Data-Based Analysis of Environmental Attractiveness towards Low-Carbon Development in Seaside Cities

Data-based technologies have been implemented in urban planning projects and environmental sciences. However, in the field of the environmental attractiveness analysis of seaside urban space, these technologies have not been fully studied. This paper critically assesses the attractiveness using data-based technologies with a focus on Chinese seaside cities’ low-carbon development. The analysis addresses the research question: How to use data-based technologies and their instruments to analyze environmental attractiveness of seaside cities towards low-carbon development? Methodologies include a case study of Dalian (China), field investigation, observation, and heatmapping. Results indicate that data-based technologies can support analysis of behavior and activity interests of inhabitants, as well as heatmapping with attractiveness consideration. The results provide a rational foundation for decision making during urban planning of seaside cities. Findings include insights and principles of planning seaside urban areas for smart sustainable development.

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