Measuring positive public transit accessibility using big transit data

作     者：Tong Zhang Wenyuan Zhang Zhenxuan He Tong Zhang;Wenyuan Zhang;Zhenxuan He

作者机构：State Key Laboratory of Information Engineering in SurveyingMapping and Remote SensingWuhan UniversityWuhanChina Department of Computer Science and EngineeringNew York UniversityNew YorkNYUSA 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2021年第24卷第4期

页      面：722-741页

核心收录：

学科分类：081603[工学-地图制图学与地理信息工程] 081802[工学-地球探测与信息技术] 07[理学] 08[工学] 070503[理学-地图学与地理信息系统] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0816[工学-测绘科学与技术] 

基　　金：This work was supported by the National Natural Science Foundation of China[grant number 41871308] the National Key R&D Program of China(International Scientific&Technological Cooperation Program)[grant number 2019YFE0106500] the Fundamental Research Funds for the Central Universities 

主　　题：Public transit positive accessibility smart card data spatio-temporal 

摘      要：Most of the current existing accessibility measures quantify the potential of reaching desirable opportunities across space and ***,these potential measurements only illus-trate the maximum possible accessibility a person can have,which may not accurately measure real-world transit accessibility in urban *** paper introduces a novel methodology to measure positive public transit accessibility based on multi-source big public transit data such as Smart Card Data(SCD)and Global Navigation Satellite System trajectory data,which embed rich travel information and real-world spatio-temporal ***,we use multi-source transit data to reconstruct trip chains,which are used to extract popular destinations.A novel transit accessibility measure is defined to account for latent trip information such as mode/route preference,opportunity attraction,and travel impedance that are difficult to capture explicitly via traditional normative ***,we produce accessibility maps to visualize time-varying and heterogeneous accessibility patterns distributed over the study *** performed an empirical evaluation on real-world transit data collected in Shenzhen City,China,demonstrating the applicability and effectiveness of the proposed method in mapping positive transit accessibility over large metropolitan *** results and findings of the empirical study demonstrate that the proposed positive accessibility measure can better capture travel behavior characteristics and constraints than traditional normative *** measure-ment method can be used as a practical high-resolution mapping tool for transit decision makers in evaluating public transit systems,supporting strategic transit planning,and improv-ing daily transit management.