Loading…
Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study
Understanding household water dynamics is crucial for achieving SDG 6 targets. This study explores the impact of 16 socio-demographic variables on household water demand in a tropical Nigerian community from February 2023 to January 2024, surveying eighty diverse households monthly. Descriptive and...
Saved in:
Published in: | Applied water science 2025-01, Vol.15 (1), p.9-11, Article 9 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c349t-dcd844e6db0037e77f4231994b5e542a9470d973006b573c192ecbc5e606a1d3 |
container_end_page | 11 |
container_issue | 1 |
container_start_page | 9 |
container_title | Applied water science |
container_volume | 15 |
creator | Ogunbode, Timothy Oyebamiji Victor Oyebamiji, Oyedeji Oyelami, Ayobami Alani Akinkuolie, Timothy Ayo |
description | Understanding household water dynamics is crucial for achieving SDG 6 targets. This study explores the impact of 16 socio-demographic variables on household water demand in a tropical Nigerian community from February 2023 to January 2024, surveying eighty diverse households monthly. Descriptive and inferential statistics were applied to the survey data. Females constituted 85.8%, with 98.0% aged at least 18 and 73.6% having secondary education. Factorability of the dataset was confirmed (KMO = 63.4,
p
|
doi_str_mv | 10.1007/s13201-024-02323-y |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_e31f056bcadc4b4b8501e57dd8dce734</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_e31f056bcadc4b4b8501e57dd8dce734</doaj_id><sourcerecordid>3147277678</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-dcd844e6db0037e77f4231994b5e542a9470d973006b573c192ecbc5e606a1d3</originalsourceid><addsrcrecordid>eNp9kU9r3DAQxU1poSHJF-hJ0LNb_bWs3kpI20Agl9zFWBrvarGlrWRv2WO_ebVxSW8VCInh955m9JrmA6OfGKX6c2GCU9ZSLusWXLTnN80VZ4a2Shr19vXe6_fNbSkHWpdiyvD-qvl9f4JphSXEHRmgBEf2aS24T5Mnbg8Z3II5lCW4QkIcpxWju7A-zXipkl9QAeJxhugrQZacjsHBRDCeQk5xxriULwSIS_Mx4x5jCSckDgqSsqz-fNO8G2EqePv3vG6ev90_3_1oH5--P9x9fWydkGZpvfO9lNj5gVKhUetRcsGMkYNCJTkYqak3WlDaDUoLxwxHNziFHe2AeXHdPGy2PsHBHnOYIZ9tgmBfCinvLOQ60IQWBRup6gYH3slBDr2iDJX2vvcOtZDV6-Pmdczp51r_wR7SmmPt3gomNde6032l-Ea5nErJOL6-yqi9BGe34GwNzr4EZ89VJDZRqXDcYf5n_R_VHyxXnoQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3147277678</pqid></control><display><type>article</type><title>Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study</title><source>Publicly Available Content Database</source><source>Springer Nature - SpringerLink Journals - Fully Open Access </source><source>Free Full-Text Journals in Chemistry</source><source>Coronavirus Research Database</source><creator>Ogunbode, Timothy Oyebamiji ; Victor ; Oyebamiji, Oyedeji ; Oyelami, Ayobami Alani ; Akinkuolie, Timothy Ayo</creator><creatorcontrib>Ogunbode, Timothy Oyebamiji ; Victor ; Oyebamiji, Oyedeji ; Oyelami, Ayobami Alani ; Akinkuolie, Timothy Ayo</creatorcontrib><description>Understanding household water dynamics is crucial for achieving SDG 6 targets. This study explores the impact of 16 socio-demographic variables on household water demand in a tropical Nigerian community from February 2023 to January 2024, surveying eighty diverse households monthly. Descriptive and inferential statistics were applied to the survey data. Females constituted 85.8%, with 98.0% aged at least 18 and 73.6% having secondary education. Factorability of the dataset was confirmed (KMO = 63.4,
p
