A framework for evaluating urban land use mix from crowd-sourcing data - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2016

A framework for evaluating urban land use mix from crowd-sourcing data

Abstract

Population in urban areas has been increasing at an alarming rate in the last decades. This evidence, together with the rising availability of massive data from cities, has motivated research on sustainable urban development. In this paper we present a GIS-based land use mix analysis framework to help urban planners to compute indices for mixed uses development, which may be helpful towards developing sustainable cities. Residential and activities land uses are extracted using OpenStreetMap crowd-sourcing data. Kernel density estimation is performed for these land uses, and then used to compute the mixed uses indices. The framework is applied to several cities, analyzing the land use mix output.
Fichier principal
Vignette du fichier
PID4567469.pdf (15.45 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01396792 , version 1 (15-11-2016)

Identifiers

Cite

Luciano Gervasoni, Martí Bosch, Serge Fenet, Peter Sturm. A framework for evaluating urban land use mix from crowd-sourcing data. 2nd International Workshop on Big Data for Sustainable Development, Dec 2016, Washington DC, United States. pp.2147-2156, ⟨10.1109/BigData.2016.7840844⟩. ⟨hal-01396792⟩
708 View
549 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More