science Journal Classification (ASJC) codes
- Geography, Planning and Development