Operational strategies for a sustainable eco-friendly public transportation system: A comparative evaluation using traffic and emission microsimulation models
Document Type
Journal Article
Publication Date
2025
Subject Area
place - urban, mode - mass transit, mode - bus rapid transit, mode - tram/light rail, policy - congestion, policy - sustainable, planning - methods, operations, technology - emissions
Keywords
Super bus rapid transit (S-BRT), Sustainability analysis, Economic and environmental costs, Eco-friendly public transportation system, Public transportation operational strategy
Abstract
For carbon neutrality and alleviation of traffic congestion, large cities are considering the eco-friendly public transportation. While many researches have studied on selecting modes suitable for large cities, there is a lack of detailed comparative analysis of various operational strategies for different public transportation modes. It is essential to focus not only on comparing different public transportation modes but also on the operational strategies and methods that can be applied in various ways. This study assesses the sustainability of various operational strategies for eco-friendly modes by using economic, social, and environmental factors, utilizing the integrated approach with VISSIM and VisVAP for accurate simulation and analysis. We propose new public transportation modes and determine the most efficient operational strategies for implementing effective mass transit systems in cities. This methodology is validated by modeling the road conditions of large cities with heavy traffic. The findings indicate that the super BRT3 dedicated mode operated in a one-way configuration, combined with various strategies, is superior to trams.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Lee, H., Ko, S., Lee, J., & Yu, J. W. (2025). Operational strategies for a sustainable eco-friendly public transportation system: A comparative evaluation using traffic and emission microsimulation models. Research in Transportation Business & Management, 62, 101452.

Comments
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