000229138 001__ 229138
000229138 005__ 20190317000735.0
000229138 037__ $$aCONF
000229138 245__ $$aCalculating spatial urban sprawl indices using open data
000229138 269__ $$a2017
000229138 260__ $$c2017
000229138 336__ $$aConference Papers
000229138 520__ $$aUrban sprawl has been related to numerous negative environmental and socioeconomic impacts. Meanwhile, urban areas have been growing at alarming rates, urging for assessing sprawl towards sustainable development. However, sprawl is an elusive term and different approaches to measure it have lead to heterogeneous results. Moreover, most studies rely on pri-vate/commercial data-sets and their software is rarely made public, impeding research reproducibility and comparability. Furthermore, many works give as result a unique value for a region of analysis, dismissing local spatial diversity that is vital for urban planners and policy makers. We present in this paper an open source framework for assessing urban sprawl using open data. Locations of residential and activity units are used to measure mixed use development and built-up dispersion, whereas the street network is used to measure accessibility between different land uses. Sprawl patterns are identified, and the resulting spatial information allows focusing on particular neighborhoods for a fine-grained analysis, as well as visualizing each sprawl dimension separately.
000229138 700__ $$aGervasoni, Luciano
000229138 700__ $$aBosch, Martí
000229138 700__ $$aFenet, Serge
000229138 700__ $$aSturm, Peter
000229138 7112_ $$dJuly 11-14, 2017$$cAdelaide, Australia$$aThe 15th International Conference on Computers in Urban Planning and Urban Management
000229138 8564_ $$uhttps://hal.inria.fr/hal-01535469$$zURL
000229138 909C0 $$xU10250$$0252208$$pCEAT
000229138 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:229138$$pENAC
000229138 917Z8 $$x268597
000229138 937__ $$aEPFL-CONF-229138
000229138 973__ $$rREVIEWED$$sACCEPTED$$aOTHER
000229138 980__ $$aCONF