混合办公与美国城市出行结构的重构
Hybrid Work and the Restructuring of Urban Mobility in U.S. Cities
- University of California, Berkeley（加州大学伯克利分校）
- Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
针对后疫情时代混合办公对城市出行的影响，提出三维分析框架，基于美国15个大都市区数据发现汽车出行增加，出行频率是主因，紧凑形态有调节作用。
AI中文摘要：
进入后疫情时代，城市正经历由混合办公和时空灵活性所塑造的新常态，但现有证据在空间上分散且时间上有限。本文开发了一种分析方法，通过三个维度考察这种重组：基于行业构成的远程办公采纳情况、基于出行层面指标的日常出行行为，以及基于出行衍生度量的功能性城市形态。为捕捉城市动态的相互作用，我们综合了三个互补的空间指标。特别是，将总体出行中心性与工作出行集中度相结合，可区分就业和日常活动是否围绕相同中心组织。将该方法应用于2019-2024年间美国15个大都市区的人口规模数据，结果表明，尽管远程办公水平升高，日常汽车出行仍有所增加，这一模式在不同空间结构的城市中均一致。分解和回归分析识别出出行频率是车辆行驶里程（VKT）增长的主要贡献因素，而紧凑的城市形态和集中的就业对此具有调节作用。该方法为后疫情时代城市出行的比较研究提供了一个可复制的框架。
英文摘要：
Entering the post-pandemic era, cities navigate a new normal shaped by hybrid work and space-time flexibility, but existing evidence is spatially scattered and temporally limited. Here we develop an analytical approach that examines this reorganization through three dimensions: remote work adoption via sector composition, daily travel behavior via trip-level metrics, and functional urban form via mobility-derived measures. To capture the interplay of urban dynamics, we synthesize three complementary spatial metrics. In particular, coupling overall trip centrality with work-trip concentration differentiates whether employment and daily activity organize around the same centers. Applied to population-scale data across 15 U.S. metropolitan areas spanning 2019-2024, our approach shows that daily car travel increased despite elevated remote work, a pattern consistent across cities with distinct spatial structures. Decomposition and regression identify trip frequency as the primary contributor to VKT growth, moderated by compact urban form and concentrated employment. The approach provides a replicable framework for comparative study of post-pandemic urban mobility.
