Paolo Avner

TL;DR: In this article, the authors introduce a systemic modelling approach to the problem of how best to adapt cities is especially challenging as urban areas will evolve as the climate changes, and examine adaptation strategies for cities requires a strong interdisciplinary approach involving urban planners, architects, meteorologists, building engineers, economists, and social scientists.

TL;DR: This study provides a structural framework in six steps that combines narratives and model-based approaches to explore urban climate impacts in the long term and at a fine scale and provides insights into key triggers to improve urban adaptation.

TL;DR: In this paper, the authors used a non-supervised learning algorithm to identify meaningful locations for individuals and then labeled these locations according to a scoring criteria, the labelled locations are distributed in a grid with cells measuring 500'×'500'm in order to aggregate the individual level data and to create origin-destination matrices of weighted connections between home and work locations.

TL;DR: In this paper, the authors investigated the effect of public transport on the efficiency of carbon or gasoline taxes on commuting-related CO2 emissions in an urban context, and showed that the price elasticity of CO 2 emissions is twice as high in the short run if public transport options exist.

TL;DR: In this article, the authors examine employment accessibility in Nairobi, Kenya and evaluate whether modification of land use patterns can contribute to increases in aggregate accessibility, based on simulation of counterfactual scenarios of the location of jobs and households throughout the city.