Remote sensing and GPS mobility reveal heat's impact on human activity across diverse climates

TL;DR

This study uses remote sensing and GPS data across Indonesia, India, and Mexico to analyze how extreme heat impacts human mobility, revealing significant reductions especially in poorer urban areas and projecting future declines without adaptation.

Contribution

It provides new empirical evidence linking extreme heat to reductions in human mobility across diverse climates and highlights potential future impacts based on climate projections.

Findings

Extreme heat reduces mobility by up to 10% in urban areas

Very hot days and long heat waves may increase activity due to adaptation

Without adaptation, mobility could decline by 1-2% annually, with larger impacts in smaller cities

Abstract

Extreme heat is a growing threat to both individual livelihoods and broader economies, killing a growing number of people each year as temperatures rise in many parts of the world and limiting productivity. Many studies document the link between heat waves and mortality or morbidity, and others explore the economic consequences of them, but few are able to determine how populations respond to the shock of extreme heat in day-to-day activity. Toward this end, we investigate the link between human mobility and ambient temperature. Examining Indonesia, India and Mexico, we show that extreme heat reduces mobility by up to 10% in urban settings, with losses concentrated midday. We examine the shape of the relationship, finding that while heat reduces activity, very hot days and very long heat waves may induce more of it, indicating different adaptation. Effects are stronger in poorer areas. Twinning these models with climate projections, we show that without adaptation mobility may fall 1-2% per year on aggregate, with certain seasons and places seeing activity fall by as much as 10%. According to our estimates, small cities will face the highest relative losses and large cities will experience the greatest absolute impacts.