c9f62a790a59a42d0fbae4722261ade2 water-16-01496.pdf 0d7d5fd28c56407127856dabf166f3e55081aaeb water-16-01496.pdf a6cb47aa864495b06ad0f85f1164d19f55df1d8d8cd60c007cf645a512add7ca water-16-01496.pdf Title: Socio-Spatial Analysis of Water Affordability at Small Scales: A Needs-Based Approach Subject: Water affordability as a dimension of water poverty is becoming an increasing source of concern in cities of the Global North. Studies on water affordability are either based on water wants and not needs or tend to use spatial scales too large for effective analyses of local inequities that can truly guide policy actions. In this contribution, we calculate and map a Water Affordability Index (WAI) based on the minimum water requirement of 100 litres/person/day at the scale of the census tract for the Metropolitan Area of Barcelona. We also apply global and local spatial autocorrelation analyses to investigate spatial relationships between the WAI and poverty-related sociodemographic variables. Results show that, even though average WAI values are moderate, the distribution pattern of higher and lower values tends to be clustered in some districts and neighbourhoods of the study area. Bivariate correlations indicate that water affordability is not only related to poverty variables but also to the diversity of water prices. Findings exemplify how the constructed index can complement existing affordability indicators, revealing and mapping important risk groups struggling to meet the costs of essential water needs. Water affordability could be mitigated by supportive water pricing policies for vulnerable households in water poverty hotspots. Keywords: water affordability; water poverty; social vulnerability; spatial inequality; Metropolitan Area of Barcelona Author: Gustavo Romero-Gomez, Elena Domene, Xavier Garcia, Hyerim Yoon and David SaurĂ­ Creator: LaTeX with hyperref Producer: pdfTeX-1.40.25 CreationDate: Fri May 24 09:11:46 2024 CEST ModDate: Fri May 24 09:30:41 2024 CEST Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 19 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 6585604 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- WLENKM+VnURWPalladioL-Bold Type 1 Custom yes yes yes 10 0 QCRSBZ+URWPalladioL-Bold Type 1 Custom yes yes yes 16 0 BKKWQB+URWPalladioL-Roma Type 1 Custom yes yes yes 22 0 NKENVB+URWPalladioL-Ital Type 1 Custom yes yes yes 27 0 KORLVE+VnURWPalladioL Type 1 Custom yes yes yes 32 0 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AIFGHH+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 328 0 AIFGNG+PalatinoLinotype TrueType MacRoman yes yes no 331 0 HWQIGE+URWPalladioL-BoldItal Type 1 Custom yes yes yes 350 0 LRJSKZ+VnURWPalladioL-Italic Type 1 Custom yes yes yes 358 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-02-17 16:56:52 CET RepresentationInformation: water-16-01496.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2025-02-17 12:34:56 CET Size: 6585604 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 593 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Children: Item: Title: Theoretical Framework Destination: subsection.1.1 Item: Title: Water Poverty as an Affordability Problem: An Emerging Field of Study Destination: subsection.1.2 Item: Title: Materials and Methods Destination: section.2 Children: Item: Title: Case Study: The Metropolitan Area of Barcelona (MAB) Destination: subsection.2.1 Item: Title: Calculation of the Water Affordability Index at the Census Tract Level Destination: subsection.2.2 Item: Title: Spatial Autocorrelation Analyses Destination: subsection.2.3 Item: Title: Results Destination: section.3 Children: Item: Title: Global and Local Spatial Autocorrelation of WAI Destination: subsection.3.1 Item: Title: Bivariate Correlations: WAI and Population at Risk of Poverty Destination: subsection.3.2 Item: Title: WAI, Gender and Residents Born in Global South Countries Destination: subsection.3.3 Item: Title: Bivariate Correlation: WAI and Percentage of Elderly and Underaged Population Destination: subsection.3.4 Item: Title: Bivariate Correlation: WAI and Gini Index Destination: subsection.3.5 Item: Title: Discussion Destination: section.4 Item: Title: Conclusions Destination: section.5 Item: Title: Appendix A Destination: appendix.A. Item: Title: References Destination: appendix.B. Info: Title: Socio-Spatial Analysis of Water Affordability at Small Scales: A Needs-Based Approach Author: Gustavo Romero-Gomez, Elena Domene, Xavier Garcia, Hyerim Yoon and David SaurĂ­ Subject: Water affordability as a dimension of water poverty is becoming an increasing source of concern in cities of the Global North. Studies on water affordability are either based on water wants and not needs or tend to use spatial scales too large for effective analyses of local inequities that can truly guide policy actions. In this contribution, we calculate and map a Water Affordability Index (WAI) based on the minimum water requirement of 100 litres/person/day at the scale of the census tract for the Metropolitan Area of Barcelona. We also apply global and local spatial autocorrelation analyses to investigate spatial relationships between the WAI and poverty-related sociodemographic variables. Results show that, even though average WAI values are moderate, the distribution pattern of higher and lower values tends to be clustered in some districts and neighbourhoods of the study area. Bivariate correlations indicate that water affordability is not only related to poverty variables but also to the diversity of water prices. Findings exemplify how the constructed index can complement existing affordability indicators, revealing and mapping important risk groups struggling to meet the costs of essential water needs. Water affordability could be mitigated by supportive water pricing policies for vulnerable households in water poverty hotspots. 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