Task 1
Characterizing the intra-urban spatial distribution of land use, population and environmental attributes
Characterizing the intra-urban spatial distribution of land use, population and environmental attributes
Following Lemoy and Caruso (2020), the methodology consists in two phases:
a radial analysis is first conducted in all functional urban areas in France and the radial profiles from the center to the periphery are computed
a scaling analysis then identifies the scaling law of these profiles, that is, their evolution in space and with city size measured by the total population.
Different datasets and variables will be used and combined:
to characterize the fundamental components of cities, as usually approached by urban economic models: artificial land uses provided by the 2018 Urban Atlas, population density provided by the 2011 Geostat population grid or the 2012 Urban Atlas population estimates by polygon and housing price datasets from DVF and Perval datasets all characterize
to study urban environmental attributes: the land-use classification of urban green spaces from the 2018 Urban Atlas dataset, the mean tropospheric NO2 columns obtained from the measurements of the Sentinel-5 Precursor earth observation satellite, and annual mean NO2 surface concentrations measured by monitoring stations from the Air Quality e-Reporting dataset of the European Environment Agency (EEA).