Analyzing Transport Policies in Developing Countries with ABM

Kathleen Salazar-Serna, Lorena Cadavid, Carlos Franco
4/30/2024
cs.MA

No official code found. Best implementation: Kathleenss/ANNSIM2024-Supplementary-material (2 stars, last commit 2024-06-03).

Abstract

Deciphering travel behavior and mode choices is a critical aspect of effective urban transportation system management, particularly in developing countries where unique socio-economic and cultural conditions complicate decision-making. Agent-based simulations offer a valuable tool for modeling transportation systems, enabling a nuanced understanding and policy impact evaluation. This work aims to shed light on the effects of transport policies and analyzes travel behavior by simulating agents making mode choices for their daily commutes. Agents gather information from the environment and their social network to assess the optimal transport option based on personal satisfaction criteria. Our findings, stemming from simulating a free-fare policy for public transit in a developing-country city, reveal a significant influence on decision-making, fostering public service use while positively influencing pollution levels, accident rates, and travel speed.

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Code Implementations(1)

Kathleenss/ANNSIM2024-Supplementary-materialCommunity100%

Supplementary material for the paper: Analyzing Transport Policies in Developing Countries with ABM

20Mar 20, 20242 years ago

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Cite this paper

@article{salazarserna2024analyzing,
  title  = {Analyzing Transport Policies in Developing Countries with ABM},
  author = {Kathleen Salazar-Serna and Lorena Cadavid and Carlos Franco},
  year   = {2024},
  eprint = {2404.19745},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.19745v1}
}

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