中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new method for planning long-distance trails using wilderness quality mapping and trajectory data: A case study of the Taihang Mountain National Forest Trail in China

文献类型:期刊论文

作者Chen, Yunmiao8; Cao, Yue8,9; Ye, Zhangqian8; Liu, Tao7; Wang, Pei8; Feng, Yunshuang8; Liao, Lingyun6; Lv, Mingyang4,5; Zhao, Zhicong8,9; Watson, Alan E.3
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2026-03-15
卷号402页码:129019
关键词Landscape architecture Trail planning Longest path problem Volunteered geographic information National trail
ISSN号0301-4797
DOI10.1016/j.jenvman.2026.129019
产权排序7
文献子类Article
英文摘要Long-distance trails serve as essential infrastructure linking humans and nature. Currently, most trail planning relies on suitability analysis, which assesses areas rather than routes and often results in discontinuous trails. Using the Taihang Mountain National Forest Trail - Beijing Section (TMNFT-BS) as a case study, this study proposes an integrated framework for trail planning. Based on hiking trajectory data, we use landscapes and wilderness continuum map for screening conditions to locate a trail. The resulting TMNFT-BS trail is approximately 179.8 km in length and: (1) follows only existing routes, minimizing ecological impacts and costs; (2) is continuous and accessible; and (3) traverses areas with the highest average wilderness quality while linking diverse landscapes, providing a rewarding hiking experience. This study introduces a novel approach to the longest path problem in general graphs and presents a trail-planning methodology applicable in China and beyond.
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WOS关键词HABITAT SUITABILITY ; PROTECTED AREA ; HIKING ; CONNECTIVITY ; CORRIDORS ; IMPACTS ; COST ; WILD ; PARK
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001704913900001
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/221194]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Cao, Yue
作者单位1.Natl Univ Singapore, Coll Design & Engn, Dept Architecture, Singapore 117356, Singapore;
2.Minist Educ, Ecol Field Stn East Asian Migratory Birds, Beijing 100084, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;
4.Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China;
5.Nanjing Univ, Inst Space Earth Sci, Suzhou 215163, Peoples R China;
6.Fujian Agr & Forestry Univ, Coll Landscape Architecture & Art, Fuzhou 350002, Fujian, Peoples R China;
7.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China;
8.Tsinghua Univ, Sch Architecture, Dept Landscape Architecture, Beijing 100084, Peoples R China;
9.Tsinghua Univ, Inst Natl Pk, Beijing 100084, Peoples R China;
10.Univ Leeds, Wildland Res Inst, Sch Geog, Leeds LS2 9JT, England;
推荐引用方式
GB/T 7714
Chen, Yunmiao,Cao, Yue,Ye, Zhangqian,et al. A new method for planning long-distance trails using wilderness quality mapping and trajectory data: A case study of the Taihang Mountain National Forest Trail in China[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2026,402:129019.
APA Chen, Yunmiao.,Cao, Yue.,Ye, Zhangqian.,Liu, Tao.,Wang, Pei.,...&Yang, Rui.(2026).A new method for planning long-distance trails using wilderness quality mapping and trajectory data: A case study of the Taihang Mountain National Forest Trail in China.JOURNAL OF ENVIRONMENTAL MANAGEMENT,402,129019.
MLA Chen, Yunmiao,et al."A new method for planning long-distance trails using wilderness quality mapping and trajectory data: A case study of the Taihang Mountain National Forest Trail in China".JOURNAL OF ENVIRONMENTAL MANAGEMENT 402(2026):129019.

入库方式: OAI收割

来源:地理科学与资源研究所

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