| dc.description.abstract | Similar to other developing countries, cities in Vietnam have been experiencing rapid urbanization over the past few decades. This rise in urbanization has caused cities to face many issues, including resource scarcity, insufficient infrastructure, energy shortages, and human health issues. These challenges have increased the pressure on urban planning and governance to make changes that will allow cities to become livable. Since all human activities are linked to transportation systems in various ways, the transportation system is the key component of sustainable development. The implication here is that if the transportation infrastructure is smart, the sustainability of these cities can be improved. Smart transportation can be seen as a mechanism to improve safety, mitigate congestion, reduce transportation costs, and preserve the environment. Through the integration of information and communication technologies into transportation and administration, many modern cities are transitioning into the digital age. The development of smart transportation is becoming popular in major cities around the world, including Vietnam.
This research process began with a SWOT analysis to provide an overview of smart transportation development in Vietnam based on the assessment of three of the five most prominent cities in Vietnam (Ho Chi Minh, Can Tho, Da Nang). Then, to increase the efficiency of public transportation in the context of smart transportation development, Structural Equation Modeling was used to identify the key factors affecting the intention of using the smart transportation system—a case study in Can Tho City, Vietnam. By Rough set-based ranking and association rules approach, the most significant factors affecting smart transportation development were identified. This study aimed to evaluate the possibility of smart transportation implementation in Vietnamese cities, followed by a discussion of how smart transportation can be deployed in Vietnamese cities.
The outcomes from this study hold important lessons for cities looking to implement smart transportation by outlining the key insights on the factors affecting the process of development of smart transportation and examining the complex relationship between the success of the deployment of smart transportation and the multitude of attributes, including infrastructure systems, policies, and actors.
Keywords: Smart transportation, Rough set theory, SWOT analysis, Structural Equation Modeling, Association rule, developing country. | en_US |