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Adopting a random forest approach to model household residential relocation behavior · Study

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ArticleAdopting a random forest approach to model household residential relocation behavior

Fei Xue2022

Article2022

Adopting a random forest approach to model household residential relocation behavior

Fei Xue · Enjian Yao

30 citations·0/0 files stored·Cities

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Urban Transport and Accessibility Housing Market and Economics Transportation Planning and Optimization

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References

2010Travel and the Built Environment 2006A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels 2003Residential Relocation and Changes in Urban Travel: Does Neighborhood-Scale Urban Form Matter?2018Applying a random forest method approach to model travel mode choice behavior 2018Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo 2020Examining non-linear built environment effects on elderly’s walking: A random forest approach 2012The influence of urban design on neighbourhood walking following residential relocation: Longitudinal results from the RESIDE study 2021Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach

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2023Inferring nonwork travel semantics and revealing the nonlinear relationships with the community built environment 2023Can mixed land use promote social integration? Multiple mediator analysis based on spatiotemporal big data in Beijing 2024Understanding temporary residential mobility during urban renewal: Insights from a structured community survey and machine learning analysis

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2020Exploring residential relocation behavior for families with workers and students; a study from Beijing, Chinaarticle · 30 shared references 2022Impact analysis of residential relocation on ownership, usage, and carbon-dioxide emissions of private carsarticle · 21 shared references 2023In search of causality in the relationship between the built environment and travel behaviour. On the challenges of planning and realising an ambitious mixed-methods panel travel survey among relocating households in Germanyarticle · 20 shared references 2021Does a residential relocation enable satisfying travel?article · 16 shared references 2025Built environment and travel: Tackling non-linear residential self-selection with double machine learningarticle · 15 shared references 2024Residential self-selection and the relative importance of travel considerations in the residential choice of a car-reduced neighbourhoodarticle · 13 shared references

Details

Year2022

Typearticle

Published2022-02-08

VenueCities

ISSN-L0264-2751

Languageen

Citations30

Files0 public / 0

ShelfUrban Transport and Accessibility

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doi10.1016/j.cities.2022.103625

openalex_workW4211062129

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2025

Who moves where—and what housing choices do they make? uncovering spatial polarization through life-course migration in a shrinking megacity