Network based Kernel Density Estimation for Cycling Facilities Optimal Location Applied to Ljubljana

  • Nicolas Lachance-Bernard
  • Timothée Produit
  • Biba Tominc
  • Matej Nikšič
  • Barbara Goličnik Marušić
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6783)

Abstract

This 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.

Keywords

Network based kernel density estimation (NetKDE) Volunteered geographic information (VGI) GPS Tracking Urban planning Urban design Public participation Bicycle Cycling 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Nicolas Lachance-Bernard
    • 1
  • Timothée Produit
    • 1
  • Biba Tominc
    • 2
  • Matej Nikšič
    • 2
  • Barbara Goličnik Marušić
    • 2
  1. 1.Laboratory of Geographic Information SystemsEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
  2. 2.Urban Planning Institute of the Republic of SloveniaLjubljanaSlovenia

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