Drinking water accessibility typologies in low- and middle-income countries
We present a data-driven typology framework for understanding patterns in drinking water accessibility across low- and middle-income countries. Further, we obtain novel typology-specific insights regarding the relationships between possible explanatory variables and typology outcomes. First, we cond...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2023-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/acb662 |
| _version_ | 1797747372168577024 |
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| author | Hichul Chung Emily Kumpel Jimi Oke |
| author_facet | Hichul Chung Emily Kumpel Jimi Oke |
| author_sort | Hichul Chung |
| collection | DOAJ |
| description | We present a data-driven typology framework for understanding patterns in drinking water accessibility across low- and middle-income countries. Further, we obtain novel typology-specific insights regarding the relationships between possible explanatory variables and typology outcomes. First, we conducted exploratory factor analysis to obtain a smaller set of interpretable factors from the initial set of 17 drinking water accessibility indicators from 73 countries. The resulting seven factors summarize the key drivers for water accessibility, and also serve as a vehicle for framing discussions on country outcomes. We clustered the countries based on their seven-dimensional water accessibility factor scores, referring to the resulting three clusters as ‘typologies,’ namely, Decentralized , Centralized and Hybrid . The typologies serve as a vehicle for analyzing water accessibility among countries with similar patterns, in contrast with geographically-based approaches. Finally, we fitted a decision tree classifier to analyze relationships between a country’s typology membership and socioeconomic, geographic and transportation explanatory variables. We found that private car ownership, population density and per-capita gross domestic product are most relevant in predicting a country’s drinking water accessibility typology. |
| first_indexed | 2024-03-12T15:50:48Z |
| format | Article |
| id | doaj.art-4dc54cf605ea4a6089cdf779094ef8c5 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:50:48Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-4dc54cf605ea4a6089cdf779094ef8c52023-08-09T15:13:04ZengIOP PublishingEnvironmental Research Letters1748-93262023-01-0118202500910.1088/1748-9326/acb662Drinking water accessibility typologies in low- and middle-income countriesHichul Chung0Emily Kumpel1https://orcid.org/0000-0003-0138-8441Jimi Oke2https://orcid.org/0000-0001-6610-445XDepartment of Mechanical and Industrial Engineering, University of Massachusetts , Amherst, MA, United States of AmericaDepartment of Civil and Environmental Engineering, University of Massachusetts , Amherst, MA, United States of AmericaDepartment of Civil and Environmental Engineering, University of Massachusetts , Amherst, MA, United States of AmericaWe present a data-driven typology framework for understanding patterns in drinking water accessibility across low- and middle-income countries. Further, we obtain novel typology-specific insights regarding the relationships between possible explanatory variables and typology outcomes. First, we conducted exploratory factor analysis to obtain a smaller set of interpretable factors from the initial set of 17 drinking water accessibility indicators from 73 countries. The resulting seven factors summarize the key drivers for water accessibility, and also serve as a vehicle for framing discussions on country outcomes. We clustered the countries based on their seven-dimensional water accessibility factor scores, referring to the resulting three clusters as ‘typologies,’ namely, Decentralized , Centralized and Hybrid . The typologies serve as a vehicle for analyzing water accessibility among countries with similar patterns, in contrast with geographically-based approaches. Finally, we fitted a decision tree classifier to analyze relationships between a country’s typology membership and socioeconomic, geographic and transportation explanatory variables. We found that private car ownership, population density and per-capita gross domestic product are most relevant in predicting a country’s drinking water accessibility typology.https://doi.org/10.1088/1748-9326/acb662drinking waterwater accessibilitytypologiesfactor analysisclusteringdecision tree |
| spellingShingle | Hichul Chung Emily Kumpel Jimi Oke Drinking water accessibility typologies in low- and middle-income countries Environmental Research Letters drinking water water accessibility typologies factor analysis clustering decision tree |
| title | Drinking water accessibility typologies in low- and middle-income countries |
| title_full | Drinking water accessibility typologies in low- and middle-income countries |
| title_fullStr | Drinking water accessibility typologies in low- and middle-income countries |
| title_full_unstemmed | Drinking water accessibility typologies in low- and middle-income countries |
| title_short | Drinking water accessibility typologies in low- and middle-income countries |
| title_sort | drinking water accessibility typologies in low and middle income countries |
| topic | drinking water water accessibility typologies factor analysis clustering decision tree |
| url | https://doi.org/10.1088/1748-9326/acb662 |
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