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 language | English |
|---|---|
| Pages (from-to) | 771-795 |
| Number of pages | 25 |
| Journal | Transportation Planning and Technology |
| Volume | 40 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2017 Oct 3 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Geography, Planning and Development
- Transportation
Cite this
}
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 journal › Article
TY - JOUR
T1 - Taxi vacancy duration
T2 - a regression analysis
AU - Lee, Won Kyung
AU - Sohn, So Young
PY - 2017/10/3
Y1 - 2017/10/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85020490498&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020490498&partnerID=8YFLogxK
U2 - 10.1080/03081060.2017.1340025
DO - 10.1080/03081060.2017.1340025
M3 - Article
VL - 40
SP - 771
EP - 795
JO - Transportation Planning and Technology
JF - Transportation Planning and Technology
SN - 0308-1060
IS - 7
ER -