{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:06:36Z","timestamp":1760148396046,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T00:00:00Z","timestamp":1682380800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"],"award-info":[{"award-number":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources","award":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"],"award-info":[{"award-number":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"]}]},{"name":"Open Research Fund by Guangdong Key Laboratory of Urban Informatics","award":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"],"award-info":[{"award-number":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"],"award-info":[{"award-number":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"]}]},{"name":"Open funding of Key Lab of Spatial Data Mining &amp; Information Sharing of Ministry of Education","award":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"],"award-info":[{"award-number":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"]}]},{"name":"Shenzhen Science and Technology Program","award":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"],"award-info":[{"award-number":["42271468","42201500","KF2022-07-005","SZU51029202007","GK202201008","2022LSDMIS03","JCYJ20220818100200001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The interaction between the population and built environment is a constant topic in urban spaces and is the main driving force of urban evolution. Understanding urban population distribution and its relationship with the built environment could provide guidance for urban planning, traffic, and disaster management. Following this line of thought, this study conducted an empirical analysis in Xi\u2019an, a rapidly developing western city in China. Well-permeated mobile phone location data were used to represent the spatiotemporal dynamics of the population, and the built environment was characterized from five perspectives\u2014transportation, location, building, greenery, and land use\u2014using multisource geospatial data. Finally, the dynamic heterogeneous influence of built environment factors on population distribution was examined using multiscale geographically weighted regression (MGWR). Overall, the influencing coefficients exhibited a significant dynamic changing process from a temporal perspective and simultaneously demonstrated spatial nonstationarity. Moreover, the specific findings about the influence of each built environment factor facilitate a deeper insight into dynamic population distribution and its determinants.<\/jats:p>","DOI":"10.3390\/rs15092257","type":"journal-article","created":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T01:37:01Z","timestamp":1682386621000},"page":"2257","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The Dynamic Heterogeneous Relationship between Urban Population Distribution and Built Environment in Xi\u2019an, China: A Case Study"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2507-4757","authenticated-orcid":false,"given":"Xiping","family":"Yang","sequence":"first","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China"},{"name":"School of Geography and Tourism, Shaanxi Normal University, Xi\u2019an 710119, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350003, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4383-0974","authenticated-orcid":false,"given":"Chaoyang","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Geography and Tourism, Shaanxi Normal University, Xi\u2019an 710119, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0255-4037","authenticated-orcid":false,"given":"Wei","family":"Tu","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Research Institute of Smart Cities, Shenzhen University, Shenzhen 518060, China"},{"name":"Department of Urban Informatics, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"964","DOI":"10.1177\/2399808319874805","article-title":"Improving emergency evacuation planning with mobile phone location data","volume":"47","author":"Yin","year":"2020","journal-title":"Environ. 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