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Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy

Author

Listed:
  • Omar Isaac Asensio

    (Georgia Institute of Technology
    Georgia Institute of Technology)

  • Camila Z. Apablaza

    (Georgia Institute of Technology)

  • M. Cade Lawson

    (Georgia Institute of Technology)

  • Edward W. Chen

    (Georgia Institute of Technology)

  • Savannah J. Horner

    (Georgia Institute of Technology)

Abstract

Micromobility, such as electric scooters and electric bikes—an estimated US$300 billion global market by 2030—will accelerate electrification efforts and fundamentally change urban mobility patterns. However, the impacts of micromobility adoption on traffic congestion and sustainability remain unclear. Here we leverage advances in mobile geofencing and high-resolution data to study the effects of a policy intervention, which unexpectedly banned the use of scooters during evening hours with remote shutdown, guaranteeing near perfect compliance. We test theories of habit discontinuity to provide statistical identification for whether micromobility users substitute scooters for cars. Evidence from a natural experiment in a major US city shows increases in travel time of 9–11% for daily commuting and 37% for large events. Given the growing popularity of restrictions on the use of micromobility devices globally, cities should expect to see trade-offs between micromobility restrictions designed to promote public safety and increased emissions associated with heightened congestion.

Suggested Citation

  • Omar Isaac Asensio & Camila Z. Apablaza & M. Cade Lawson & Edward W. Chen & Savannah J. Horner, 2022. "Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy," Nature Energy, Nature, vol. 7(11), pages 1100-1108, November.
  • Handle: RePEc:nat:natene:v:7:y:2022:i:11:d:10.1038_s41560-022-01135-1
    DOI: 10.1038/s41560-022-01135-1
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    References listed on IDEAS

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    Cited by:

    1. Alireza Jafari & Yen-Chen Liu, 2024. "Pedestrians' safety using projected time-to-collision to electric scooters," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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