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A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles

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  • Rounaq Basu
  • Joseph Ferreira

Abstract

Land use–transportation interaction models can be useful planning support systems to assess the long-term implications of emerging transportation technologies like mobility-on-demand and automated vehicles. We propose an agent-based simulation framework ( SimMobility Long-Term ) that uses econometrically robust behavioral models to model the potential impacts of accessibility changes in “car-lite†communities on the choice of housing-mobility bundles. Residential relocation and private mobility holding decisions are jointly considered in a sequential simulation modeling approach. Different types of market responses to the car-lite pilot are modeled through various scenarios via assumptions of changes in model parameters, and compared to a baseline where the car-lite pilot is never implemented. A comparatively vehicle-free study area with a low vacancy rate is chosen to obtain conservative estimates of policy impacts. Our findings indicate that initial awareness of the pilot is quite effective in making the study area more vehicle-free relative to the baseline. However, as market effects start impacting housing prices and bidding results, the vehicle-free gains are significantly reduced due to neighborhood gentrification. In conclusion, we highlight how land use–transportation interaction models can be used to explore market dynamics to see where market pressures matter, along with the need to align car-lite policies with market conditions regarding vacancy and car ownership rates.

Suggested Citation

  • Rounaq Basu & Joseph Ferreira, 2020. "A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles," Environment and Planning B, , vol. 47(8), pages 1397-1417, October.
  • Handle: RePEc:sae:envirb:v:47:y:2020:i:8:p:1397-1417
    DOI: 10.1177/2399808320925278
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    1. Meyer, Jonas & Becker, Henrik & Bösch, Patrick M. & Axhausen, Kay W., 2017. "Autonomous vehicles: The next jump in accessibilities?," Research in Transportation Economics, Elsevier, vol. 62(C), pages 80-91.
    2. Brian Deal & Haozhi Pan & Varkki Pallathucheril & Gale Fulton, 2017. "Urban Resilience and Planning Support Systems: The Need for Sentience," Journal of Urban Technology, Taylor & Francis Journals, vol. 24(1), pages 29-45, January.
    3. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1990. "Experimental Tests of the Endowment Effect and the Coase Theorem," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1325-1348, December.
    4. Christina Pakusch & Gunnar Stevens & Alexander Boden & Paul Bossauer, 2018. "Unintended Effects of Autonomous Driving: A Study on Mobility Preferences in the Future," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    5. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    6. Jason Hawkins & Khandker Nurul Habib, 2019. "Integrated models of land use and transportation for the autonomous vehicle revolution," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 66-83, January.
    7. Casey Dawkins & Rolf Moeckel, 2016. "Transit-Induced Gentrification: Who Will Stay, and Who Will Go?," Housing Policy Debate, Taylor & Francis Journals, vol. 26(4-5), pages 801-818, September.
    8. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W., 2018. "Cost-based analysis of autonomous mobility services," Transport Policy, Elsevier, vol. 64(C), pages 76-91.
    9. Zhang, Junyi & Yu, Biying & Chikaraishi, Makoto, 2014. "Interdependences between household residential and car ownership behavior: a life history analysis," Journal of Transport Geography, Elsevier, vol. 34(C), pages 165-174.
    10. Milakis, Dimitris & Kroesen, Maarten & van Wee, Bert, 2018. "Implications of automated vehicles for accessibility and location choices: Evidence from an expert-based experiment," Journal of Transport Geography, Elsevier, vol. 68(C), pages 142-148.
    11. Zakharenko, Roman, 2016. "Self-driving cars will change cities," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 26-37.
    12. Wadud, Zia, 2017. "Fully automated vehicles: A cost of ownership analysis to inform early adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 163-176.
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    Cited by:

    1. Haozhi Pan & Stan Geertman & Brian Deal, 2020. "What does urban informatics add to planning support technology?," Environment and Planning B, , vol. 47(8), pages 1317-1325, October.
    2. Rubén Cordera & Soledad Nogués & Esther González-González & José Luis Moura, 2021. "Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    3. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
    4. Alberto Dianin & Elisa Ravazzoli & Georg Hauger, 2021. "Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    5. Basu, Rounaq & Ferreira, Joseph, 2021. "Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19," Transport Policy, Elsevier, vol. 103(C), pages 197-210.

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