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作者

Chuanbao Jing;Weiqi Zhou;Yuguo Qian;Zhong Zheng;Jia Wang;Wenjuan Yu

来源

CITIES,Vol.134,Issue1,Article 104127

语言

英文

关键字

作者单位

State Key laboratory of urban and regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;University of Chinese Academy of Sciences, Beijing 100049, China;Beijing-Tianjin-Hebei Urban Megaregion National Observation and Research Station for Eco-Environmental Change, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;Xiongan Institute of Innovation, Xiongan New Area, 071000, China;State Key laboratory of urban and regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;University of Chinese Academy of Sciences, Beijing 100049, China;Beijing-Tianjin-Hebei Urban Megaregion National Observation and Research Station for Eco-Environmental Change, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;Xiongan Institute of Innovation, Xiongan New Area, 071000, China;The Bartlett School of Planning, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK;School of Urban Design, Wuhan University, No. 299 Bayi Road, Wuchang District, Wuhan 430072, China;Hubei Habitat Environment Research Centre of Engineering and Technology, Wuhan, China;Humphrey School of Public Affairs, University of Minnesota, Minneapolis, USA;State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China;Key Laboratory of Environmental Change and Natural Disasters, Ministry of Education, Beijing Normal University, Beijing 100875, China;School of National Safety and Emergency Management, Beijing Normal University, Beijing 100875, China;Department of Geosciences, University of Arkansas, Fayetteville 72762, USA;School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China;Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing 100875, China;Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;Virginia Center for Housing Research (VCHR) at Virginia Tech, United States of America;Institut d'Estudis Regionals i Metropolitans de Barcelona (IERMB), Autonomous University of Barcelona, Plaça del Coneixement, Edifici MRA, Planta 2, Campus UAB, 08193 Bellaterra, Spain;TURBA Lab, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Barcelona, Spain;Centre for Urban Research, School of Global Urban and Social Studies, RMIT University, 411 Swanston Street, Melbourne, VIC 3000, Australia;Australian Urban Design Research Centre (AUDRC), School of Design, The University of Western Australia, Level 2, 1002 Hay St, Perth, Western Australia, Australia;School of Agriculture & Environment, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia

摘要

Quantifying spatial disparities of accessibility to basic services is fundamentally important for achieving the SDGs goal of universal access to these services. Trajectory big data shows great potential to address such disparities, but we know little about its efficacy. Here, taking patients from residential neighborhoods to healthcare in Beijing, China, as an example, we tested the efficacy of applying taxi data on the patients' travel behavior and thereby the potential of measuring accessibility at the residential neighborhood scale. Our results showed that the taxi data quantified a decreased healthcare-seeking behavior with increased distance from hospitals and identified hospitals' catchment areas. Meanwhile, the exponential function provided a more accurate estimation of the decay distance of patients to healthcare than the Gaussian and Power functions. Additionally, results showed that using taxi data had great potential to quantify the accessibility to hospitals, and more importantly, to reveal the spatial disparity of accessibility at a finer scale than blocks or subdistricts. The approach developed in this study can improve our understanding of accessibility and its spatial disparity and provide fundamental data for the increasing interest in the 15-min community life circle planning worldwide, and to address local healthcare inequality.