Sustainable Design of Service Stations for Urban Outdoor Workers Based on Circular Economy Product Optimization Model

FU Jiuqiang; SONG Yixing; LIU Yufe; YAO Jian

doi:10.19554/j.cnki.1001-3563.2026.12.033

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (12) : 391-400. DOI: 10.19554/j.cnki.1001-3563.2026.12.033

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Sustainable Design of Service Stations for Urban Outdoor Workers Based on Circular Economy Product Optimization Model

FU Jiuqiang, SONG Yixing, LIU Yufe, YAO Jian^*

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Abstract

China's urbanization process continues to advance, leading to a growing scale of urban outdoor workers and correspondingly increasing demands. Existing service stations for urban outdoor workers face numerous problems in planning, design, construction, and maintenance, such as resource waste, low construction efficiency, and difficulties in post-construction maintenance. The work aims to provide scientifically sound and sustainable design solutions for new service stations through computational multi-objective optimization methods and parametric design based on the concept of circular economy. Systematic simulation and computation were conducted to optimize design solutions, enhance construction efficiency, reduce material waste, and ensure both sustainability and maintenance accessibility in the design. The solutions prioritized the use of environmentally friendly and durable materials while fully considering post-construction maintenance requirements. A parametric framework was proposed. Grounded in the circular economy product optimization model, this study designs a service station for urban outdoor workers to improve the working environment for outdoor workers while contributing to the sustainable development of cities.

Key words

service stations for outdoor workers / sustainable design / computational multi-objective optimization / parametric design

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FU Jiuqiang, SONG Yixing, LIU Yufe, YAO Jian. Sustainable Design of Service Stations for Urban Outdoor Workers Based on Circular Economy Product Optimization Model[J]. Packaging Engineering. 2026, 47(12): 391-400 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.033

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