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- W3049372119 abstract "Shrinking cities as a phenomenon expanding rapidly in the world have aroused great interest in China in recent years. Hegang is a city in the northeast China, which has been losing its population and almost finished depleting the existing mineral resources, accompanied by the surplus of land and buildings, and the decline in the quality of space. This chapter applies Data Augmented Design (DAD) in shrinking cities, aiming to search for solutions to these problems in a low-cost, operational, and resilient way. Based on the principle of actively responding to the urban shrinkage, this chapter embraces multisource data and methods in DAD to put forward a four-step research framework. First, we identify and analyze some national strategies that could be used to address problems in shrinking cities. Second, we identify some potential areas for design at the block scale and some abandoned buildings. Third, we divide these elements into different types according to five standards. Finally, to address existing problems, fine-scale design guidelines are proposed for different types of design elements. These guidelines are highly implementable and have been recognized and appreciated by planners from the local planning institute." @default.
- W3049372119 created "2020-08-21" @default.
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- W3049372119 date "2020-08-14" @default.
- W3049372119 modified "2023-09-26" @default.
- W3049372119 title "Fine-Scale Recognition-Based Design Guidelines for Dealing with Shrinking Cities: A Case Study of Hegang" @default.
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- W3049372119 doi "https://doi.org/10.1007/978-3-030-49618-0_6" @default.
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