This work leverages globally consistent data on parks from Google Maps, in combination with the computational power of Google Maps Directions API to quantify accessibility to parks across nearly 500 metropolitan areas in six countries: Estonia, France, Greece, Mexico, Sweden, and the United States. We combined high resolution population data from Worldpop with parks data and navigation estimates to measure: (1) Fraction of the population with access to parks within a 10-minute walk; and (2) t...
This paper assesses differences in life satisfaction along the urban-rural continuum in 111 countries across all world regions. It combines survey data with a consistent definition of settlements to maximise international comparability. Globally, once controlled for individual characteristics, life satisfaction in cities is slightly higher than in rural areas, although the difference decreases with development levels and disappears for high-income countries. Among the factors associated with ...
Over time, cities expand their physical footprint on land and new cities emerge. The shape of the built environment can affect several domains which are policy relevant, such as carbon emissions, housing affordability, infrastructure costs, and access to services. This study lays a methodological basis for the monitoring and consistent comparison of land use across OECD cities. An advanced form of deep learning, namely the U-Net model, is used to classify land cover and land use in EC-ESA sat...
The COVID-19 pandemic has led to a significant shift in the way people work, with an increasing number of individuals opting to work from home. Fewer commutes allow people to live further away from the city centre, where jobs typically concentrate. Against this background, this paper tests the hypothesis of a shift in housing demand away from the city centre towards the suburbs using a novel granular house price data set covering 16 OECD countries. The results indicate a flattening of the hou...