Affiliation:
1. Engineering Faculty, Transport and Telecommunication Institute, Lauvas 2, LV-1019 Riga, Latvia
Abstract
Nowadays, urban and suburban areas face increasing environmental pressures, and encouraging sustainable transportation behaviors at the household level has become crucial. This paper presents a model of a decision support system (DSS) for promoting sustainable household mobility choices in multi-modal transport networks. The system was modeled using an enhanced Petri Net approach, allowing for the dynamic representation of complex transport networks and multi-modal journey options. The model incorporated various sustainability factors. These were combined into a single environmental impact score, which was considered alongside travel time and cost in the route optimization process. Simulation results demonstrated the DSS’s capability to guide users toward more sustainable mobility choices. The model also showed potential as a tool for policymakers to assess the impact of various sustainable transportation initiatives and infrastructure investments. This paper discussed the versatile applications of the system. It also addressed the limitations of Petri Net models in transportation systems and suggested future research directions.
Reference48 articles.
1. Urban Quality of Life and Sociological Benefits of Sustainable Mobility;SCIENCE Int. J.,2023
2. Factors Affecting the Emission of Pollutants in Different Types of Transportation: A Literature Review;Aminzadegan;Energy Rep.,2022
3. Advancing Sustainable Urban Mobility: Insights from Best Practices and Case Studies;Papadakis;Fuel Commun.,2024
4. Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review;Kapp;ACM Comput. Surv.,2023
5. The Traditional Four Steps Transportation Modeling Using a Simplified Transport Network: A Case Study of Dhaka City, Bangladesh;Ahmed;Int. J. Adv. Sci. Eng. Technol. Res.,2012