Min Jiang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Min Jiang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
Hua Liu
Wuhan University
1 shared publication- Hua Liu
School of Urban Design, Wuhan University, Wuhan 430072, China
1 shared publication Shuo-Fang Liu
National Cheng Kung University
1 shared publication- Shuo-Fang Liu
Department of Industrial Design, National Cheng Kung University, No. 1, University Road, Tainan City 70101, Taiwan
1 shared publication - Siran Bai
School of Urban Design, Wuhan University, Wuhan 430072, China
1 shared publication - Tianyuan Zhou
China Railway Siyuan Group New Rail Transit Design and Research Co., Ltd., Suzhou 215011, China
1 shared publication
Latest Publications
- 18 July 2026
- Published by Springer Nature
- p. 263-273
An AHP-QFD and Generative AI Integrated Approach for Deep Learning in Design Education
- 18 July 2026
- Published by Springer Nature
- p. 263-273
An AHP-QFD and Generative AI Integrated Approach for Deep Learning in Design Education
- Open Access
- 20 September 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (18) , 8475
Research on Automatic Generation of Park Road Network Based on Skeleton Algorithm
This article primarily delves into the automatic generation approach of the park road network. The design of the park road network not only comprehensively takes into account environmental factors like terrain, vegetation, water bodies, and buildings, but also encompasses functional factors such as road coverage and accessibility. It constitutes a relatively complex design task, and traditional design methods rely significantly on the professional proficiency of designers. Based on the park vector terrain, in combination with the graphics skeleton algorithm, this study proposes an automatic generation method of the park road network considering environmental constraints. Through the utilization of the modified Douglas–Peucker algorithm and convex hull operation, the semantic information of environmental constraints is retained, domain knowledge is integrated, the skeleton graph is optimized, and issues such as road smoothness are addressed. This method can not only generate road network schemes rapidly, scientifically, and precisely, but also furnish the requisite digital model for the quantitative evaluation of the road network. Eventually, the study quantitatively assesses the experimental results via the spatial syntax theory to substantiate the efficacy of the method.
- 20 September 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (18) , 8475
Open AccessResearch on Automatic Generation of Park Road Network Based on Skeleton Algorithm
This article primarily delves into the automatic generation approach of the park road network. The design of the park road network not only comprehensively takes into account environmental factors like terrain, vegetation, water bodies, and buildings, but also encompasses functional factors such as road coverage and accessibility. It constitutes a relatively complex design task, and traditional design methods rely significantly on the professional proficiency of designers. Based on the park vector terrain, in combination with the graphics skeleton algorithm, this study proposes an automatic generation method of the park road network considering environmental constraints. Through the utilization of the modified Douglas–Peucker algorithm and convex hull operation, the semantic information of environmental constraints is retained, domain knowledge is integrated, the skeleton graph is optimized, and issues such as road smoothness are addressed. This method can not only generate road network schemes rapidly, scientifically, and precisely, but also furnish the requisite digital model for the quantitative evaluation of the road network. Eventually, the study quantitatively assesses the experimental results via the spatial syntax theory to substantiate the efficacy of the method.