The role of travel demand and network centrality on the connectivity and resilience of an urban street system

Meisam Akbarzadeh (), Soroush Memarmontazerin, Sybil Derrible () and Sayed Farzin Salehi Reihani ()
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Meisam Akbarzadeh: Isfahan University of Technology
Soroush Memarmontazerin: Isfahan University of Technology
Sybil Derrible: University of Illinois at Chicago
Sayed Farzin Salehi Reihani: Isfahan University of Technology

Transportation, 2019, vol. 46, issue 4, No 3, 1127-1141

Abstract: Abstract In the transportation literature, two major and parallel approaches exist to identify the critical elements of a transportation system. On the one hand, conventional transportation engineering emphasizes travel demand, often in terms of traffic volume (i.e., demand side). On the other hand, newer techniques from Network Science emphasize network topology (i.e., supply side). To better understand the relationship between the two approaches, we first investigate whether they correlate by comparing traffic volume and node centrality. Second, we assess the impact of the two approaches on the connectivity and resilience of a transportation network; connectivity is measured by the relative size of the giant component, and resilience is measured by the network’s adaptive capacity (the amount of extra flow it can handle). The urban road system of Isfahan (Iran) is used as a practical case study. Overall, we find that traffic volume indeed correlates with node centrality. In addition, we find that the weighted degree of a node, i.e., the sum of the capacities of its incident links (for small disruptions) and node betweenness (for large disruptions), best captures node criticality. Nodes with high weighted degree and betweenness should therefore be given higher priority to enhance connectivity and resilience in urban street systems. Regarding link criticality, roads with higher capacities showed a more important role as opposed to betweenness, flow, and congestion.

Keywords: Centrality; Resilience; Giant Component; Adaptive Capacity (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (13)

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DOI: 10.1007/s11116-017-9814-y

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