Estimating pedestrian traffic using bike share data

  • Kelvin Balaoro Bartilad National Institute of Physics, University of the Philippines Diliman
  • Damian Dailisan National Institute of Physics, University of the Philippines Diliman
  • May Lim National Institute of Physics, University of the Philippines Diliman

Abstract

We present a method for estimating pedestrian movement using bike share data. The method involves counting instances of unique trips and using them to create a weighted road network. The weights represent road usage within the city which is expected to be representative of pedestrian density. It also provides possible routes taken by pedestrians and popular transport hubs within the city.

Published
2019-05-23
How to Cite
[1]
K. Bartilad, D. Dailisan, and M. Lim. Estimating pedestrian traffic using bike share data, Proceedings of the Samahang Pisika ng Pilipinas 37, SPP-2019-3F-02 (2019). URL: https://paperview.spp-online.org/proceedings/article/view/SPP-2019-3F-02.
Section
Complex Systems and Data Analytics