Urban Ecosystem Vulnerability Assessment of Support Climate-Resilient City Development
Bibliographic Data
| ID | 22018181 |
|---|---|
| Authors | Zipan Cai (0000-0001-7219-2222, KTH Royal Institute of Technology), Jessica Page (0000-0002-5925-019X, Stockholm University), Vladimir Cvetkovic (0000-0002-5665-747X, KTH Royal Institute of Technology) |
| Year | 2021 |
| Volume | 6 |
| Issue | 3 |
| Pages | 227-239 |
| Publication date | 2021-08-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Planning (JOURNAL) |
| Journal identifiers | ISSN: 2183-7635 • E-ISSN: 2183-7635 |
| Publisher | Cogitatio (PUBLISHER • PT) |
| DOI | 10.17645/up.v6i3.4208 |
| OpenAlex | W3193697636 |
| Language | EN |
| Citations received | 8 |
| References cited | 32 |
Climate change poses a threat to cities. Geospatial information and communication technology (Geo-ICT) assisted planning is increasingly being utilised to foster urban sustainability and adaptability to climate change. To fill the theoretical and practical gaps of urban adaptive planning and Geo-ICT implementation, this article presents an urban ecosystem vulnerability assessment approach using integrated socio-ecological modelling. The application of the Geo-ICT method is demonstrated in a specific case study of climate-resilient city development in Nanjing (China), aiming at helping city decision-makers understand the general geographic data processing and policy revision processes in response to hypothetical future disruptions and pressures on urban social, economic, and environmental systems. Ideally, the conceptual framework of the climate-resilient city transition proposed in this study effectively integrates the geographic data analysis, policy modification, and participatory planning. In the process of model building, we put forward the index system of urban ecosystem vulnerability assessment and use the assessment result as input data for the socio-ecological model. As a result, the model reveals the interaction processes of local land use, economy, and environment, further generating an evolving state of future land use in the studied city. The findings of this study demonstrate that socio-ecological modelling can provide guidance in adjusting the human-land interaction and climate-resilient city development from the perspective of macro policy. The decision support using urban ecosystem vulnerability assessment and quantitative system modelling can be useful for urban development under a variety of environmental change scenarios
Civil engineering · Climate change · Environmental planning · Environmental resource management · Geography · Geospatial analysis · Land use · Psychological resilience · Sustainability · Urban ecosystem · Urban planning · Urban resilience · Vulnerability assessment · Climate change impacts on agriculture · Computer Science · Engineering · Environmental Science · Land Use and Ecosystem Services · Remote Sensing and Land Use · Ecology
Integrating resilience and sustainability
Smart Urban Governance for Climate Change Adaptation
Are cities genuinely healthy? Diagnosis of urban development from the perspective of adaptive capacity
Evolving from Rules to Learning in Urban Modeling and Planning Support Systems
Land use and environmental impacts
Climate-proofing cities
Bibliometric analysis and global research trends of climate change and cities studies for 30 years (1990–2021)
Urban spatial dynamic modeling based on urban amenity data to inform smart city planning
Urban heat island effect
Spatial dynamic modelling for urban scenario planning
Exploring ecosystem-based adaptation in Durban, South Africa
Urban Climate Adaptation in the Global South
A diagnostic tool for supporting policymaking on urban resilience
Achieving smart sustainable cities with GeoICT support
Urban land expansion and the transitional mechanisms in Nanjing, China
Climate change and urbanization in the Yangtze River Delta
Understanding interactions between urban development policies and GHG emissions
Climate change and the city
Planning the resilient city
Building a Conceptual Framework
| Unique citing works | 8 |
|---|---|
| Citations per year | 1,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |