Fig 1.
Research framework.
Fig 2.
Grid treatment of urban space.
Fig 3.
The calculation process of taxi travel demand.
Fig 4.
Spatial kernel density estimation.
Fig 5.
(a) Administrative divisions in the study area; (b) grid generation of the study area.
Table 1.
POI data structure.
Fig 6.
Data distribution of urban points of interest (POIs).
Table 2.
Classification of points of interest (POIs) in this study.
Table 3.
Taxi track data structure.
Fig 7.
The spatial distribution of 13 categories of POI data.
Fig 8.
The mixed degree of functions in the main urban area of Xi’an.
Fig 9.
Taxi demand distribution in the main urban area of Xi’an.
(a) Taxi demand average hourly from Monday to Friday; (b) taxi demand average hourly from Saturday to Sunday; (c) taxi demand per hour and per day.
Fig 10.
Spatial and temporal distribution characteristics of taxi travel demand on a single working day in the main urban area of Xi’an city.
(a) Morning peak; (b) noon peak; (c) evening peak; (d) overall peak.
Fig 11.
Spatial and temporal distribution characteristics of taxi travel demand on a single day off in the main urban area of Xi’an.
(a) Morning peak; (b) noon peak; (c) evening peak; (d) overall peak.
Table 4.
Comparison results of the OLS and the GWR model on weekdays.
Table 5.
Comparison results of the OLS and the GWR model on weekends.
Fig 12.
Spatial distribution of coefficient of the mixed degree of urban functions in different periods on weekdays.
(a) Morning peak; (b) noon peak; (c) evening peak; (d) overall peak.
Fig 13.
Spatial distribution of coefficient of the mixed degree of urban functions in different periods on weekends.
(a) Morning peak; (b) noon peak; (c) evening peak; (d) whole day.
Table 6.
Comparison results of the GWR model between urban POIs (13) and single tourist attraction POI on weekdays.
Table 7.
Comparison results of the GWR model between urban POIs (13) and single tourist attraction POI on weekends.
Table 8.
Results of the GWR model of urban POIs (12) on weekdays and weekends.