🤖 AI Summary
This study addresses the hidden inequalities in community adaptive capacity to urban decarbonization policies, which often increase mobility costs but whose differential impacts remain poorly observed. Leveraging the 2026 U.S.–Iran oil shock as a natural experiment, the authors employ a multi-level panel regression discontinuity design on 1.7 trillion points-of-interest visit records across 122,000 communities in China and the United States. Treating the oil price shock as an urban stress test, they reveal substantial heterogeneity in mobility responses: nearly three-quarters of communities reduced their travel range, with greater contraction among those initially exhibiting longer baseline travel distances and higher energy intensity. Communities heavily dependent on automobiles faced constrained adjustment—some sustained mobility only by bearing higher costs, while others remained structurally locked and unable to reorganize their travel patterns.
📝 Abstract
Urban decarbonization often raises the cost of travel, yet which neighbourhoods can adapt remains largely invisible under normal conditions. We leverage the 2026 US-Iran oil shock as a natural experiment, applying a hierarchical panel regression discontinuity design to 1.7 trillion point-of-interest visits across 122,000 neighbourhoods in China and the United States. Mobility range declined in nearly three-quarters of neighbourhoods, but responses varied systematically with pre-shock urban conditions. Exposure to energy-intensive travel explained the largest share of modelled heterogeneity in both countries, while adaptive capacity and activity composition further shaped how travel was reorganized. Longer baseline travel intensified contraction, whereas greater car dependence constrained adjustment. Crucially, similar mobility outcomes arose from different processes: some neighbourhoods maintained travel by absorbing higher costs, whereas others appeared structurally locked into travel they could not reorganize. Fuel-price shocks, therefore, act as urban stress tests, revealing otherwise hidden inequalities in mobility adaptation.