Drivers of urban water consumption in Brazil: a countrywide, cross-sectional study

被引:12
作者
da Veiga, Fabiano [1 ]
Kalbusch, Andreza [1 ]
Henning, Elisa [2 ]
机构
[1] Santa Catarina State Univ, Civil Engn Dept, Joinville, Brazil
[2] Santa Catarina State Univ, Math Dept, Joinville, Brazil
关键词
Urban water consumption; drivers; Brazil; DEMAND; DETERMINANTS; CHALLENGES; VALIDATION; MANAGEMENT; CLIMATE; MODELS; PANEL;
D O I
10.1080/1573062X.2022.2041049
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Urban water consumption can be influenced by several factors and may have different patterns due to regional and local specificities. This research aims to determine the influence of climatic, geographic, demographic, economic, social and water-supply-service-related factors on the per capita water consumption in Brazil using a dataset with 1746 municipalities. For this purpose, a multiple linear regression model using log-transformed data was fitted. The results show that household income, water tariff, number of residents per household, temperature, percentage of households with washing machine, city population, gender, percentage of households with piped water and the municipality's GDP significantly influence urban water consumption.
引用
收藏
页码:1462 / 1470
页数:9
相关论文
共 70 条
[1]   Factors influencing household access to drinking water in Nigeria [J].
Abubakar, Ismaila Rimi .
UTILITIES POLICY, 2019, 58 :40-51
[2]   The role of climate variability in convergence of residential water consumption across Chilean localities [J].
Acuna, Guillermo Ignacio ;
Echeverria, Cristian ;
Godoy, Alex ;
Vasquez, Felipe .
ENVIRONMENTAL ECONOMICS AND POLICY STUDIES, 2020, 22 (01) :89-108
[3]   User's guide to correlation coefficients [J].
Akoglu, Haldun .
TURKISH JOURNAL OF EMERGENCY MEDICINE, 2018, 18 (03) :91-93
[4]   Koppen's climate classification map for Brazil [J].
Alvares, Clayton Alcarde ;
Stape, Jose Luiz ;
Sentelhas, Paulo Cesar ;
de Moraes Goncalves, Jose Leonardo ;
Sparovek, Gerd .
METEOROLOGISCHE ZEITSCHRIFT, 2013, 22 (06) :711-728
[5]  
[Anonymous], 2015, RStudio, P42
[6]  
[Anonymous], 2010, CID
[7]  
[Anonymous], 2001, CULTURAL ATTRACTIONS
[8]  
[Anonymous], 2020, Cidades e Estados
[9]  
Arbues F., 2003, J SOCIO-ECON, V32, P81, DOI [10.1016/S1053-5357(03)00005-2, DOI 10.1016/S1053-5357(03)00005-2]
[10]   A hybrid agent-based model for estimating residential water demand [J].
Athanasiadis, IN ;
Mentes, AK ;
Mitkas, PA ;
Mylopoulos, YA .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2005, 81 (03) :175-187