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dc.contributor.authorMathur, Ankur
dc.identifier.otherbibid: 10361577
dc.description.abstractIncomplete networks are those in which a road/intersection are unavailable to route through. Information centrality has been used to quantify the efficiency loss due to incompleteness. We propose a new topological method to quantify this by summing the excess distances one must travel. The new metric (SED) is found to be significantly correlated with IC across three representative networks. It is distributed Weibull and we provide a theoretical basis as to why. IC is distributed as a power law with varying exponents. The research then proposes several metrics to rank networks based on different policy questions. From the IC one can rank by the network’s inherent inequity. From the SED, one can rank per median/modal SED, percentage of most susceptible nodes, and excess CO2 emitted. Finally, we propose how SED can be helpful in location setting and theorize the existence of a trade-off between SED and the network’s operating cost.
dc.subjectCivil engineering
dc.subjectinformation centrality
dc.subjectquantifying inconvenience
dc.subjecturban network ranking
dc.subjecturban policy
dc.subjecturban street networks
dc.subjectWeibull distribution
dc.subjectUrban planning
dc.titleQuantifying Inconvenience in Incomplete Urban Street Networks: A New Metric
dc.typedissertation or thesis and Environmental Engineering University of Science, Civil and Environmental Engineering
dc.contributor.chairGao, Huaizhu
dc.contributor.committeeMemberSamaranayake, Samitha

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