Optimal policies for greenhouse gas emission minimization under multiple agency budget constraints in pavement management

Jinwoo Lee, Samer Madanat

    Research output: Contribution to journalArticle

    Abstract

    Greenhouse gas emissions reduction has garnered special importance in recent times in the transportation sector, including pavement design and management. In this study, we incorporate this environmental objective in pavement management. We present an optimization problem to minimize GHG emissions under multiple budget constraints by determining joint management strategies for a range of heterogeneous interventions, including maintenance, rehabilitation and reconstruction. We propose a computationally efficient bottom-up solution algorithm, which is built on Lagrangian Relaxation and Dynamic Programming. Finally, we apply our findings to a real-world highway network in California, where the results show a potential GHG emissions reduction of 20% through an increased combined budget of 35% on the Pareto frontier.

    Original languageEnglish (US)
    Pages (from-to)39-50
    Number of pages12
    JournalTransportation Research Part D: Transport and Environment
    Volume55
    DOIs
    StatePublished - Aug 1 2017

    Fingerprint

    Gas emissions
    pavement
    Greenhouse gases
    Pavements
    budget
    greenhouse gas
    management
    Reconstruction (structural)
    Dynamic programming
    Patient rehabilitation
    rehabilitation
    reconstruction
    programming
    road
    policy
    emission reduction

    Keywords

    • Budget constraints
    • Greenhouse gas emissions
    • Pavement management systems

    ASJC Scopus subject areas

    • Transportation
    • Environmental Science(all)

    Cite this

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