ArticleSustainable cities and society2019
Integrating social equity in highway maintenance and rehabilitation programming: A quantitative approach.
Article in Sustainable cities and society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Better road conditions for everyone can be a co-benefit of road maintenance.Scientific reports · 2026Article
- Development of an Equity Metric for Infrastructure Service Performance Assessment.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- A quantitative methodology for measuring the social sustainability of pavement deterioration.Scientific reports · 2024Article
- Social equity-based distribution networks design for the COVID-19 vaccine.International journal of production economics · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
With limited funds and an aging highway infrastructure network, agency decision-makers are tasked with making the most cost-effective decisions while accounting for the environment and social equity. Several studies have accounted for the economic and environmental considerations in infrastructure management decisions. However, there have been limited studies which have proposed quantitative approaches for integrating social equity as part of the highway Maintenance and Rehabilitation (M&R) decision-making process. To address this gap in the literature, this paper proposes four optimization models (corresponding to policies) for achieving social equity in highway M&R programming. The underlying rationales behind these models include combinations of egalitarian, utilitarian, socialism, and Rawlsian equity theories. The developed models were then implemented in a numerical case study consisting of a network of 500 pavement sections. The case study results were evaluated using average condition scores and adaptations of the
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Registered trials
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