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4 November 2026

24 Pages

Sustainable Rural Road Network Planning Under Hierarchical Constraints in Complex Mountainous Terrain: A Case Study of Zhangjiachuan Hui Autonomous County, China

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1
JSTI Group Co., Ltd., 8 Fuchunjiang East Street, Nanjing 210017, China
2
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China
3
Key Lab of Virtual Geographic Environment (MOE), Nanjing Normal University, Nanjing 210023, China
4
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
Sustainability2026, 18(21), 11267;https://doi.org/10.3390/su182111267 
(registering DOI)
This article belongs to the Section Sustainable Urban and Rural Development

Abstract

Sustainable rural road planning in mountainous areas must coordinate existing-road use, hierarchical connectivity, and construction requirements. This study proposes a network generation method integrating existing-road topology with roadless space through a hexagonal occupancy grid. Existing-road neighborhood and cross-neighborhood edges represent different access characteristics. Sequential rules generate a county-level backbone, township-level links, and village-level access while identifying reuse, upgrading, and new construction. Six scenarios are compared in Zhangjiachuan Hui Autonomous County, Gansu, China. The proposed scenario generates an 880.001 km network, with existing roads accounting for 94.53%. New construction totals 48.128 km, 85.63% less than in E1, which represents all existing roads as cross-neighborhood edges and reuses them directly. On the full post-planning evaluation network, mean shortest travel times for village-to-township government, township government-to-county seat, and village-to-county seat connections decrease by 29.69%, 45.24%, and 37.06%, respectively, relative to the existing-road network. All three hierarchical compliance rates reach 100%. Using entropy weights of 11.90%, 44.82%, and 43.28% for network composition, service accessibility, and construction requirements, respectively, the proposed scenario achieves the highest composite score among the six scenarios. The method supports resource-efficient rural transport planning by coordinating existing-road use, hierarchical service connections, and new-construction requirements in preliminary layouts for mountainous counties with comparable terrain and road data.

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