Predicting Changes in the Built Environment in the era of Vehicular Automation: A Review

Jindo Jeong; Juhyun Lee; Tae Hyoung Tommy Gim

doi:10.1177/08854122221138530

Predicting Changes in the Built Environment in the era of Vehicular Automation: A Review

Jindo Jeong^*
, Juhyun Lee
, Tae Hyoung Tommy Gim

^*Corresponding author for this work

Department of Urban Planning and Design

Seoul National University

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

We conducted a comprehensive investigation into the relationship between autonomous vehicles (AVs) and the built environment (BE). We explored how various potential changes in transportation by AVs may influence the BE using the D-variables: density, diversity, design, and destination accessibility. Our review revealed that AVs could cause drastic changes to all aspects of the BE; however, the extent of these changes strongly depends on uncertainties in technology, policy, and transportation modes. Further research into AVs–BE relationships should focus on developing comprehensive scenarios, accounting for these uncertainties and regional and social characteristics.

Original language	English
Pages (from-to)	215-228
Number of pages	14
Journal	Journal of Planning Literature
Volume	38
Issue number	2
DOIs	https://doi.org/10.1177/08854122221138530
Publication status	Published - May 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 15 Life on Land

Keywords

autonomous vehicles
density
design
destination accessibility
diversity
land use–transportation interaction
urban transportation

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10.1177/08854122221138530

Cite this

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title = "Predicting Changes in the Built Environment in the era of Vehicular Automation: A Review",

abstract = "We conducted a comprehensive investigation into the relationship between autonomous vehicles (AVs) and the built environment (BE). We explored how various potential changes in transportation by AVs may influence the BE using the D-variables: density, diversity, design, and destination accessibility. Our review revealed that AVs could cause drastic changes to all aspects of the BE; however, the extent of these changes strongly depends on uncertainties in technology, policy, and transportation modes. Further research into AVs–BE relationships should focus on developing comprehensive scenarios, accounting for these uncertainties and regional and social characteristics.",

keywords = "autonomous vehicles, density, design, destination accessibility, diversity, land use–transportation interaction, urban transportation",

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year = "2023",

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doi = "10.1177/08854122221138530",

language = "English",

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AU - Jeong, Jindo

AU - Lee, Juhyun

AU - Gim, Tae Hyoung Tommy

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N2 - We conducted a comprehensive investigation into the relationship between autonomous vehicles (AVs) and the built environment (BE). We explored how various potential changes in transportation by AVs may influence the BE using the D-variables: density, diversity, design, and destination accessibility. Our review revealed that AVs could cause drastic changes to all aspects of the BE; however, the extent of these changes strongly depends on uncertainties in technology, policy, and transportation modes. Further research into AVs–BE relationships should focus on developing comprehensive scenarios, accounting for these uncertainties and regional and social characteristics.

AB - We conducted a comprehensive investigation into the relationship between autonomous vehicles (AVs) and the built environment (BE). We explored how various potential changes in transportation by AVs may influence the BE using the D-variables: density, diversity, design, and destination accessibility. Our review revealed that AVs could cause drastic changes to all aspects of the BE; however, the extent of these changes strongly depends on uncertainties in technology, policy, and transportation modes. Further research into AVs–BE relationships should focus on developing comprehensive scenarios, accounting for these uncertainties and regional and social characteristics.

KW - autonomous vehicles

KW - density

KW - design

KW - destination accessibility

KW - diversity

KW - land use–transportation interaction

KW - urban transportation

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JO - Journal of Planning Literature

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IS - 2

ER -

Predicting Changes in the Built Environment in the era of Vehicular Automation: A Review

Abstract

UN SDGs

Keywords

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