ITS Berkeley

Urban transport is a major source of greenhouse gas emissions, making effective urban planning crucial for climate mitigation. Global typologies of cities can help to scale planning strategies, yet they hardly capture how interventions translate into local contexts. Big urban data, combined with artificial intelligence, holds great potential to facilitate scalable yet location-specific planning to reduce urban travel and related emissions. However, current research falls short in recognizing underlying variable dependencies, understanding neighborhood-specific differences, and comparing...

Accurate modeling of human mobility is critical for tackling urban planning and public health challenges. In undeveloped regions, the absence of comprehensive travel surveys necessitates reconstructing mobility networks from publicly available data. Here we develop neuroGravity, a physics-informed deep learning model that reliably reconstructs mobility flows from limited observations and transfers to unobserved cities. Using only urban facility and population distributions, we find that neuroGravity's regional representations strongly correlate with socioeconomic and livability status,...

Lithium-ion batteries are often retired while still retaining 70–80% of their rated capacity, creating economic and environmental challenges across their supply chain. Although reuse, recycling and remanufacturing offer alternatives to recover this otherwise under-utilized value, their implementation is hindered by the lack of reliable data on battery condition at retirement, making it difficult to determine whether, when and how these alternatives should be applied. In this Perspective, we discuss how artificial intelligence (AI) can help to overcome data barriers by enabling adaptive,...

Emerging evidence suggests that extreme heat elevates road-traffic injuries, undermining international road safety efforts like Vision Zero as global warming intensifies. However, the mechanisms underlying heat-related crashes remain poorly understood, with limited research linking heat exposure to specific crash types that may be driven by heat-induced unsafe road behaviors. Here, we analyzed temperature data and police-reported crash records—including detailed crash scene information—from 177 California cities (2012–2023) using a time-stratified case-crossover design, examining...