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Non-linear relationships between built environment and commuting duration of migrants and locals

16 references·13 citing·45 second hopsampled

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References

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2010Travel and the Built Environment5,396 cited
1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
2001Travel and the Built Environment: A Synthesis1,882 cited
2008Stress that Doesn't Pay: The Commuting Paradox*888 cited
2018Applying a random forest method approach to model travel mode choice behavior491 cited
2021To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults462 cited
2019Commuting and wellbeing: a critical overview of the literature with implications for policy and future research448 cited
2015Internal Migration and Development: Comparing Migration Intensities Around the World425 cited
2017A comparative study of machine learning classifiers for modeling travel mode choice423 cited
2013Comparing measures of urban land use mix409 cited
2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
2006'Which Reduces Vehicle Travel More: Jobs-Housing Balance or Retail-Housing Mixing?361 cited
2020Examining non-linear built environment effects on elderly’s walking: A random forest approach352 cited

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2004

Measuring the effects of mixed land uses on housing values

311 cited

2016Built environmental impacts on commuting mode choice and distance: Evidence from Shanghai294 cited

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2024The dilemmas of transport equity research in non-Western contexts20 cited
2024Multiple reference points of commute time in commute satisfaction18 cited
2023The varying effects of residential built environment on travel behavior of internal migrants and locals12 cited
2025Unlocking the nonlinear TOD-metro ridership relationship: A novel machine learning approach embedding spatiotemporal heterogeneity12 cited
2024Exploring the nonlinear relationships between human travel and road traffic congestions using taxi trajectory data10 cited
2024Exploring the spatiotemporal relationships between built environment and the public transport competitiveness: A case study from Beijing10 cited
2024Analysis of Urban Congestion Traceability: The Role of the Built Environment8 cited
2025Examining nonlinear causal relationship between the built environment and VKT using RF–XGBoost6 cited
2025Commuting flow patterns across a triad of Chinese megacities: Evidence from Poisson gravity modeling using mobile device data6 cited