Residential Location Choice in the Era of Shared Autonomous Vehicles

被引：66

作者：

Zhang, Wenwen ^{[1
]}

Guhathakurta, Subhrajit ^{[2
]}

机构：

[1] Virginia Polytech Inst & State Univ, Blacksburg, VA 24061 USA

[2] Georgia Inst Technol, Atlanta, GA 30308 USA

来源：

JOURNAL OF PLANNING EDUCATION AND RESEARCH | 2021年 / 41卷 / 02期

基金：

美国国家科学基金会;

关键词：

shared autonomous vehicles; residential location choice; urban form; sprawl; LAND-USE; TRANSPORTATION; OWNERSHIP; DEMAND; IMPACT; MODEL;

D O I：

10.1177/0739456X18776062

中图分类号：

TU98 [区域规划、城乡规划];

学科分类号：

0814 ; 082803 ; 0833 ;

摘要：

This study examines the potential changes in residential location choice in a scenario where shared autonomous vehicles (SAVs) are a popular mode of travel in the Atlanta metropolitan area. This hypothetical study is based on an agent-based simulation approach, which integrates residential location choice models with a SAV simulation model. The coupled model simulates future home location choices given current home location preferences and real estate development patterns. The results indicate that commuters may relocate to neighborhoods with better public schools and more amenities due to reductions in commute costs.

引用

页码：135 / 148

页数：14

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