A dataset of community perspectives on living conditions and disaster risk management in informal settlements: A case study in KwaZulu-Natal Province, South Africa

被引:0
|
作者
Georgiadoua, Maria Christina [1 ]
Gyamfib, Doreen [2 ]
Hirmerc, Stephanie [3 ]
Loggia, Claudia [4 ]
机构
[1] Univ Westminster, Sch Appl Management, Westminster Business Sch, 35 Marylebone Rd, London NW1 5LS, England
[2] Univ Westminster, Comp Sci & Engn, 309 Regent St, London W1B 2HW, England
[3] Univ Oxford, Dept Engn Sci, Energy & Power Grp, Oxford, England
[4] Univ KwaZulu Natal, Sch Built Environm & Dev Studies, Housing Programme, Durban, South Africa
来源
DATA IN BRIEF | 2024年 / 52卷
关键词
Disaster impacts; Education; Income analysis; Informal dwellers; Living standards; Resource management; Social education;
D O I
10.1016/j.dib.2023.109847
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This article describes a dataset of community perspectives on living conditions and disaster risk management in Khan Road, a nonserviced informal settlement, located in Pieter-maritzburg, the capital of KwaZulu-Natal province in South Africa. The data were collected by local community re-searchers via a structured questionnaire of 159 informal dwellers conducted between August and September 2022, using mobile phones via KoboToolbox. The dataset was anal-ysed using exploratory data analysis (EDA) techniques. This household survey is part of a research project aiming to de-velop an evidence base of opportunities, risks and vulner-abilities related to housing construction and resource management in incremental upgrading of informal settlements in South Africa. This dataset can be used by local practi-tioners and policymakers involved in decision-making for in-formal settlement upgrading and help them prioritise re- sources and upgrading interventions based on what informal dwellers need. Furthermore, this cleaned dataset could support the analysis of further South African data guiding the development of digital platforms as a realtime resource management tool or guide the enhancement of existing theoretical frameworks in the field of participatory design and co-production used by academic scholars.(c) 2023 The Authors. Published by Elsevier Inc.
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页数:11
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