Selecting indicators for assessing neighbourhood sustainability: the Metropolitan Lagos workflow
Adewumi, Ayomikun Solomon ORCID: https://orcid.org/0000-0002-9883-2766 and Onyango, Vincent (2021) Selecting indicators for assessing neighbourhood sustainability: the Metropolitan Lagos workflow. European Scientific Journal, 17 (2). pp. 170-190. ISSN 1857-7881 (Print), 1857-7431 (Online) (doi:10.19044/esj.2021.v17n2p170)
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Abstract
Neighbourhood Sustainability Assessment Frameworks (NSAFs) are increasingly touted as crucial in planning and designing sustainable urban neighbourhoods. Ostensibly, NSAFs ensure that sustainability concerns are duly addressed following the recognition that neighbourhoods are key building blocks of urban areas. While the NSAF discourse has largely involved developed countries, the selection of appropriate indicators to use in an NSAF has remained a problem often because of little robust evidence to support the selected indicators. Also, as developing countries are largely absent in this discourse, this paper presents an exemplar approach and workflow for selecting NSAF indicators for a Sub-Saharan Africa (SSA) context. Positivist techniques (weighted average, co-efficiency of variation, and content validity in ratio) are used to rank the significance of the stakeholders’ indicated perceptions and preferences collected using questionnaire surveys from metropolitan Lagos. This paper’s significance lies in showcasing the robust methodological approach and sound evidence-base for selecting the indicators based on input form disparate stakeholders: including data requirements and workflow that SSA countries can easily adopt.
Item Type: | Article |
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Uncontrolled Keywords: | neighbourhood sustainability; assessment framework; indicators; Metropolitan Lagos; Sub-Saharan Africa |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography N Fine Arts > NA Architecture |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) |
Last Modified: | 30 Sep 2022 14:12 |
URI: | http://gala.gre.ac.uk/id/eprint/36719 |
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