{"title":"COVID-19大流行期间游客行为的变化:利用移动大数据揭示城市参观动态以及与建筑环境的非线性关系","authors":"Lang Yuan , Kojiro Sho , Sunyong Eom , Hayato Nishi , Daisuke Hasegawa , Han Zhao , Takashi Aoki , Jiarui Zhu , Kaoru Matsuo , Akinobu Masumura","doi":"10.1016/j.habitatint.2024.103216","DOIUrl":null,"url":null,"abstract":"<div><div>COVID-19 has significantly affected the behavioural patterns of urban visitors. However, the non-linear relationships between visitor behaviour and built environments, particularly how these relationships have evolved during the pandemic, have not yet been extensively studied. Using over 10 million mobile big data records collected over three years in Fukuoka, Japan, incorporating the XGBoost machine learning model and SHAP-PDP interpretation method, we identified non-linear relationships between visitor behaviours and built environments. Our findings uncovered significant non-linear impacts on visitor behaviour of several urban characteristics, such as floor area ratio, building coverage ratio, road density, and POI richness. Notably, the floor area ratio exhibits a negative correlation with visit frequency below 1 but a positive correlation above 2. Building coverage ratio positively impacts visit frequency up to 1000 m<sup>2</sup> per 10,000 m<sup>2</sup>, after which it turns negative; this correlation shifted towards a consistent negative trend during the pandemic. Road density, which usually correlates negatively with visit duration, became positively correlated above 700 m<sup>2</sup> per 10,000 m<sup>2</sup> during the pandemic. Similarly, the influence of floor area ratio on visit duration reversed from negative to positive under pandemic conditions. Revealing the dynamic and non-monotonic nature of how urban visitors respond to the built environment under the influence of the pandemic, our results provide valuable insights for urban planning strategies in response to crisis resiliently.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":null,"pages":null},"PeriodicalIF":6.5000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Changes in visitor behaviour across COVID-19 pandemic: Unveiling urban visitation dynamics and non-linear relationships with the built environment using mobile big data\",\"authors\":\"Lang Yuan , Kojiro Sho , Sunyong Eom , Hayato Nishi , Daisuke Hasegawa , Han Zhao , Takashi Aoki , Jiarui Zhu , Kaoru Matsuo , Akinobu Masumura\",\"doi\":\"10.1016/j.habitatint.2024.103216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>COVID-19 has significantly affected the behavioural patterns of urban visitors. However, the non-linear relationships between visitor behaviour and built environments, particularly how these relationships have evolved during the pandemic, have not yet been extensively studied. Using over 10 million mobile big data records collected over three years in Fukuoka, Japan, incorporating the XGBoost machine learning model and SHAP-PDP interpretation method, we identified non-linear relationships between visitor behaviours and built environments. Our findings uncovered significant non-linear impacts on visitor behaviour of several urban characteristics, such as floor area ratio, building coverage ratio, road density, and POI richness. Notably, the floor area ratio exhibits a negative correlation with visit frequency below 1 but a positive correlation above 2. Building coverage ratio positively impacts visit frequency up to 1000 m<sup>2</sup> per 10,000 m<sup>2</sup>, after which it turns negative; this correlation shifted towards a consistent negative trend during the pandemic. Road density, which usually correlates negatively with visit duration, became positively correlated above 700 m<sup>2</sup> per 10,000 m<sup>2</sup> during the pandemic. Similarly, the influence of floor area ratio on visit duration reversed from negative to positive under pandemic conditions. Revealing the dynamic and non-monotonic nature of how urban visitors respond to the built environment under the influence of the pandemic, our results provide valuable insights for urban planning strategies in response to crisis resiliently.</div></div>\",\"PeriodicalId\":48376,\"journal\":{\"name\":\"Habitat International\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Habitat International\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0197397524002169\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEVELOPMENT STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Habitat International","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0197397524002169","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
Changes in visitor behaviour across COVID-19 pandemic: Unveiling urban visitation dynamics and non-linear relationships with the built environment using mobile big data
COVID-19 has significantly affected the behavioural patterns of urban visitors. However, the non-linear relationships between visitor behaviour and built environments, particularly how these relationships have evolved during the pandemic, have not yet been extensively studied. Using over 10 million mobile big data records collected over three years in Fukuoka, Japan, incorporating the XGBoost machine learning model and SHAP-PDP interpretation method, we identified non-linear relationships between visitor behaviours and built environments. Our findings uncovered significant non-linear impacts on visitor behaviour of several urban characteristics, such as floor area ratio, building coverage ratio, road density, and POI richness. Notably, the floor area ratio exhibits a negative correlation with visit frequency below 1 but a positive correlation above 2. Building coverage ratio positively impacts visit frequency up to 1000 m2 per 10,000 m2, after which it turns negative; this correlation shifted towards a consistent negative trend during the pandemic. Road density, which usually correlates negatively with visit duration, became positively correlated above 700 m2 per 10,000 m2 during the pandemic. Similarly, the influence of floor area ratio on visit duration reversed from negative to positive under pandemic conditions. Revealing the dynamic and non-monotonic nature of how urban visitors respond to the built environment under the influence of the pandemic, our results provide valuable insights for urban planning strategies in response to crisis resiliently.
期刊介绍:
Habitat International is dedicated to the study of urban and rural human settlements: their planning, design, production and management. Its main focus is on urbanisation in its broadest sense in the developing world. However, increasingly the interrelationships and linkages between cities and towns in the developing and developed worlds are becoming apparent and solutions to the problems that result are urgently required. The economic, social, technological and political systems of the world are intertwined and changes in one region almost always affect other regions.