Lachance-Bernard, NicolasProduit, TimotheeTominc, BibaNiksic, MatejMarusic, Barbara Golicnik2013-02-272013-02-272013-02-27201110.1007/978-3-642-21887-3_11https://infoscience.epfl.ch/handle/20.500.14299/89827WOS:000305899600011This paper presents a methodology that use volunteered geographic information (VGI), cyclist GPS tracking and Open Street Map network, with network based kernel density estimation. It investigates optimal location for cycle paths and lanes development. Recently completed research provides cycling data for Ljubljana, Slovenia. It was conducted over two years and was commissioned by the Municipality of Ljubljana. The methodology combines and adapts these VGI data and is mainly based on open source software. It handles large datasets with multiscale perspectives. This methodology should help planners to find and to develop suitable facility locations corresponding to current user behaviors.Network based kernel density estimation (NetKDE)Volunteered geographic information (VGI)GPS TrackingUrban planningUrban designPublic participationBicycleCyclingtext::conference output::conference proceedings::conference paper