Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network Analysis
Over the past few decades, taxi drivers’ income has received extensive attention from scholars. Previous studies have investigated the factors affecting taxi drivers’ income from multiple perspectives. However, less attention has been paid to road network topology, which has a direct impact on taxis...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/9/464 |
| _version_ | 1797487561878274048 |
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| author | Changwei Yuan Jiannan Zhao Xinhua Mao Yaxin Duan Ningyuan Ma |
| author_facet | Changwei Yuan Jiannan Zhao Xinhua Mao Yaxin Duan Ningyuan Ma |
| author_sort | Changwei Yuan |
| collection | DOAJ |
| description | Over the past few decades, taxi drivers’ income has received extensive attention from scholars. Previous studies have investigated the factors affecting taxi drivers’ income from multiple perspectives. However, less attention has been paid to road network topology, which has a direct impact on taxis’ operation efficiency and drivers’ income. To fill this gap, this paper examines the relationship between taxi drivers’ income and urban road network topology; we employed various methods, namely, spatial design network analysis (sDNA), bivariate Moran’s I, and geographically weighted regression (GWR). The results show the following. (1) The total order income (TOI) of taxi drivers has a certain degree of positive spatial correlation with closeness and betweenness. (2) The impact of urban road network topology on the average order income (AOI) of taxi drivers is stable. Specifically, closeness and betweenness have significant impacts on the AOI of taxi drivers at the medium and larger scales. (3) Closeness has a negative impact on the AOI of taxi drivers, and betweenness has a positive impact on the AOI of taxi drivers. (4) Compared with betweenness, the impact of closeness on the AOI of taxi drivers is greater and more stable. These findings can provide useful reference values for the development of policies aimed at improving both taxi drivers’ income and urban road network efficiency. |
| first_indexed | 2024-03-09T23:49:27Z |
| format | Article |
| id | doaj.art-267fbd9bab6048a09909519d38d7fedb |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T23:49:27Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-267fbd9bab6048a09909519d38d7fedb2023-11-23T16:37:02ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-08-0111946410.3390/ijgi11090464Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network AnalysisChangwei Yuan0Jiannan Zhao1Xinhua Mao2Yaxin Duan3Ningyuan Ma4College of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaCollege of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaCollege of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaCollege of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaCollege of Transportation Engineering, Chang’an University, Xi’an 710064, ChinaOver the past few decades, taxi drivers’ income has received extensive attention from scholars. Previous studies have investigated the factors affecting taxi drivers’ income from multiple perspectives. However, less attention has been paid to road network topology, which has a direct impact on taxis’ operation efficiency and drivers’ income. To fill this gap, this paper examines the relationship between taxi drivers’ income and urban road network topology; we employed various methods, namely, spatial design network analysis (sDNA), bivariate Moran’s I, and geographically weighted regression (GWR). The results show the following. (1) The total order income (TOI) of taxi drivers has a certain degree of positive spatial correlation with closeness and betweenness. (2) The impact of urban road network topology on the average order income (AOI) of taxi drivers is stable. Specifically, closeness and betweenness have significant impacts on the AOI of taxi drivers at the medium and larger scales. (3) Closeness has a negative impact on the AOI of taxi drivers, and betweenness has a positive impact on the AOI of taxi drivers. (4) Compared with betweenness, the impact of closeness on the AOI of taxi drivers is greater and more stable. These findings can provide useful reference values for the development of policies aimed at improving both taxi drivers’ income and urban road network efficiency.https://www.mdpi.com/2220-9964/11/9/464taxi drivers’ incomeurban road network topologyspatial design network analysisbivariate Moran’s Igeographically weighted regression |
| spellingShingle | Changwei Yuan Jiannan Zhao Xinhua Mao Yaxin Duan Ningyuan Ma Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network Analysis ISPRS International Journal of Geo-Information taxi drivers’ income urban road network topology spatial design network analysis bivariate Moran’s I geographically weighted regression |
| title | Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network Analysis |
| title_full | Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network Analysis |
| title_fullStr | Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network Analysis |
| title_full_unstemmed | Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network Analysis |
| title_short | Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers’ Income: A Perspective from Spatial Design Network Analysis |
| title_sort | uncovering the relationship between urban road network topology and taxi drivers income a perspective from spatial design network analysis |
| topic | taxi drivers’ income urban road network topology spatial design network analysis bivariate Moran’s I geographically weighted regression |
| url | https://www.mdpi.com/2220-9964/11/9/464 |
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