{"title":"Integrated modeling of residential and work-related mobilities: A large-scale dynamic Bayesian network approach","authors":"Yajie Yang, Soora Rasouli, Feixiong Liao","doi":"10.1016/j.cities.2024.105546","DOIUrl":null,"url":null,"abstract":"<div><div>Residence and work-related choices are commonly assumed interdependent and associated with some other individuals' and households' life events as well as people's socio-demographics. This paper proposes an integrated dynamic model to capture the determinants of residential and work-related mobilities, taking into account their associations with other life events. The change of employment is modeled with its multi-dimensional features, i.e., change of working hours and change of work place location, while residential mobility is modeled through the change of residential location as well as with whom within the household the move out take place. The Dutch micro-population data from 2015 to 2019 provided by the Netherlands CBS (Census Bureau of Statistics) are used to train and validate a dynamic Bayesian network (DBN) model. The integrated model has a high prediction precision with an average of 89.77% across life events. The results suggest that other life events, such as getting married or divorced, significantly affect the relocation of residence, while changes in working hours strongly influence the work place relocation. However, the relocations of residence and work place in the Netherlands appeared not to be directly intertwined.</div></div>","PeriodicalId":48405,"journal":{"name":"Cities","volume":"156 ","pages":"Article 105546"},"PeriodicalIF":6.0000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cities","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264275124007601","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Residence and work-related choices are commonly assumed interdependent and associated with some other individuals' and households' life events as well as people's socio-demographics. This paper proposes an integrated dynamic model to capture the determinants of residential and work-related mobilities, taking into account their associations with other life events. The change of employment is modeled with its multi-dimensional features, i.e., change of working hours and change of work place location, while residential mobility is modeled through the change of residential location as well as with whom within the household the move out take place. The Dutch micro-population data from 2015 to 2019 provided by the Netherlands CBS (Census Bureau of Statistics) are used to train and validate a dynamic Bayesian network (DBN) model. The integrated model has a high prediction precision with an average of 89.77% across life events. The results suggest that other life events, such as getting married or divorced, significantly affect the relocation of residence, while changes in working hours strongly influence the work place relocation. However, the relocations of residence and work place in the Netherlands appeared not to be directly intertwined.
期刊介绍:
Cities offers a comprehensive range of articles on all aspects of urban policy. It provides an international and interdisciplinary platform for the exchange of ideas and information between urban planners and policy makers from national and local government, non-government organizations, academia and consultancy. The primary aims of the journal are to analyse and assess past and present urban development and management as a reflection of effective, ineffective and non-existent planning policies; and the promotion of the implementation of appropriate urban policies in both the developed and the developing world.