Download this Paper Open PDF in Browser

Uncovering Correlations between Urban Road Network Centrality and Human Mobility

8 Pages Posted: 16 May 2017  

Ke Zhang

University of Pittsburgh

Li Geng

City University of New York (CUNY)

Konstantinos Pelechrinis

University of Pittsburgh

Date Written: May 15, 2017

Abstract

Urban planners have been long interested in understanding how urban structure and activities are mutually influenced. What are the forces that lead to the current patterns of road network and what is the influence of the latter’s structure on urban activities? Network centrality measures have been traditionally utilized to uncover the structural properties of urban street networks. In this paper we are interested in examining the correlation between the centrality of street network and the intensity of human movement in urban areas. We focus on two cities and we utilize a dataset of geo-tagged tweets that can form a proxy to urban mobility and the corresponding street networks as obtained from OpenStreetMap. Our results indicate that different centrality metrics have different levels of correlations with the intensity of human movement. Furthermore, the strength of the correlation varies in the two cities examined.

Keywords: Human Mobility, Urban Street Network, Network Centrality, OpenStreetMap

JEL Classification: O18, J60

Suggested Citation

Zhang, Ke and Geng, Li and Pelechrinis, Konstantinos, Uncovering Correlations between Urban Road Network Centrality and Human Mobility (May 15, 2017). Available at SSRN: https://ssrn.com/abstract=2968567 or http://dx.doi.org/10.2139/ssrn.2968567

Ke Zhang (Contact Author)

University of Pittsburgh ( email )

Pittsburgh, PA 15260
United States

Li Geng

City University of New York (CUNY) ( email )

695 Park Avenue
New York, NY 10021
United States

Konstantinos Pelechrinis

University of Pittsburgh ( email )

Pittsburgh, PA 15260
United States

Paper statistics

Downloads
28
Abstract Views
110