Meal-on-wheel Service Facility Location Strategy for Longhua District in Shenzhen based on GIS

Authors

  • Meiyan Lin
  • Weizhi Tong
  • Jingyuan Li
  • Caixuan Guo
  • Anqi Liu
  • Ting Wang

DOI:

https://doi.org/10.54097/k9htdp98

Keywords:

Meal-on-Wheel; Facility Location Strategy; GIS.

Abstract

With the development of Shenzhen, aging population with needs of Meal-on-Wheel (MOW) service is increasing as well, especially Longhua District. This paper analyses the characteristics of the aging population in Longhua District, and evaluates the accessibility and living quality of current meals service location by applying Geographic Information System (GIS). It finds that the meal service system struggles from low demands and quality, highly depends on government subsidies, lacks of participation from social enterprises, and diversity in service levels. Based on the analysis, proper location strategy is made, and proper MOW service locations are allocated by GIS to extend the coverage of MOW services and suggestions are made properly to promote the improvement of the quality of catering services.

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References

Borba, Bruno Ferreira da Costa, de Gusmão, Ana Paula Henriques, Clemente, Thárcylla Rebecca Negreiros, & Nepomuceno, Thyago Celso Cavalcante. (2022). Optimizing police facility locations based on cluster analysis and the maximal covering location problem. Applied System Innovation, 5(4), 74.

The Efficiency of Meal Service for the Elderly--A Beijing Case Study[J].Lanzhou Academic Journal,2021:131-148.

Gong, Xianglei, & Huang, Juan. (2021). Health Status and Dietary Recommendations for the Elderly in China. Modern Food(24), 139-142.

He, Qingbin, Ma, Jidong, Duan, Jiheng, & Liu, Jiahui. (2023). Determination of Fire Station Site Selection and Layout Analysis Based on GlS Network Analysis Method. Value Engineering, 42(21), 7-9.

Huang, Xiaoran, Gong, Peixin, & Zhang, Bo. (2023). Research on the Matching and Spatial Distribution of Meal-Aid Service for the Elderly in Shanghai. Journal of Human Settlements in West China, 38(02), 30-37.

Lin, Meiyan, Chin, Kwai-Sang, Fu, Chao, & Tsui, Kwok-Leung. (2017). An effective greedy method for the Meals-On-Wheel service districting problem. Computers & Industrial Engineering, 106, 1-19.

Lin, Meiyan, Chin, Kwai Sang, Ma, Lijun, & Tsui, Kwok Leung. (2018). A comprehensive multi-objective mixed integer nonlinear programming model for an integrated elderly care service districting problem. Annals of Operations Research.

Lin, Meiyan, Lin, Shaodan, Lijun, M. A., & Zhang, Lianmin. (2022). The value of the Physical Internet on the meals-on-Wheel delivery system. International Journal of Production Economics, 108459.

Mellow, Maddison L, Luscombe‐Marsh, Natalie, Taylor, Pennie J, Kenny, Peter, & Lushington, Kurt. (2024). Food, nutrition and the dining experience in aged care settings: Findings of a nationwide survey. Australasian Journal on Ageing, 43(1), 100-111.

Saeidian, Bahram, Mesgari, Mohammad Saadi, Pradhan, Biswajeet, & Ghodousi, Mostafa. (2018). Optimized location-allocation of earthquake relief centers using PSO and ACO, complemented by GIS, clustering, and TOPSIS. ISPRS international journal of geo-information, 7(8), 292.

Salimi, Mehdi, & Khodaparst, Mahboubeh. (2021). Providing the optimal method for sport places site selection based on GIS analytic functions. Journal of Facilities Management, 19(3), 339-357.

Wang, Bo, & Xie, Siting. (2019). Lean Governance: The Solution to the Dilemma in the Urban Community Meal Aid for the elderly. Social Welfare (Theoretical version)(07), 28-36.

Wang, Xiaochun, Xiong, Feng, Wang, Zhenwei, Chen, Shuang, Zhang, Zuo, & Peng, Lina. (2021). Planning and Layout of Facilities for the Elders Based on POl and Machine Learning:A Case Study of Wuhan. Economic Geography, 41(06), 49-56.

Winterton, Rachel, Warburton, Jeni, & Oppenheimer, Melanie. (2013). The future for Meals on Wheel? Reviewing innovative approaches to meal provision for ageing populations. International Journal of Social Welfare, 22(2), 141-151.

Zhu, Yali, An, Qiaozhen, & Rao, Jiahao. (2024). The effects of dietary diversity on health status among the older adults: an empirical study from China. BMC Public Health, 24(1), 674.

Zou, Hui, Su, Yang, Wu, Xiaoli, Wu, Mengnan, Zhang, Shaojun, Ding, Huahua, . . . Ge, Zhenxing. (2023). Dietary preference and nutritional knowledge needs of the elderly at meal service sites in Shanghai. Shanghai Journal of Preventive Medicine, 35(04), 380-386.

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Published

12-06-2024

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Section

Articles

How to Cite

Lin, M., Tong, W., Li, J., Guo, C., Liu, A., & Wang, T. (2024). Meal-on-wheel Service Facility Location Strategy for Longhua District in Shenzhen based on GIS . Academic Journal of Science and Technology, 11(2), 99-109. https://doi.org/10.54097/k9htdp98