< 0.005). Analysis identified seven key variables, explaining 72.03% of observed variance: household size, water source reliability, time cost of obtaining water, water storage strategy, consumptive water use, monthly income, and water source management type. Further scrutiny revealed two variable groups, contributing 42.3% (VAR 1 and VAR 2) and 51.4% (VAR 3, 4, 5, and 6) of total absolute variance, respectively. This analysis is vital for effective household water planning and management, especially in resource-limited regions. Extracted variables warrant attention from industry stakeholders, with subsequent investigations revealing robust relationships (55.5–99.1%) among variables. This understanding is pivotal for institutionalizing policies and strategic decision-making in household water supply planning and management. It offers comprehensive insights for aligning practices with SDG 6 goals, ensuring sustainable and equitable access to water resources.</description><identifier>ISSN: 2190-5487</identifier><identifier>EISSN: 2190-5495</identifier><identifier>DOI: 10.1007/s13201-024-02323-y</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Aquatic Pollution ; Comparative Law ; Decision making ; Demographic variables ; Domestic water ; Earth and Environmental Science ; Earth Sciences ; Factor analysis ; Household water use ; Households ; Hydrogeology ; Industrial and Production Engineering ; International & Foreign Law ; Nanotechnology ; Original Article ; Private International Law ; Socio-demographic variables ; Statistical analysis ; Sustainable Development Goals ; Tropical climate ; Tropical community ; Tropical environment ; Tropical environments ; Variables ; Variance ; Waste Water Technology ; Water ; Water consumption ; Water demand ; Water Industry/Water Technologies ; Water Management ; Water Pollution Control ; Water resources ; Water storage ; Water supply ; Water use</subject><ispartof>Applied water science, 2025-01, Vol.15 (1), p.9-11, Article 9</ispartof><rights>The Author(s) 2024</rights><rights>Copyright Springer Nature B.V. Jan 2025</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c349t-dcd844e6db0037e77f4231994b5e542a9470d973006b573c192ecbc5e606a1d3</cites><orcidid>0000-0003-1515-825X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3147277678/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3147277678?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,38493,43871,44566,74155,74869</link.rule.ids></links><search><creatorcontrib>Ogunbode, Timothy Oyebamiji</creatorcontrib><creatorcontrib>Victor</creatorcontrib><creatorcontrib>Oyebamiji, Oyedeji</creatorcontrib><creatorcontrib>Oyelami, Ayobami Alani</creatorcontrib><creatorcontrib>Akinkuolie, Timothy Ayo</creatorcontrib><title>Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study</title><title>Applied water science</title><addtitle>Appl Water Sci</addtitle><description>Understanding household water dynamics is crucial for achieving SDG 6 targets. This study explores the impact of 16 socio-demographic variables on household water demand in a tropical Nigerian community from February 2023 to January 2024, surveying eighty diverse households monthly. Descriptive and inferential statistics were applied to the survey data. Females constituted 85.8%, with 98.0% aged at least 18 and 73.6% having secondary education. Factorability of the dataset was confirmed (KMO = 63.4,
p
< 0.005). Analysis identified seven key variables, explaining 72.03% of observed variance: household size, water source reliability, time cost of obtaining water, water storage strategy, consumptive water use, monthly income, and water source management type. Further scrutiny revealed two variable groups, contributing 42.3% (VAR 1 and VAR 2) and 51.4% (VAR 3, 4, 5, and 6) of total absolute variance, respectively. This analysis is vital for effective household water planning and management, especially in resource-limited regions. Extracted variables warrant attention from industry stakeholders, with subsequent investigations revealing robust relationships (55.5–99.1%) among variables. This understanding is pivotal for institutionalizing policies and strategic decision-making in household water supply planning and management. It offers comprehensive insights for aligning practices with SDG 6 goals, ensuring sustainable and equitable access to water resources.