The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 579–585, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-579-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 579–585, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-579-2022
 
02 Jun 2022
02 Jun 2022

EVALUATION OF SPATIAL FAIRNESS OF URBAN PUBLIC TRANSPORT SERVICE:A CASE STUDY OF WUHAN CITY

L. Zhang1,2, Y. Yang1,2, Q. Cheng3, M. Luo3, X. Zhang3, and Y. Wang1,2 L. Zhang et al.
  • 1College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • 2Key Laboratory of 3Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
  • 3Wuhan Geomatics Institute, Wuhan 430022, China

Keywords: Wuhan City, Moran’s I, Fairness, Public Transport, Population Density, Transportation System Optimization

Abstract. Spatial equity of urban public transport service is an important index to evaluate the potential of sustainable development of urban transport. This paper, taking Wuhan as the study area, the use of public transport network data and population density of 1 km2 grid data, using Moran’s I reveals research area spatial correlation between different variables and the significance, in order to under different scales of whole and local area in Wuhan city public traffic service demand and supply of the current situation and problems of space fairness is analyzed. The research shows that there are significant differences in spatial fairness of public transport service in Wuhan, and the service configuration level of central urban areas is higher than that of non-central urban areas. According to the Moran’s I, Huangpi District was the worst administrative district in spatial fairness, and Dongxihu District was the best administrative district. The evaluation based on spatial fairness can help to realize the rapid optimization of public transport service system, improve the spatial inequity of service supply and demand, and provide scientific basis for the optimization and upgrading of public transport system.