Connective Urban Greenway Route Planning: A Spatial Optimization Perspective

Wangshu Mu () and Gusiyuan Wang
Additional contact information
Wangshu Mu: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Gusiyuan Wang: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Land, 2024, vol. 13, issue 11, 1-16

Abstract: Urban greenways, as vital green infrastructures, offer a range of societal, environmental, and ecological benefits to city dwellers. However, planning their routes remains a complex task for urban planners. While most studies emphasize either maximizing the number of residents served or enhancing the environmental benefits along these greenways, the role of urban greenways in linking existing facilities like tourist attractions, urban parks, public transport stations, and other greenways has received less attention. This paper introduces an innovative spatial optimization model for the planning of connective urban greenway routes. The model aims to link these facilities while also maximizing the population’s access to the greenway. We developed a set of models applicable to different objectives of connecting existing facilities, such as maximizing the number of facilities to be covered, covering all facilities, and minimizing the distance between facilities and planned greenways. Bi-objective scenarios, including weighted and lexicographical models, are also presented. We delineated the MILP formulation of the proposed models. The paper includes simulation tests with empirical data from Lhasa, China, validating the model’s practicality and computational efficiency.

Keywords: spatial optimization; urban greenway; facility connection (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/13/11/1833/pdf (application/pdf)
https://www.mdpi.com/2073-445X/13/11/1833/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:11:p:1833-:d:1513718

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().