</description><subject>Aquatic Pollution</subject><subject>Comparative Law</subject><subject>Decision making</subject><subject>Demographic variables</subject><subject>Domestic water</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Factor analysis</subject><subject>Household water use</subject><subject>Households</subject><subject>Hydrogeology</subject><subject>Industrial and Production Engineering</subject><subject>International & Foreign Law</subject><subject>Nanotechnology</subject><subject>Original Article</subject><subject>Private International Law</subject><subject>Socio-demographic variables</subject><subject>Statistical analysis</subject><subject>Sustainable Development Goals</subject><subject>Tropical climate</subject><subject>Tropical community</subject><subject>Tropical environment</subject><subject>Tropical environments</subject><subject>Variables</subject><subject>Variance</subject><subject>Waste Water Technology</subject><subject>Water</subject><subject>Water consumption</subject><subject>Water demand</subject><subject>Water Industry/Water Technologies</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water resources</subject><subject>Water storage</subject><subject>Water supply</subject><subject>Water use</subject><issn>2190-5487</issn><issn>2190-5495</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU9r3DAQxU1poSHJF-hJ0LNb_bWs3kpI20Agl9zFWBrvarGlrWRv2WO_ebVxSW8VCInh955m9JrmA6OfGKX6c2GCU9ZSLusWXLTnN80VZ4a2Shr19vXe6_fNbSkHWpdiyvD-qvl9f4JphSXEHRmgBEf2aS24T5Mnbg8Z3II5lCW4QkIcpxWju7A-zXipkl9QAeJxhugrQZacjsHBRDCeQk5xxriULwSIS_Mx4x5jCSckDgqSsqz-fNO8G2EqePv3vG6ev90_3_1oH5--P9x9fWydkGZpvfO9lNj5gVKhUetRcsGMkYNCJTkYqak3WlDaDUoLxwxHNziFHe2AeXHdPGy2PsHBHnOYIZ9tgmBfCinvLOQ60IQWBRup6gYH3slBDr2iDJX2vvcOtZDV6-Pmdczp51r_wR7SmmPt3gomNde6032l-Ea5nErJOL6-yqi9BGe34GwNzr4EZ89VJDZRqXDcYf5n_R_VHyxXnoQ</recordid><startdate>20250101</startdate><enddate>20250101</enddate><creator>Ogunbode, Timothy Oyebamiji</creator><creator>Victor</creator><creator>Oyebamiji, Oyedeji</creator><creator>Oyelami, Ayobami Alani</creator><creator>Akinkuolie, Timothy Ayo</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1515-825X</orcidid></search><sort><creationdate>20250101</creationdate><title>Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study</title><author>Ogunbode, Timothy Oyebamiji ; Victor ; Oyebamiji, Oyedeji ; Oyelami, Ayobami Alani ; Akinkuolie, Timothy Ayo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-dcd844e6db0037e77f4231994b5e542a9470d973006b573c192ecbc5e606a1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Aquatic Pollution</topic><topic>Comparative Law</topic><topic>Decision making</topic><topic>Demographic variables</topic><topic>Domestic water</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Factor analysis</topic><topic>Household water use</topic><topic>Households</topic><topic>Hydrogeology</topic><topic>Industrial and Production Engineering</topic><topic>International & Foreign Law</topic><topic>Nanotechnology</topic><topic>Original Article</topic><topic>Private International Law</topic><topic>Socio-demographic variables</topic><topic>Statistical analysis</topic><topic>Sustainable Development Goals</topic><topic>Tropical climate</topic><topic>Tropical community</topic><topic>Tropical environment</topic><topic>Tropical environments</topic><topic>Variables</topic><topic>Variance</topic><topic>Waste Water Technology</topic><topic>Water</topic><topic>Water consumption</topic><topic>Water demand</topic><topic>Water Industry/Water Technologies</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Water resources</topic><topic>Water storage</topic><topic>Water supply</topic><topic>Water use</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ogunbode, Timothy Oyebamiji</creatorcontrib><creatorcontrib>Victor</creatorcontrib><creatorcontrib>Oyebamiji, Oyedeji</creatorcontrib><creatorcontrib>Oyelami, Ayobami Alani</creatorcontrib><creatorcontrib>Akinkuolie, Timothy Ayo</creatorcontrib><collection>Springer Open Access</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied water science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ogunbode, Timothy