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Program","award":["202210304057Z"],"award-info":[{"award-number":["202210304057Z"]}]},{"name":"Jiangsu Province College Students Innovation and Entrepreneurship Training Program","award":["202210304141Y"],"award-info":[{"award-number":["202210304141Y"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The volume of residential travel with different purposes follows relatively stable patterns in a specific period and state; therefore, it can reflect the operating status of urban traffic and even indicate urban vitality. Recent research has focused on changes in the spatiotemporal characteristics of urban mobility affected by the pandemic but has rarely examined the impact of COVID-19 on the travel conditions and psychological needs of residents. To quantitatively assess travel characteristics during COVID-19, this paper proposed a method by which to determine the purpose of residential travel by combining urban functional areas (UFAs) based on machine learning. Then, the residential travel structure, which includes origin\u2013destination (OD) points, residential travel flow, and the proportion of flows for different purposes, was established. Based on taxi trajectory data obtained during the epidemic in Nantong, China, the case study explores changes in travel flow characteristics under the framework of the residential travel structure. Through comparison of the number and spatial distribution of OD points in the residential travel structure, it is found that residential travel hotspots decreased significantly. The ratios of commuting and medical travel increased from 43.8% to 45.7% and 7.1% to 8.1%, respectively. Conversely, the ratios of other travel types all decreased sharply. Moreover, under Maslow\u2019s hierarchy of needs model, further insights into the impacts of COVID-19 on changes in residential psychological needs are discussed in this paper. This work can provide a reference for decision makers to cope with the change in urban traffic during a public health emergency, which is beneficial to the sustainable healthy development of cities.<\/jats:p>","DOI":"10.3390\/ijgi12020055","type":"journal-article","created":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T04:21:59Z","timestamp":1675830119000},"page":"55","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Revealing the Impact of COVID-19 on Urban Residential Travel Structure Based on Floating Car Trajectory Data: A Case Study of Nantong, China"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7317-5974","authenticated-orcid":false,"given":"Fei","family":"Tao","sequence":"first","affiliation":[{"name":"School of Geographical Sciences, Nantong University, Nantong 226007, China"},{"name":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjie","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Nantong University, Nantong 226007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Nantong University, Nantong 226007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaqiao","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Nantong University, Nantong 226007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Nantong University, Nantong 226007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3041-6264","authenticated-orcid":false,"given":"Tong","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Nantong University, Nantong 226007, China"},{"name":"State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Lake Hulun Wetland, Hulunbuir 021000, China"},{"name":"Jiangsu Yangtze River Economic Belt Research Institute, Nantong 226007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1002\/jmv.25678","article-title":"Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle","volume":"92","author":"Lu","year":"2020","journal-title":"J. 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