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<p>Civil infrastructures are crucial for modern societies, yet they may negatively impact sustainability. The adverse impacts of linear infrastructures such as highways can be even more pronounced. One of the critical aspects of highways that affect sustainability is their horizontal alignment, which must be optimized to decrease their negative impact on their surroundings. This study presents a framework based on the Envision sustainability rating system, Nondominated Sorting Genetic Algorithm II (NSGA-II), and Geographic Information System (GIS) that facilitates considerations of sustainability principles in addition to construction costs in highway alignment design. To this end, in this study, an Envision-based sustainability violation objective function was developed and embedded into NSGA-II alongside the construction cost objective. A combination of the Douglas-Pucker line simplification algorithm (DPA) and Least-cost path analysis (LCPA) was used to generate initial solutions and set up the optimization algorithm considering the problem’s context. Then, considering three sample criteria from Envision, associated with land use, the framework was applied to a case study in three scenarios, and then their results were compared. These comparisons demonstrate that the Envision sustainability rating system can be used for highway alignment optimization with appropriate adjustments. This approach decreases the complexity of considering multiple sustainability criteria.</p>

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Designing highway horizontal alignment considering construction cost and land use sustainability using the Envision rating system and NSGA-II

  • 期刊论文

  • 发表日期：

    2025年2月28日

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  • Sina Allahyari,
  • Seyed Hossein Hosseini Nourzad

摘要

Civil infrastructures are crucial for modern societies, yet they may negatively impact sustainability. The adverse impacts of linear infrastructures such as highways can be even more pronounced. One of the critical aspects of highways that affect sustainability is their horizontal alignment, which must be optimized to decrease their negative impact on their surroundings. This study presents a framework based on the Envision sustainability rating system, Nondominated Sorting Genetic Algorithm II (NSGA-II), and Geographic Information System (GIS) that facilitates considerations of sustainability principles in addition to construction costs in highway alignment design. To this end, in this study, an Envision-based sustainability violation objective function was developed and embedded into NSGA-II alongside the construction cost objective. A combination of the Douglas-Pucker line simplification algorithm (DPA) and Least-cost path analysis (LCPA) was used to generate initial solutions and set up the optimization algorithm considering the problem’s context. Then, considering three sample criteria from Envision, associated with land use, the framework was applied to a case study in three scenarios, and then their results were compared. These comparisons demonstrate that the Envision sustainability rating system can be used for highway alignment optimization with appropriate adjustments. This approach decreases the complexity of considering multiple sustainability criteria.