Oyebamiji</au><au>Victor</au><au>Oyebamiji, Oyedeji</au><au>Oyelami, Ayobami Alani</au><au>Akinkuolie, Timothy Ayo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study</atitle><jtitle>Applied water science</jtitle><stitle>Appl Water Sci</stitle><date>2025-01-01</date><risdate>2025</risdate><volume>15</volume><issue>1</issue><spage>9</spage><epage>11</epage><pages>9-11</pages><artnum>9</artnum><issn>2190-5487</issn><eissn>2190-5495</eissn><abstract>Understanding household water dynamics is crucial for achieving SDG 6 targets. This study explores the impact of 16 socio-demographic variables on household water demand in a tropical Nigerian community from February 2023 to January 2024, surveying eighty diverse households monthly. Descriptive and inferential statistics were applied to the survey data. Females constituted 85.8%, with 98.0% aged at least 18 and 73.6% having secondary education. Factorability of the dataset was confirmed (KMO = 63.4,
p
< 0.005). Analysis identified seven key variables, explaining 72.03% of observed variance: household size, water source reliability, time cost of obtaining water, water storage strategy, consumptive water use, monthly income, and water source management type. Further scrutiny revealed two variable groups, contributing 42.3% (VAR 1 and VAR 2) and 51.4% (VAR 3, 4, 5, and 6) of total absolute variance, respectively. This analysis is vital for effective household water planning and management, especially in resource-limited regions. Extracted variables warrant attention from industry stakeholders, with subsequent investigations revealing robust relationships (55.5–99.1%) among variables. This understanding is pivotal for institutionalizing policies and strategic decision-making in household water supply planning and management. It offers comprehensive insights for aligning practices with SDG 6 goals, ensuring sustainable and equitable access to water resources.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s13201-024-02323-y</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1515-825X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2190-5487 |
ispartof | Applied water science, 2025-01, Vol.15 (1), p.9-11, Article 9 |
issn | 2190-5487 2190-5495 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_e31f056bcadc4b4b8501e57dd8dce734 |
source | Publicly Available Content Database; Springer Nature - SpringerLink Journals - Fully Open Access ; Free Full-Text Journals in Chemistry; Coronavirus Research Database |
subjects | Aquatic Pollution Comparative Law Decision making Demographic variables Domestic water Earth and Environmental Science Earth Sciences Factor analysis Household water use Households Hydrogeology Industrial and Production Engineering International & Foreign Law Nanotechnology Original Article Private International Law Socio-demographic variables Statistical analysis Sustainable Development Goals Tropical climate Tropical community Tropical environment Tropical environments Variables Variance Waste Water Technology Water Water consumption Water demand Water Industry/Water Technologies Water Management Water Pollution Control Water resources Water storage Water supply Water use |
title | Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T22%3A40%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20basic%20household%20characteristics%20influencing%20domestic%20water%20demand%20in%20tropical%20environments:%20a%20comprehensive%20case%20study&rft.jtitle=Applied%20water%20science&rft.au=Ogunbode,%20Timothy%20Oyebamiji&rft.date=2025-01-01&rft.volume=15&rft.issue=1&rft.spage=9&rft.epage=11&rft.pages=9-11&rft.artnum=9&rft.issn=2190-5487&rft.eissn=2190-5495&rft_id=info:doi/10.1007/s13201-024-02323-y&rft_dat=%3Cproquest_doaj_%3E3147277678%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c349t-dcd844e6db0037e77f4231994b5e542a9470d973006b573c192ecbc5e606a1d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3147277678&rft_id=info:pmid/&rfr_iscdi=true |