EconPapers    
Economics at your fingertips  
 

Intelligent Generation Method and Sustainable Application of Road Systems in Urban Green Spaces: Taking Jiangnan Gardens as an Example

Lina Yan, Yile Chen, Liang Zheng, Yi Zhang, Xiao Liang and Chun Zhu ()
Additional contact information
Lina Yan: Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau 999078, China
Yile Chen: Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau 999078, China
Liang Zheng: Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau 999078, China
Yi Zhang: Shanghai GOODLINKS International Design Group, Shanghai 200051, China
Xiao Liang: Shanghai Pudong Architectural Design & Research Institute Co., Ltd., Shanghai 200120, China
Chun Zhu: Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau 999078, China

IJERPH, 2023, vol. 20, issue 4, 1-80

Abstract: This paper takes the garden road system as the research object and proposes a method of generating paths for classical gardens based on parametric design. Firstly, by studying the distribution characteristics of roads, the data on the curvature, angle, and view area of roads were collected. Secondly, the obtained data were transferred to the parameterized platform, and a method of intelligent generation was used for calculation. Finally, the road system was optimized by the genetic algorithm for better application in modern landscape design. According to the current situation, the road system plan generated by the algorithm inherits the characteristics of classical garden roads. This method can be applied to the courtyard, the community park, the urban park, and other objects. This research not only identifies the characteristics of landscape cultural heritage, but also produces an innovative, intelligent design tool. It provides new methods for the parameterized inheritance and application of traditional landscape heritage.

Keywords: urban green space; road intelligent generation; design method; parameterization; genetic algorithm (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/20/4/3158/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/4/3158/ (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:jijerp:v:20:y:2023:i:4:p:3158-:d:1064982

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

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

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3158-:d:1064982