Questionnaire results underlying the publication: How flood risk management projects can improve urban resilience: A combined assessment approach of functional resilience and adaptive capacity

DOI:10.4121/c4a21770-e26b-40ee-ac58-e9ef4d1b3e7b.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/c4a21770-e26b-40ee-ac58-e9ef4d1b3e7b
Datacite citation style:
Kruijf, Joanne Vinke-de (2024): Questionnaire results underlying the publication: How flood risk management projects can improve urban resilience: A combined assessment approach of functional resilience and adaptive capacity. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c4a21770-e26b-40ee-ac58-e9ef4d1b3e7b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

University of Twente logo

Usage statistics

48
views
39
downloads

Geolocation

Christchurch, New Zealand

Time coverage

2019

Licence

CC0

Data underlying the publication: How flood risk management projects can improve urban resilience: A combined assessment approach of functional resilience and adaptive capacity


Creators:

Doornkamp, T.J.L.


Related publication:

Doornkamp, T.J.L., Vinke-de Kruijf, J., Pahlow, M., Matheson, D., 2024, Australasian Journal of Water Resources


Description:

Adaptive capacity of citizens was assessed through a door-to-door questionnaire with 260 citizens. The questionnaire targeted household members living in the project area with a minimum age of 18 years.

The survey data was analysed to determine the Dudley Creek Flood Remediation project's impact on the adaptive capacity of individuals by comparing scores of engaged versus non-engaged citizens.

History

  • 2024-07-18 first online, published, posted

Publisher

4TU.ResearchData

Format

pdf, xlsx

Organizations

University of Twente, Faculty of Engineering Technology (ET);
University of Canterbury, Faculty of Engineering, Christchurch, New Zealand

DATA

Files (3)