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Understanding Network Complexity from Open Street Maps

An illustration of network

Objective:

Analyze, project, and visualize transport network from OpenStreetMap

Keywords:

OpenStreetMap

Description:

Transport network can be understood from network science perspective, e.g., focusing on the topology, complexity, and resilience of the network. The project aims to develop a suite of indicators to describe and visualize network properties of the transport network. OpenStreetMap has become a major source of free and publicly available maps of the world through crowdsourcing. Therefore, this project will utilize OpenStreetMap as a case study to implement the algorithms above. Lastly, the project will also involve with projecting future transport network with the developed indicators.

References:

  • P. Corcoran, P. Mooney, M. Bertolotto (2013). Analyzing the growth of OpenStreetMap networks. Spatial Statistics, 3, 21-32.

  • Boeing, G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65, 126-139.

  • Wang, M., Chen, Z., Mu, L. & Zhang, X. (2020). Road network structure and ride-sharing accessibility: Evidence from a network science perspective. Computers, Environment and Urban Systems, 80, 101430. DOI: https://doi.org/10.1016/j.compenvurbsys.2019.101430

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