Taxi vacancy duration

a regression analysis

Won Kyung Lee, So Young Sohn

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)771-795
Number of pages25
JournalTransportation Planning and Technology
Volume40
Issue number7
DOIs
Publication statusPublished - 2017 Oct 3

Fingerprint

taxis
Regression analysis
Vacancies
regression analysis
Normal distribution
efficiency
Land use
Probability distributions
public transportation
land use
accessibility
demand
weather
management

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Transportation

Cite this

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Taxi vacancy duration : a regression analysis. / Lee, Won Kyung; Sohn, So Young.

In: Transportation Planning and Technology, Vol. 40, No. 7, 03.10.2017, p. 771-795.

Research output: Contribution to journalArticle

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