The Impact of Smart Water Management Systems (SWMS) on Water Distribution Efficiency in Urban Areas: A Case of Zanzibar Water Authority Efficient Water Distribution; Smart Water Management Systems; Water Conservation; Urban Water Management.
Main Article Content
Abstract
Urban areas in developing countries face persistent water-distribution challenges, primarily due to
high non-revenue water (NRW), aging infrastructure, and population growth. The Zanzibar Water
Authority (ZAWA) has introduced Smart Water Management Systems (SWMS) to improve efficiency
and reduce losses. However, there is limited empirical evidence on how these systems influence water
distribution performance and customer satisfaction. A descriptive quantitative research design was
adopted, involving 107 respondents drawn from ZAWA staff and urban water users. Primary data
were collected through questionnaires and analysed using descriptive and multiple regression
techniques in SPSS 26 to assess the contribution of SWMS components—system integration, data
accuracy, automation, maintenance, and user training—to the distribution efficiency and consumer
satisfaction. Results revealed that SWMS significantly enhanced water-distribution efficiency and user
satisfaction (R² = 0.79). Smart metering, automated pressure control, and real-time leak detection
were the most influential factors (β = 0.692, p < 0.001). Additionally, user training and optimized
automated controls exhibited positive and statistically significant effects on perceived reliability and
service quality. The study concludes that strengthening SWMS features, improving automated
response mechanisms, and enhancing user training can markedly increase customer satisfaction and
operational efficiency in urban water distribution. Water utilities should prioritize continuous
technological upgrades, predictive monitoring, and capacity building to achieve sustainable water
management outcomes.
Article Details
References
Verma, A., Singh, A. K., Pathak, A. K., & Saini, G. (2022, August). Real-Time Smart Water Management System (SWMS) for Smart Home. In International Conference on Trends and Recent Advances in Civil Engineering (pp. 129-137). Singapore: Springer Nature Singapore.
Brazilian Water Authority. (2021). São Paulo's yearly report on smart water management.
Dehalwar, K., & Sharma, S. N. (2023). Fundamentals of research writing and uses of research methodologies. Edupedia Publications Pvt Ltd.
Dubey, U.K.B., & Kothari, D.P. (2022). Research Methodology: Techniques and Trends (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781315167138
Et-Taibi, B., Abid, M. R., Boufounas, E. M., Morchid, A., Bourhnane, S., Hamed, T. A., & Benhaddou, D. (2024). Enhancing water management in smart agriculture: A cloud and IoT-Based smart irrigation system. Results in Engineering, 22, 102283.
European Commission. (2020). Managing water resources in the EU: how well it's working and what the future holds. https://ec.europa.eu/environment/water/index_en.htm
India's Smart Cities. (2020). Smart water management: Examples from Pune and Nagpur. https://smartcities.gov.in/
Iphofen, R. (2020). Research ethics and honesty. 739–749 in the Handbook of Research Ethics and Scientific Integrity.
Mahat, D., Neupane, D., & Shrestha, S. (2024). Quantitative research design and sample trends: A systematic examination of emerging paradigms and best practices. Cognizance Journal of Multidisciplinary Studies, 4(2), 20-27.
Mohankumar, A., Gowtham, R., Gokul, B., & Mohammed Asradh, U. (2024). Optimizing Urban Sustainability: A Smart Waste Management System with Arduino Technology. Asian Journal of Applied Science and Technology (AJAST), 8(2), 182-192. 10.38177/ajast.2024.8217.
Muguro, Joseph & Njeri, Paul & Sasaki, Minoru. (2024). Data Collection Methods. 10.2174/9789815238518124010004.
Okoli, J. (2023). Okoli, N. J. (2023, December). Smart Water Metering System (SWMS) Adoption: A Systematic Literature Review. In International Conference on Artificial Intelligence and its Applications (pp. 172-180). 10.59200/ICARTI.2023.025.
Smith, J. A. (2020). Simple random sampling techniques. Journal of Sampling Theory, 16(4), 232-245.
The Amsterdam Water Authority. (2019). Report on managing water in a way that is good for the environment. https://www.amsterdam.nl/projecten/water/
The Arusha Urban Water Supply and Sanitation Authority (AUWSA). (2021). An annual report on how Arusha manages its water. https://www.auwsa.or.tz/
The Dar es Salaam Water and Sewerage Authority (DAWASA). (2020). A report on the progress of smart water management systems in Dar es Salaam. https://www.dawasa.go.tz/
The South African Water Research Commission (SAWRC). (2019). How smart water technologies are affecting Cape Town's cities.
The Zanzibar Water Authority (ZAWA). (2022). Report on water management every year. https://www.zawa.go.tz/
The Zanzibar Water Authority (ZAWA). (2023). Report on the smart water management pilot project. https://www.zawa.go.tz/
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). New York, NY: Harper and Row