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Title: Assessing the relative importance of sustainability indicators for smart campuses : a case of higher education institutions in Nigeria
Authors: Adenle, YA 
Chan, EHW 
Sun, Y 
Chau, CK 
Issue Date: Feb-2021
Source: Environmental and sustainability indicators, Feb. 2021, v. 9, 100092
Abstract: The appraisal of educational institution campuses’ sustainability performance has been on the rise within the past decades. This appraisal is primarily due to the importance of establishing and executing planning policies targeted at designing smart, healthy, and sustainable campuses. In ensuring environmental sustainability for smart development in Nigeria tertiary institution campuses, allocating relative importance and weights to selected indicators was carried out via the analytic hierarchy process (AHP). The relevant indicators peculiar to Nigeria's higher education institutions were identified based on social media user-generated content. The AHP involves a pairwise comparison survey with 18 certified town planning professionals from different parts of the country. The study prioritized transportation as the most important sustainability attribute for planning the smart campuses of tertiary-level education institutions in Nigeria elsewhere with similar environments. The study proposed the development of a spatial data infrastructure for achieving the Africa smart city agenda.
Keywords: Campus sustainability assessment
Higher education institutions
Nigeria
Quality of life
Smart city
Publisher: Elsevier BV
Journal: Environmental and sustainability indicators 
EISSN: 2665-9727
DOI: 10.1016/j.indic.2020.100092
Rights: © 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Adenle, Y. A., Chan, E. H., Sun, Y., & Chau, C. K. (2021). Assessing the relative importance of sustainability indicators for smart campuses: A case of higher education institutions in Nigeria. Environmental and Sustainability Indicators, 9, 100092 is available at https://doi.org/10.1016/j.indic.2020.100092
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