EVALUATION OF SPATIAL FAIRNESS OF URBAN PUBLIC TRANSPORT SERVICE:A CASE STUDY OF WUHAN CITY
Оценка пространственной справедливости городского общественного транспорта: пример города Ухань
2022-06-02
SCID: 54.1/3wqj49fk
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Moran's IWuhan case studypopulation density 1 km2 gridspatial equityurban public transport service
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Abstract (AI)
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.
Key Findings
1
Among Wuhan administrative districts, Huangpi District shows the worst spatial fairness and Dongxihu District shows the best, according to Moran’s I.
2
Central urban areas in Wuhan have higher levels of public transport service configuration than non-central urban areas.
3
Moran’s I analysis reveals significant spatial autocorrelation and differences in demand-supply spatial fairness across Wuhan at global and local scales.
4
Spatial equity of urban public transport is a key index for sustainable urban transport and can be evaluated using public transport network and 1 km² population density data.
5
Spatial-fairness-based evaluation can guide rapid optimization and upgrading of public transport systems to reduce service supply-demand inequity.
Research Object
Urban public transport service in Wuhan City
Research Subject
Spatial fairness/equity of public transport service supply and demand distribution across Wuhan (including district-level differences identified by Moran's I)
Publication Details
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2022-06-02
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