{"id":25033,"date":"2025-03-27T22:59:44","date_gmt":"2025-03-27T15:59:44","guid":{"rendered":"https:\/\/trueblog.info\/blog\/?p=25033"},"modified":"2025-03-28T11:23:43","modified_gmt":"2025-03-28T04:23:43","slug":"dynamic-cities-2","status":"publish","type":"post","link":"https:\/\/www.true.th\/blog\/en\/dynamic-cities-2\/","title":{"rendered":"Do people shape the city, or does the city shape people?” For the first time in Thailand, mobility data is being used by True Corporation in collaboration with UddC to understand the lifestyles of people in four major cities across the country’s four regions."},"content":{"rendered":"

“Dynamic Cities via Mobility Data: Diverse Lives in Vibrant Cities” is the first project under Data Playground for Human Impacts, providing a collaborative space for individuals interested in using mobility data to create positive social, economic, and environmental impacts.<\/em><\/p>\n

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March 27, 2025<\/strong> \u2013 True Corporation utilizes mobility data collected from mobile phone usage and digital service platform interactions under strict personal data protection standards. The company is fostering collaboration with academic institutions, government agencies, and civil society organizations to unlock new possibilities for urban development and inform public policies that align with people’s behaviors.<\/p>\n

Today, True launched a partnership with the Urban Design and Development Center (UddC) at Chulalongkorn University under the project “Dynamic Cities via Mobility Data: Diverse Lives in Vibrant Cities.” By analyzing mobility data, the initiative seeks to understand the rhythm of urban life, raising new questions about the relationship between city structures and people\u2019s lifestyles. This collaboration ultimately aims to design more livable cities for everyone.<\/p>\n

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The study revealed fascinating insights into people\u2019s behaviors and urban dynamics across three key dimensions:<\/strong><\/h2>\n

1. Urban Space Dimension<\/strong>
\nMobility data provides a clear view of the primary spaces where people spend their daily lives of residential areas, workplaces, and spaces for leisure or social activities. By categorizing these spaces based on actual behavioral patterns in different cities, the study uncovers diverse regional lifestyles. This new perspective can guide urban planning and development to better reflect the complexities of real-life urban living.<\/p>\n

2. Time Dimension<\/strong>
\nThe data highlights disparities in time usage across cities, particularly in large metropolitan areas like Bangkok, where long commuting hours reduce time for rest and social activities. These differences in time allocation offer valuable insights for assessing quality of life and optimizing how people spend their time in various locations.<\/p>\n

3. Urban Behavior Dimension<\/strong>
\nWhen analyzed by age groups, the data reveals distinct lifestyle patterns across cities. For example, working-age individuals in Bangkok often travel long distances to the city center, whereas those in Chiang Mai and Hat Yai tend to stay within their local neighborhoods. Meanwhile, elderly populations generally remain within familiar areas. These insights emphasize the opportunity to design cities that cater to all generations, especially as aging societies continue to expand.<\/p>\n