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Plan quality characteristics of Local Climate Adaptation Plans in Europe

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DANS Data Station Social Sciences and Humanities2022-01-01 更新2026-05-11 收录
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https://ssh.datastations.nl/citation?persistentId=doi:10.17026/dans-xd6-w7pc
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资源简介:
This dataset contains information on the characteristics of Local Climate Adaptation Plans in Europe. A sample of 328 medium- to large-sized cities across the formerly EU-28 was investigated for the availability of Local Climate Plans and strategies on climate change adaptation. A set of 168 cities out of the 328 were identified to have at least one, if not more Local Climate Adaptation Plans. The contents of these plans were documented, using an elaborated framework combining indicators of state-of-the -art plan quality principles with indicators of justice/ equity theory. Used common plan quality principles are 1) Fact base - Climate change impact, risk and vulnerability assessment (related to risk, sectors, justice), 2) Adaptation goals (related to risk, quantitative); 3) Adaptation measures (distributed across 12 sectors, justice); 4) Implementation process (prioritization, responsibility, timeframe) tools (budget); 5) Monitoring evaluation (responsibility, timeframe, justice). Additionally to the information on these 5 plan quality principles information on the (potential) participation process, a communication strategy, the national and regional context, as well as with access information, access data, access type, and other meta data were retrieved and documented. The publication dates of the plans range from 2005 - 2020. The collection period ranges from March 2019 to June 2021, depending on the country and city, with the majority collected between May 2019 and June 2020.
提供机构:
O. Heidrich; A. Wejs; , Parque Científico UPV/EHU, Edificio Sede 1, Planta 1, Barrio Sarriena, S/n, 48940, Leioa, Spain); E. Feliu Torres; , Spain); . 45bis, Av de La Belle Gabrielle, F-94736, Nogent-sur-Marne, France); , Energy Science Unit, SE, 971 87, Luleå, Sweden); V. Viguié; M. Matosovic; , Unit on Resource Economics, Estrada da Portela, Bairro Do Zambujal Ap 7586, 2720-999, Amadora, Portugal); , University of Twente, The Netherlands); E. Krkoska Lorencová; H. Orru
创建时间:
2022-01-01
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