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On the use of random graphs in analysing resource utilization in urban systems.


ABSTRACT: Urban resource models increasingly rely on implicit network formulations. Resource consumption behaviours documented in the existing empirical studies are ultimately by-products of the network abstractions underlying these models. Here, we present an analytical formulation and examination of a generic demand-driven network model that accounts for the effectiveness of resource utilization and its implications for policy levers in addressing resource management in cities. We establish simple limiting boundaries to systems' resource effectiveness. These limits are found not to be a function of system size and to be simply determined by the system's average ability to maintain resource quality through its transformation processes. We also show that resource utilization in itself does not enjoy considerable size efficiencies with larger and more diverse systems only offering increased chances of finding matching demand and supply between existing sectors in the system.

SUBMITTER: Arbabi H 

PROVIDER: S-EPMC7211871 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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On the use of random graphs in analysing resource utilization in urban systems.

Arbabi Hadi H   Punzo Giuliano G   Meyers Gregory G   Tan Ling Min LM   Li Qianqian Q   Densley Tingley Danielle D   Mayfield Martin M  

Royal Society open science 20200415 4


Urban resource models increasingly rely on implicit network formulations. Resource consumption behaviours documented in the existing empirical studies are ultimately by-products of the network abstractions underlying these models. Here, we present an analytical formulation and examination of a generic demand-driven network model that accounts for the effectiveness of resource utilization and its implications for policy levers in addressing resource management in cities. We establish simple limit  ...[more]

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