How do Socioeconomic Characteristics Interact with Equity and Efficiency Considerations? An Analysis of Hurricane Disaster Relief Goods Provision

Horner, Mark W.; Widener, Michael J.

doi:10.1007/978-90-481-8572-6_20

Cited by 7 publications

(4 citation statements)

References 33 publications

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“…Horner et al initially described major considerations for planning hurricane disaster relief networks (Horner and Downs, 2007), moved to design policy-oriented spatial optimization models for distributing goods after a hurricane (Horner and Downs, 2010) and looked at the possible impacts of various distribution point location strategies on disadvantaged populations (Horner and Downs, 2008;Horner and Widener, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

A hierarchical approach to modeling hurricane disaster relief goods distribution

Widener

Horner

2011

Journal of Transport Geography

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Section: Literature Reviewmentioning

confidence: 99%

A hierarchical approach to modeling hurricane disaster relief goods distribution

Widener

Horner

2011

Journal of Transport Geography

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“…Green and Kolesar (24) discussed the successful applications of management science/operations research to improve police and firefighting resources. Horner and Widener (25) examined the issue of site selection of hurricane disaster relief facilities based on the tradeoff between equity and efficiency, using household income as a variable to measure populations' socioeconomic differences. Shan and Zhuang (26) also studied equity issues in government's financial resource allocation for risk mitigation against man-made disasters.…”

Section: Modeling Equity In Resource Allocationmentioning

confidence: 99%

Implementation of Equity in Resource Allocation for Regional Earthquake Risk Mitigation Using Two‐Stage Stochastic Programming

Zolfaghari

Peyghaleh

2015

Risk Analysis

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This article presents a new methodology to implement the concept of equity in regional earthquake risk mitigation programs using an optimization framework. It presents a framework that could be used by decisionmakers (government and authorities) to structure budget allocation strategy toward different seismic risk mitigation measures, i.e., structural retrofitting for different building structural types in different locations and planning horizons. A two-stage stochastic model is developed here to seek optimal mitigation measures based on minimizing mitigation expenditures, reconstruction expenditures, and especially large losses in highly seismically active countries. To consider fairness in the distribution of financial resources among different groups of people, the equity concept is incorporated using constraints in model formulation. These constraints limit inequity to the user-defined level to achieve the equity-efficiency tradeoff in the decision-making process. To present practical application of the proposed model, it is applied to a pilot area in Tehran, the capital city of Iran. Building stocks, structural vulnerability functions, and regional seismic hazard characteristics are incorporated to compile a probabilistic seismic risk model for the pilot area. Results illustrate the variation of mitigation expenditures by location and structural type for buildings. These expenditures are sensitive to the amount of available budget and equity consideration for the constant risk aversion. Most significantly, equity is more easily achieved if the budget is unlimited. Conversely, increasing equity where the budget is limited decreases the efficiency. The risk-return tradeoff, equity-reconstruction expenditures tradeoff, and variation of per-capita expected earthquake loss in different income classes are also presented.

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“…This model is useful in scenarios where goods need to be placed in optimal positions on a road network so residents may efficiently access them. Researchers have used variations of the p-median problem on topics ranging from the placement of relief facilities after a hurricane [31][32][33] to locating appropriate sites for retail stores 34 . The spatial optimization model used in this paper is an extension of the capacitated-median model, which extends the simpler p-median model by adding minimum and maximum capacity constraints and removing the constraint dictating that a fixed number of facilities be used to serve those with demand.…”

Section: Designing a Spatial Optimization Modelmentioning

confidence: 99%

Developing a Mobile Produce Distribution System for Low-Income Urban Residents in Food Deserts

2012

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Low-income households in the contemporary city often lack adequate access to healthy foods, like fresh produce, due to a variety of social and spatial barriers that result in neighborhoods being underserved by full-service supermarkets. Because of this, residents commonly resort to purchasing food at fast food restaurants or convenience stores with poor selections of produce. Research has shown that maintaining a healthy diet contributes to disease prevention and overall quality of life. This research seeks to increase low-income residents' access to healthy foods by addressing spatial constraints through the characterization of a mobile market distribution system model that serves in-need neighborhoods. The model optimally locates mobile markets based on the geographic distribution of these residents. Using data from the medium-sized city of Buffalo, New York, results show that, with relatively few resources, the model increases these residents' access to healthy foods, helping to create a healthier city.

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How do Socioeconomic Characteristics Interact with Equity and Efficiency Considerations? An Analysis of Hurricane Disaster Relief Goods Provision

Cited by 7 publications

References 33 publications

A hierarchical approach to modeling hurricane disaster relief goods distribution

A hierarchical approach to modeling hurricane disaster relief goods distribution

Implementation of Equity in Resource Allocation for Regional Earthquake Risk Mitigation Using Two‐Stage Stochastic Programming

Developing a Mobile Produce Distribution System for Low-Income Urban Residents in Food Deserts

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