Road Safety Management in Bangkok Metropolitan Area Using Big Data
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Abstract
This research article consisted of following obstacles: 1) to analyze the success factors in road safety management in Bangkok using Big Data; 2) to examine the impacts of applying Big Data in road safety management in Bangkok; and (3) to propose recommendations for improving road safety management using Big Data. This qualitative research collected data from 26 key informants, including executives and staff from the Ministry of Transport, the Bangkok Metropolitan Administration’s Traffic and Transport Department, traffic police officers, data analysts, representatives from civil society organizations, academics and experts, as well as road users. Participants were selected through purposive sampling. Data were collected through interviews and analyzed using descriptive summarization.
The findings revealed that 1) The success factors for road safety management using Big Data include analyzing risky behaviors, identifying hazardous locations, implementing preventive measures, integrating data from multiple agencies for accuracy and responsiveness, having supportive policies and legislation, developing data storage and technological systems, and ensuring public participation; 2) The impact of applying Big Data in road safety management was found to improve management efficiency, reduce accidents and economic losses, and optimize resource use, although challenges remain regarding data quality and technical personnel shortages; and 3) Recommendations for improvement include developing supporting Big Data technologies, ensuring personal data protection, and investing in personnel and infrastructure development to enhance system efficiency and sustainably reduce road accidents.
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