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Benchmarking Multi-Platform APIs and Fuzzy-AHP for Enhanced HAZMAT Emergency Logistics: A Case Study of Bangkok’s Expressway Network

Author

Listed:
  • Wipaporn Kitthiphovanonth

    (Faculty of Public Health, Thammasat University, Klong Luang, Pathumthani 12121, Thailand)

  • Chalermchai Chaikittiporn

    (Faculty of Public Health, Thammasat University, Klong Luang, Pathumthani 12121, Thailand)

  • Arroon Ketsakorn

    (Faculty of Public Health, Thammasat University, Klong Luang, Pathumthani 12121, Thailand)

  • Korn Puangnak

    (Faculty of Engineering, Rajamangala University of Technology, Phra Nakhon, Dusit District, Bangkok 10300, Thailand)

Abstract

Background : To address the critical challenges of hazardous material (HAZMAT) incidents in dense urban areas, this study develops a hybrid framework for spatial emergency response optimization tailored for Intelligent Transport Systems (ITSs). Methods : Our approach integrates the Fuzzy Analytic Hierarchy Process (FAHP) with a rigorous technical benchmarking of multiple navigation APIs to improve routing decisions under volatile Bangkok traffic. By employing a normalized cost function (scale 0–1), we evaluated the performance of localized (Longdo Map) versus global (Google Maps and OpenStreetMap) platforms across day and night scenarios. Results : Experimental results, yielding normalized costs between 0.464 and 0.748, identified Bon Kai as the optimal response node, whereas Chan Road showed the lowest efficiency. Interestingly, OpenStreetMap provided the highest temporal consistency for emergency logistics. Conclusions : These findings offer a practical decision-support tool for authorities, proving that integrated API assessment is essential for building resilient and responsive urban mobility infrastructures.

Suggested Citation

  • Wipaporn Kitthiphovanonth & Chalermchai Chaikittiporn & Arroon Ketsakorn & Korn Puangnak, 2026. "Benchmarking Multi-Platform APIs and Fuzzy-AHP for Enhanced HAZMAT Emergency Logistics: A Case Study of Bangkok’s Expressway Network," Logistics, MDPI, vol. 10(5), pages 1-16, April.
    • Handle: RePEc:gam:jlogis:v:10:y:2026:i:5:p:95-:d:1927478
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