Adaptive Planning in China: Research Progress, Implementation Effectiveness, and Future Prospects Based on Knowledge Mapping and Meta-Analysis
| dc.contributor.author | Mao, Yanyun | |
| dc.contributor.author | Zhuo, Jian | |
| dc.date.accessioned | 2024-11-27T11:04:41Z | |
| dc.date.available | 2024-11-27T11:04:41Z | |
| dc.date.issued | 2024 | en |
| dc.description | Game changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024 | en |
| dc.description.abstract | Adaptive planning aids in addressing nonlinear urban changes through dynamic adjustments. This study employs knowledge mapping and meta-analysis methods to examine the progress and effectiveness of adaptive planning research in China over the past two decades. The results indicate that China has focused on the application of adaptive planning in environmental areas, gradually expanding to territorial spatial planning. Key areas of focus include ecological protection, urban renewal, and transportation development. The overall effectiveness of adaptive planning implementation in China has been positive, though attention is needed on developing multiple alternative plans, enhancing community participation, and increasing long-term investment in adaptive processes. This study identifies adaptive issues and response strategies within the Chinese planning context, aiming to enrich the global research system of adaptive planning. Keywords: adaptive planning; Chinese practice; research progress; implementation effectiveness | |
| dc.description.version | published version | en |
| dc.identifier.isbn | 978-94-64981-82-7 | en |
| dc.identifier.pageNumber | 2430-2450 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14235/2222 | |
| dc.language.iso | English | en |
| dc.publisher | AESOP | en |
| dc.rights | openAccess | en |
| dc.rights.license | CC-BY | en |
| dc.source | Game changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024 | en |
| dc.title | Adaptive Planning in China: Research Progress, Implementation Effectiveness, and Future Prospects Based on Knowledge Mapping and Meta-Analysis | |
| dc.type | conferenceObject | en |
| dc.type.version | publishedVersion | en |