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Locating carbon neutral mobility hubs using artificial intelligence techniques.

Madiha Bencekri1, Sion Kim1, Yee Van Fan2,3

  • 1Department of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, Republic of Korea.

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|May 29, 2024
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Summary
This summary is machine-generated.

This study introduces a three-tier AI system for optimal carbon-neutral mobility hub placement. The AI approach significantly reduced daily vehicle travel, offering substantial cost savings and supporting sustainable development.

Keywords:
Ensemble methodsGenetic algorithmHub location problemMobility hubSustainable transportation

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Area of Science:

  • Urban Planning
  • Artificial Intelligence
  • Environmental Science

Background:

  • Growing need for sustainable transportation solutions.
  • Challenges in optimizing the placement of mobility hubs.
  • Importance of integrating environmental and economic factors in planning.

Purpose of the Study:

  • To propose a novel AI-based scheme for allocating carbon-neutral mobility hubs.
  • To optimize site selection considering travel times, emissions, and suitability factors.
  • To evaluate the environmental and economic impacts of the proposed mobility hubs.

Main Methods:

  • Utilized a genetic algorithm for initial site identification and travel time optimization.
  • Employed an Ensemble-based suitability analysis incorporating land use, population/employment density, and transit proximity.
  • Applied a traffic assignment model to assess environmental (reduced VKT) and economic impacts (cost savings).

Main Results:

  • Genetic algorithm achieved a fitness value of 77,000,000.
  • Ensemble model showed high predictive accuracy (95% R-squared training, 53% testing).
  • Identified hub sites reduced daily vehicle travel by 771,074 km, yielding $225.5 million in annual savings.

Conclusions:

  • The three-tier AI scheme effectively identifies optimal sites for carbon-neutral mobility hubs.
  • The approach significantly contributes to sustainable development goals (SDG 11 and 9) in transportation planning.
  • This framework offers a comprehensive method for planning sustainable mobility hubs with measurable benefits.