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Uncovering Correlations Between Urban Road Network Centrality and Human Mobility

Yury Halavachou

Yury Halavachou

et

| 21 mai 2023

International Journal of Advanced Network, Monitoring and Controls's Cover Image

International Journal of Advanced Network, Monitoring and Controls

Édition 6 (2021): Edition 4 (January 2021)

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Publié en ligne: 21 mai 2023

Pages: 99 - 105

DOI: https://doi.org/10.21307/ijanmc-2021-039

Mots clés
Human Mobility, Urban Street Network, Network Centrality, OpenStreetMap

© 2021 Yury Halavachou et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Street network in selected urban areas of two cities

Street network in selected urban areas of two cities

Correlation ρ(*indicates a p-value<0.05; ** indicates p-value<0.01)between the street centrality and the intensity of human movement.

G_T	Pittsburgh		NYC
C	n_t,i	P_i	n_t,i	P_i
C^c_glob	0.610^**	0.604^**	0.509^**	0.505^**
C^b_glob	0.501^**	0.497^**	0.459^**	0.466^**
C^s_glob	0.021	0.020	0.078	0.074
C^c_local,d=800m	−0.223^**	−0.228^**	−0.085	−0.093
C^c_{local,d=1600m}	−0.043	−0.046	0.012	0.004
C^c_{local,d=2400m}	0.024	0.0189	−0.044	−0.047
C^b_local,d=800m	−0.001	−0.128^*	0.009	−0.127^*
C^b_{local,d=1600m}	0.017	0.026	−0.072	−0.070
C^b_{local,d=2400m}	0.106^*	0.112^*	−0.014	−0.014
C^s_local,d=800m	0.348^**	0.351^**	0.105^*	0.104^*
C^s_{local,d=1600m}	0.410^**	0.408^**	0.028	0.026
C^s_{local,d=2400m}	0.442^**	0.438^**	−0.031	−0.031

Correlation results by considering the road network as a directed network based on the accessibility of driving, biking and walking in either directions.

PageRank	driving		biking		walking
C	Pittsburgh	NYC	Pittsburgh	NYC	Pittsburgh	NYC
C^c_glob (in)	0.597^**	0.473^**	0.622^**	0.397^**	0.616^**	0.393^**
C^c_glob (out)	0.594^**	0.481^**	0.623^**	0.391^**	0.616^**	0.393^**
C^b_glob	0.481“	0.431^**	0.520^**	0.452^**	0.514^**	0.444^**
C^s_glob (in)	−0.053	0.061	0.200^**	0.301^**	0.212^**	0.313^**
C^s_glob (out)	−0.002	0.083	0.231^**	0.303^**	0.212^**	0.313^**
C^c_local,d=800m (in)	−0.253^**	−0.143^**	−0.250^**	−0.087	−0.241^**	0.042
C^c_local,d=800m (out)	−0.282^**	−0.142^**	−0.253^**	−0.069	−0.241^**	0.042
C^c_{local,d=1600m} (in)	−0.133^**	−0.170^*	−0.123^**	−0.117^*	0.103^*	−0.012
C^c_{local,d=1600m} (out)	−0.067	0.003	−0.103^*	−0.012	0.103^*	−0.012
C^c_{local,d=2400m} (in)	−0.053	−0.215^**	−0.024	−0.178^**	0.011	−0.078
C^c_{local,d=2400m} (out)	−0.039	−0.204^**	−0.077	−0.171^**	0.011	−0.078
C^b_local,d=800m	0.042	0.100^*	0.044	−0.066	0.041	−0.081
C^b_{local,d=1600m}	0.061	0.125^*	0.072	−0.035	0.062	−0.044
C^b_{local,d=2400m}	0.140^**	0.100^*	0.161^**	0.009	0.143^**	0.002
C^s_local,d=800m (in)	0.248^*	0.053	0.324^**	0.002	0.362^**	0.094
C^s_local,d=800m (out)	0.248^**	0.053	0.324^**	0.002	0.362^**	0.094
C^s_{local,d=1600m} (in)	0.306^**	0.046	0.363^**	−0.020	0.396^**	0.032
C^s_{local,d=1600m} (out)	0.306^**	0.046	0.363^**	−0.020	0.396^**	0.032
C^s_{local,d=2400m} (in)	0.349^**	0.003	0.386^**	−0.051	0.423^**	−0.023
C^s_{local,d=2400m} (out)	0.349^**	0.003	0.386^**	−0.051	0.423^**	−0.023

eISSN:: 2470-8038
Langue:: Anglais

Périodicité:: 4 fois par an
Sujets de la revue:: Computer Sciences, other

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