Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Sustain. Cities

Sec. Social Inclusion in Cities

This article is part of the Research TopicSustainability Management of Cities Through Circular Economy and Community Development: A Global PerspectiveView all articles

Computational Sustainability in Rural Home-Based Healthcare: Circular Resource Routing and Community-Embedded Service Management in China

Provisionally accepted
Xiaoyun  LiXiaoyun Li1Haoheng  TianHaoheng Tian2Huan  YuHuan Yu3*PENG  LIPENG LI4*Xin  BaiXin Bai3
  • 1Shanghai Institute of Tourism, Shanghai, China
  • 2Yibin Vocational and Technical College, Yibin, China
  • 3Sichuan Polytechnic University, Deyang, China
  • 4Huachiew Chalermprakiet University, Bang Phli District, Thailand

The final, formatted version of the article will be published soon.

Ensuring sustainable and equitable home-based healthcare in rural areas requires service systems that balance efficiency, fairness, and responsible resource use. This study develops a computational sustainability framework for optimizing multi-cycle routing and scheduling of nursing staff in rural China. We formulate a bi-objective model that minimizes operational costs—interpreted as reducing redundant travel, energy use, and resource waste—and maximizes equitable service accessibility for older adults. A service-time–prioritized greedy algorithm, a customized genetic algorithm, and a tabu search procedure are applied to generate and refine routing solutions. Using publicly available datasets, the algorithms are benchmarked against classical and random heuristics, demonstrating 10–15% cost reductions and significant improvements in equity as measured by a modified Gini coefficient. Beyond technical performance, the framework embeds principles of circular resource management, community-oriented service design, and collaborative local governance. By supporting fair allocation of limited personnel and enabling data-driven decisions for planners, the model contributes to sustainability goals in rural healthcare systems and aligns with SDG 3 (Good Health and Well-Being) and SDG 11 (Sustainable Cities and Communities). The findings provide a scalable decision-support tool for governments, healthcare institutions, and communities seeking to strengthen resilient, low-resource home healthcare delivery within circular and inclusive sustainability strategies.The framework supports collaborative sustainability management across local governments, healthcare institutions, and community organizations.

Keywords: Circularresource flows, Community-embedded care, Computational sustainability, Home-based healthcare, rural aging, Service equity, Vehicle routing problem

Received: 24 Jul 2025; Accepted: 10 Dec 2025.

Copyright: © 2025 Li, Tian, Yu, LI and Bai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Huan Yu
PENG LI

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.