| In recent years,online car-hailing has entered people’s life as a new way of public transportation.It not only complements the shortcomings of the existing public transportation system,such as poor flexibility,lack of personalization and differentiation,but also brings convenience and better experience to people’s travel.However,as a new way of travel,it is still in the primary stage of development,lack of corresponding theoretical guidance and reasonable planning,which will not only be conducive to its own development,but also affect the development of the entire public transport system.Therefore,it is important and necessary to study the related problems of network car-hailing.In this thesis,the research object is the spatial and temporal heterogeneity of the demand and its influencing factors of the online car-hailing,and this thesis establishes a model based on GTWR for regression analysis.(1)The data of population,economy,traffic and online car-hailing orders collected are processed.According to the principle of traffic area division,Shanghai is divided into 48 traffic areas.Then,the demand of each traffic area of online car-hailing in each period of each day is taken as the dependent variable,and the multiple collinearity test is carried out for each influencing factor,and finally the bus station density,subway station density are selected Road network density,average house price and population density as explanatory variables.(2)The thesis makes a spatial autocorrelation analysis on the demand of online car-hailing,and draws a conclusion that it has a significant spatial positive correlation feature.Then,based on OLS,GWR and GTWR,the thesis establishes an analysis model of the influencing factors of online car-hailing demand and makes a comparative test.It is found that the model based on GTWR has the best fitting effect on this study.Then,the regression analysis was carried out with the selected model,and the regression results were described statistically.(3)According to the regression results,the thesis analyzes the spatial and temporal heterogeneity of the influence factors on the demand of network car-hailing,and draws the conclusion that the density of subway stations and the average house price play a positive role in promoting the demand of online car-hailing,the population density plays a negative role in restraining the demand of online car-hailing,and the density of bus stations and the road network have both positive and negative effects on the demand of online car-Hailing.The research results of this thesis can lay a certain foundation for the research of the demand and influencing factors of the network car-hailing,and also provide theoretical support for the development strategy of the online car-hailing company. |
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