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Spatial and welfare effects of automated driving: Will cities grow, decline or both?

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  • Gelauff, George
  • Ossokina, Ioulia
  • Teulings, Coen

Abstract

This paper shows that automated driving can lead both, to growth and decline of cities. We simulate spatial effects of automated driving for the Netherlands using LUCA, the Dutch spatial general equilibrium model. Two components of automation are accounted for: (i) more productive time use during car trips; (ii) fast and comfortable door-to-door automated public transit. We find that the car component results in population flight from cities, while the public transit component leads to population clustering in urban areas. A combination of the two may result in the population concentrating in the largest, most attractive cities, at the expense of smaller cities and non-urban regions. The simulations suggest that welfare benefits of automation are considerable, with up to 10% coming from population relocation and changes in land use. Our results are particularly relevant for countries where public transit claims a considerable share of urban mobility. Neglecting the impact of vehicle automation on public transit could result in biased policy recommendations.

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  • Gelauff, George & Ossokina, Ioulia & Teulings, Coen, 2019. "Spatial and welfare effects of automated driving: Will cities grow, decline or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 277-294.
  • Handle: RePEc:eee:transa:v:121:y:2019:i:c:p:277-294
    DOI: 10.1016/j.tra.2019.01.013
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    Cited by:

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    6. Derrick Choe & Alexander Oettl & Robert Seamans, 2020. "What’s Driving Entrepreneurship and Innovation in the Transport Sector?," NBER Working Papers 27284, National Bureau of Economic Research, Inc.
    7. Emberger, Guenter & Pfaffenbichler, Paul, 2020. "A quantitative analysis of potential impacts of automated vehicles in Austria using a dynamic integrated land use and transport interaction model," Transport Policy, Elsevier, vol. 98(C), pages 57-67.
    8. 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.
    9. 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.
    10. David Ruiz Bargueño & Valerio Antonio Pamplona Salomon & Fernando Augusto Silva Marins & Pedro Palominos & Luis Armando Marrone, 2021. "State of the Art Review on the Analytic Hierarchy Process and Urban Mobility," Mathematics, MDPI, vol. 9(24), pages 1-13, December.
    11. Chi Feng & Zhenyu Mei, 2023. "Optimization of Shared Autonomous Vehicles Routing Problem: From the View of Parking," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    12. Solène Guenat & Phil Purnell & Zoe G. Davies & Maximilian Nawrath & Lindsay C. Stringer & Giridhara Rathnaiah Babu & Muniyandi Balasubramanian & Erica E. F. Ballantyne & Bhuvana Kolar Bylappa & Bei Ch, 2022. "Meeting sustainable development goals via robotics and autonomous systems," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    13. Kassens-Noor, Eva & Dake, Dana & Decaminada, Travis & Kotval-K, Zeenat & Qu, Teresa & Wilson, Mark & Pentland, Brian, 2020. "Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city," Transport Policy, Elsevier, vol. 99(C), pages 329-335.
    14. Sarri, Paraskevi & Kaparias, Ioannis & Preston, John & Simmonds, David, 2023. "Using Land Use and Transportation Interaction (LUTI) models to determine land use effects from new vehicle transportation technologies; a regional scale of analysis," Transport Policy, Elsevier, vol. 135(C), pages 91-111.
    15. Francis Ostermeijer & Hans RA Koster & Leonardo Nunes & Jos van Ommeren, 2021. "Citywide parking policy and traffic: Evidence from Amsterdam," Tinbergen Institute Discussion Papers 21-015/VIII, Tinbergen Institute.
    16. Sajjad Shafiei & Ziyuan Gu & Hanna Grzybowska & Chen Cai, 2023. "Impact of self-parking autonomous vehicles on urban traffic congestion," Transportation, Springer, vol. 50(1), pages 183-203, February.

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    More about this item

    Keywords

    Autonomous vehicles; Self-driving technology; Regional migration; Urban growth; Residential land market; General equilibrium; Wider benefits of transportation;
    All these keywords.

    JEL classification:

    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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