Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh

This study explores transit-oriented development (TOD) in Dhaka City using optimization algorithms to provide urban planning and policy-making insights. The analysis examined the distribution of the TOD index values across the city and identified areas with varying levels of TOD potential. Two optim...

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Main Authors: Md. Anwar Uddin, Sumit Roy, Tahsin Tamanna, Rubayet Arafin Rimon
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/atr/5625483
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author Md. Anwar Uddin
Sumit Roy
Tahsin Tamanna
Rubayet Arafin Rimon
author_facet Md. Anwar Uddin
Sumit Roy
Tahsin Tamanna
Rubayet Arafin Rimon
author_sort Md. Anwar Uddin
collection DOAJ
description This study explores transit-oriented development (TOD) in Dhaka City using optimization algorithms to provide urban planning and policy-making insights. The analysis examined the distribution of the TOD index values across the city and identified areas with varying levels of TOD potential. Two optimization algorithms, ant colony optimization (ACO) and particle swarm optimization (PSO), were employed to assess and compare the TOD index values. The results highlight the significance of transit infrastructure in promoting sustainable urban development, particularly in proximity to existing mass rapid transit (MRT) lines. PSO is more suitable for this study among the optimization algorithms because it offers a more precise TOD potential assessment. The findings suggest prioritizing investments in transit infrastructure and implementing TOD-friendly policies to foster sustainable urban growth and improve residents’ quality of life. Future studies can benefit from optimizing the algorithm parameters and incorporating real-world data to improve the accuracy of the TOD assessments.
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institution Kabale University
issn 2042-3195
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publishDate 2025-01-01
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series Journal of Advanced Transportation
spelling doaj-art-ad8c2c5aff234f2a9e995d57fe6f9a712025-08-20T03:52:47ZengWileyJournal of Advanced Transportation2042-31952025-01-01202510.1155/atr/5625483Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, BangladeshMd. Anwar Uddin0Sumit Roy1Tahsin Tamanna2Rubayet Arafin Rimon3Military Institute of Science and TechnologyBangladesh University of Engineering and TechnologyMilitary Institute of Science and TechnologyRajshahi University of Engineering and TechnologyThis study explores transit-oriented development (TOD) in Dhaka City using optimization algorithms to provide urban planning and policy-making insights. The analysis examined the distribution of the TOD index values across the city and identified areas with varying levels of TOD potential. Two optimization algorithms, ant colony optimization (ACO) and particle swarm optimization (PSO), were employed to assess and compare the TOD index values. The results highlight the significance of transit infrastructure in promoting sustainable urban development, particularly in proximity to existing mass rapid transit (MRT) lines. PSO is more suitable for this study among the optimization algorithms because it offers a more precise TOD potential assessment. The findings suggest prioritizing investments in transit infrastructure and implementing TOD-friendly policies to foster sustainable urban growth and improve residents’ quality of life. Future studies can benefit from optimizing the algorithm parameters and incorporating real-world data to improve the accuracy of the TOD assessments.http://dx.doi.org/10.1155/atr/5625483
spellingShingle Md. Anwar Uddin
Sumit Roy
Tahsin Tamanna
Rubayet Arafin Rimon
Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh
Journal of Advanced Transportation
title Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh
title_full Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh
title_fullStr Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh
title_full_unstemmed Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh
title_short Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh
title_sort leveraging ant colony and particle swarm optimization algorithms for assessing the transit oriented development potential a case study of dhaka bangladesh
url http://dx.doi.org/10.1155/atr/5625483
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