Integrated modeling of residential and work-related mobilities
A large-scale dynamic Bayesian network approach
Bibliographic Data
| ID | 6419632 |
|---|---|
| Authors | Yajie Yang (0000-0002-5292-0349), Soora Rasouli (0000-0001-8044-8654), Feixiong Liao (0000-0002-8911-0788) |
| Year | 2024 |
| Volume | 156 |
| Pages | 105546-105546 |
| Publication date | 2024-10-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2024.105546 |
| OpenAlex | W4403929524 |
| Language | EN |
| Citations received | 3 |
| References cited | 62 |
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
Bayesian probability · Cartography · Geography · Mobilities · Scale (ratio · Social science · Sociology · Work (physics · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Traffic Prediction and Management Techniques · Urban Transport and Accessibility · Artificial Intelligence
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Adopting a random forest approach to model household residential relocation behavior
Who Moves to Whom? Gender Differences in the Distance Moved to a Shared Residence
Migration and job change
Job Moving, Residential Moving, and Commuting
Your Place or Mine? On the Residence Choice of Young Couples in Norway
Tied Down Or Room To Move? Investigating The Relationships Between Housing Tenure, Employment Status And Residential Mobility In Britain
Residential Mobility and Public Policy Issues
A Structural Dynamic Analysis of Job Turnover and the Costs Associated with Moving to Another Job
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Residential Mobility and Local Housing-Market Differences
Family migration and mobility sequences in the United States
Job Mobility and Earnings Growth
Gender differences in the impact of job mobility on earnings
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |