Research Article

Exploring Built Environment Influence on Taxi Vacant Time in Megacities: A Case Study of Chongqing, China

Table 1

Descriptive statistics of the variables.

VariablesDescriptionMinMedianMeanMaxStd. Dev.

TVTTaxi vacant time of grids (min)0.257.7553.533397.50120.98
DSRRoad density of grids (km/km2)06.527.0922.014.04
BSNNumber of bus stops in grids022.35162.44
METPresence of metro stations within grids000.1210.33
TFSAverage traffic flow speed (km/h)025.4231.36120.0022.58
LONLongitude of the center of grids106.30106.50106.50107.000.11
LATLatitude of the center of grids29.1329.5829.5830.100.12
PMTPOI mixture00.850.731.000.32
CATNumber of catering service POIs0217.7849843.38
SNSNumber of scenic spot POIs001.20573.58
ENTNumber of enterprise POIs037.7122316.65
SHPNumber of shopping service POIs0537.161368102.19
FAINumber of finance and insurance service POIs003.141117.94
SAENumber of scientific, culture, and education POIs027.9714916.18
MVSNumber of motor vehicle service POIs013.7831912.21
LFSNumber of living service POIs0318.8852742.10
SLENumber of sports and leisure service POIs016.9219115.64
HCSNumber of healthcare service POIs018.4115815.89
GOVNumber of governmental agency POIs027.3218114.71
HTSNumber of hotel service POIs003.8923012.68
MLBNumber of multiple-living building POIs001.03433.41
RESNumber of residence community POIs026.33889.31