A MATHEMATICAL MODEL TO OPTIMIZE THE LOCATION PLANNING OF FUTURE WATER SUPPLY FACTORIES IN CAN THO CITY AND NEIGHBOR DISTRICTS WITH MAINTAINING PRESENT ACCESSIBILITY | Thão | TNU Journal of Science and Technology

A MATHEMATICAL MODEL TO OPTIMIZE THE LOCATION PLANNING OF FUTURE WATER SUPPLY FACTORIES IN CAN THO CITY AND NEIGHBOR DISTRICTS WITH MAINTAINING PRESENT ACCESSIBILITY

About this article

Received: 24/04/21                Revised: 20/07/21                Published: 21/07/21

Authors

1. Ta Phuong Thao, Can Tho University
2. Huynh Van Canh, Can Tho University
3. Vo Vu Luan, Can Tho University
4. Nguyen Thang Loi Email to author, Can Tho University

Abstract


Environmental pollution and the increasing complexity in migration have put a lot of pressure on the planning of domestic water supply systems in the big cities. With the desire of building a highly reliable scientific base in future water supply network decision-making, this paper proposes a two-step approach with a minimum number of future domestic water supply facilities and planning the location of future water plants with maintaining present accessibility. A combination of the Shortest Path, k-median and the population forecasting model will be implemented with data that is collected from the Can Tho city and neighboring districts. The results have showed a water distribution network configuration supports to against the population explosion in the future.

Keywords


Facility location; Linear programming; Population forecast; Accessibility; K-median

References


[1] M. S. Daskin and A. T. Murray, “Modeling Public Sector Facility Location Problems,” Socio-Economic Planning Sciences, vol. 46, no. 2, p. 111, 2012.

[2] M. Miralinaghi, Y. Lou, B. B. Keskin, and A. Zarrinmehr, “Refueling station location problem with traffic deviation considering route choice and demand uncertainty,” International Journal of Hydrogen Energy, vol. 42, no. 5, pp. 3335-3351, 2017.

[3] G. Zhaomiao, J. Deride, and Y. Fan, “Infrastructure planning for fast charging stations in a competitive market,” Transportation Research Part C: Emerging Technologies, vol. 68, pp. 215-227, 2016.

[4] H. Yawei, K. M. Kockelman, and K. A. Perrine, “Optimal locations of U.S. fast charging stations for long-distance trip completion by battery electric vehicles,” Journal of Cleaner Production, vol. 214, pp. 452-461, 2019.

[5] K. Geurs and B. Wee, "Accessibility evaluation of land-use and transport strategies: review and research directions,” Journal of Transoprt Geography, vol. 12, no. 2, pp. 127-140, 2004.

[6] S. U. Rahman and D. K. Smith, "Use of location allocation models in health service development planning in developing nations,” European Journal of Operational Research, vol. 123, pp. 437-452, 2000.

[7] L. T. Nguyen, T. T. Tham, and T. H. Doan, “An Optimization Model of Closed-Loop Supply Chain Network: A Case Study of Printers Cartridges in Can Tho City and Neighboring Districts,” (in Vietnamese), TNU Journal of Science and Technology, vol. 195, no. 2, pp. 3-10, 2019.

[8] L. Santos, J. C. Rodrigues, and J. R. Current, “An improved solution algorithm for the constrained shortest path problem,” Transportation Research Part B, vol. 41, no. 7, pp. 756-771, 2007.

[9] A. Faro and D. Giordano, “ Algorithms to find shortest and alternative paths in free flow and congested traffic regimes,” Transportation Research Part C, vol. 73, pp. 1-29, 2016.

[10] H. L. Shang, P. W. F. Smith, J. Bijak, and A. Wiśniowski, “A multilevel functional data method for forecasting population, with an application to the United Kingdom,” International Journal of Forecasting, vol. 32, pp. 629-649, 2016.

[11] W. Takahagi, Y. Sumitani, and H. Takahashi, “Method of Determining Future Facility Location with Maintaining Present Accessibility,” Industrial Engineering & Management Systems, vol. 15, pp. 197-205, 2016.

[12] Z. Drezner, “Dynamic facility location: The progressive p-median problem,” Location Science, vol. 3, no. 1, pp. 1-7, 1995.

[13] W. M. Wey, “Dynamic parking facility location with time-dependent demands: The progressive p-median problem,” Proceedings of the Eastern Asia Society for Transportation Studies, vol. 4, pp. 461-469, 2003.




DOI: https://doi.org/10.34238/tnu-jst.4429

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