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With the increase in population and the economic growth in urban areas, the issue of congestion and the negative influence of transport of goods on people and the environment is one of the most important factors in the development of urban logistics. By determining the optimal location of urban logistics centres, total transport costs of logistics, the flow of goods in urban areas and the greenhouse gas emissions will be reduced. However, the traditional methods are easily influenced by the ambiguity of objective data, which makes it difficult to accurately describe the logistics demand in the urban area. To address this issue, the improved location\u2013allocation model for urban logistics centres based on truck trajectory data is proposed. After extracting the origin\u2013destination points, the logistics service demand can be estimated by the DBSCAN (density-based spatial clustering of applications with noise) clustering method. Then, the location\u2013allocation of logistics centres is determined by an improved P-median method with the supply capacity limitation for simultaneous delivery of goods in the logistics centres. To validate the model, taking Wuhan, a central logistics city in China, as an example, the model can effectively ensure the equitable distribution of logistics facilities, minimize freight expenses, achieve more uniformity in logistics center services, and foster sustainable development of the city\u2019s logistics sector.<\/jats:p>","DOI":"10.3390\/ijgi12030088","type":"journal-article","created":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T03:56:58Z","timestamp":1677124618000},"page":"88","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Using Large-Scale Truck Trajectory Data to Explore the Location of Sustainable Urban Logistics Centres\u2014The Case of Wuhan"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7048-3293","authenticated-orcid":false,"given":"Hongzan","family":"Jiao","sequence":"first","affiliation":[{"name":"Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China"},{"name":"Engineering Research Center of Human Settlements and Environment of Hubei Province, Wuhan 430072, China"},{"name":"Research Center for Digital City, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faxing","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shasha","family":"Xu","sequence":"additional","affiliation":[{"name":"Wuhan Planning and Design Institute, Wuhan 430014, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shibiao","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.scs.2017.03.011","article-title":"Sustainable Urban Freight Transport in Megacities in Emerging Markets","volume":"32","author":"Kin","year":"2017","journal-title":"Sustain. 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