Neighborhood, Built Environment and Resilience in Transportation during the COVID-19 Pandemic
Published in Transportation Research Part D: Transport and Environment, 2022
Core contribution: This article conceptualizes transit resilience during COVID-19 as a neighborhood-contextual process. By comparing observed and counterfactual ridership, it shows that vulnerability and recovery are jointly shaped by built environment conditions, policy shocks, and social vulnerability.
Highlights
- Measures transit vulnerability and resilience with a Bayesian structural time-series framework.
- Moves beyond ridership decline to compare shock, counterfactual baseline, and recovery trajectory.
- Shows that built environment features can create trade-offs between ordinary ridership and pandemic resilience.
- Connects transit resilience with neighborhood social vulnerability and unequal adaptive capacity.
核心贡献: 本文将疫情期间的公共交通韧性理解为嵌入邻里情境的过程。研究通过比较实际客流与反事实客流，说明交通系统的脆弱性与恢复能力共同受到建成环境、政策冲击和社会脆弱性的塑造。
核心亮点
- 利用贝叶斯结构时间序列框架测度交通脆弱性与韧性。
- 从简单客流下降推进到冲击、反事实基线和恢复轨迹的比较。
- 指出建成环境可能在日常客流和疫情韧性之间形成权衡。
- 将交通韧性与邻里社会脆弱性和适应能力不平等联系起来。
