Optimization Model for Earthwork Allocations Considering the Construction of Multiple Haul Roads: GIS-Based Integrated Approach

An essential process in earthworks is projecting effective routes for material allocation. In highway construction, haul road planning is a challenge for practitioners once there are few consolidated methodologies to rationally select existing haul routes or construct new ones. Some authors indicated geographic information system (GIS)-based methods for routing through least-cost algorithms. However, most proposed methodologies overlook the logistics related to allocations, not considering supply–demand relations in their criteria. Consequently, through a case study in Brazil, the authors present an earthwork optimization system that integrated established mathematical programming techniques for allocation and a GIS-based algorithm for haul road construction. In summary, the authors formulated a model capable of selecting different routes based on their impact on earthworks logistics cost. Thus, the authors built several paths between source and demand points utilizing two methods. First, based on recent literature, the authors used a GIS-based least-cost algorithm using the measuring attractiveness by a categorical-based evaluation technique (MACBETH) as a multicriteria support system incorporating multiple economic and environmental parameters. Second, the authors built routes based on Euclidian distance between the same source and demand points, analyzing if the savings in operational costs would payoff additional expenses of choosing a shorter route. After applying their methodology to the case study, the authors observed that the proposed procedure presented a lower budget in a reasonable processing time compared with the original project. Therefore, the authors inferred that the strategy of proposing path alternatives can be significantly efficient when applied to highways. Based on the results, the authors also found opportunities for improvement of their GIS step once it generated long paths when the distance between source and demand was short.

• Record URL:
  • https://doi.org/10.1061/JCEMD4.COENG-13922
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8675438
• Supplemental Notes:
  • © 2024 American Society of Civil Engineers.
• Authors:
  • Pinheiro Santos Fernandes, Pedro Guilherme
  • Elias Arantes, Arielle
  • Ferreira Nobre Júnior, Ernesto
• Publication Date: 2024-4

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 05024001
• Serial:
  • Journal of Construction Engineering and Management
  • Volume: 150
  • Issue Number: 4
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9364
  • EISSN: 1943-7862
  • Serial URL: http://ascelibrary.org/journal/jcemd4

Subject/Index Terms

• TRT Terms: Earthwork; Geographic information systems; Haul roads; Optimization; Road construction; Routes and routing
• Geographic Terms: Brazil
• Subject Areas: Construction; Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01911448
• Record Type: Publication
• Files: TRIS, ASCE
• Created Date: Mar 11 2024 3:56PM