Fanzhuo Ding
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Fanzhuo Ding has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Feifan Weng
College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
1 shared publication - Xufang Li
School of Architecture and Urban Planning, Tongji University, Shanghai 200092, China, China
1 shared publication - Yanqiu Xie
College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
1 shared publication - Yushan Zheng
College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, China
1 shared publication - Zheng Ding
College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
1 shared publication - Zhengduo Xu
College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China
1 shared publication
Latest Publications
- Open Access
Study on Multidimensional Perception of National Forest Village Landscape Based on Digital Footprint Support—Anhui Xidi Village as an Example
National Forest Villages in China are village types with significant environmental resources and cultural landscapes that play a vital role in ecological conservation, tourism development, territorial planning, and other elements. Understanding tourists’ landscape perception preferences is important to the long-term development of their landscape systems. Using Xidi village from the second batch of National Forest Villages as a research case, we gathered the evaluation digital footprints of visitors to the village with Python (version 3.12.0) and then used the ROST CM6 software and the semantic network analysis method to sort out the general characteristics of visitors’ perceptions of the village’s landscape. Finally, we constructed a multidimensional landscape perception model by studying precise details of passengers’ views of Xidi village on four dimensions: natural landscape, humanistic landscape, landscape environmental atmosphere, and emotional state. The findings show that travelers’ perceptions of Xidi village’s landscape primarily focus on scenery, architecture, and culture, with the humanistic landscape having the strongest degree of perception, the landscape environment atmosphere having the middle degree of perception, and the natural landscape having a weaker degree of perception. Most travelers have positive emotions, and commercialization and homogenization are negative factors that trigger negative emotions. The optimization recommendations for Xidi village’s landscape system are then offered in light of the study’s findings.
Open AccessStudy on Multidimensional Perception of National Forest Village Landscape Based on Digital Footprint Support—Anhui Xidi Village as an Example
National Forest Villages in China are village types with significant environmental resources and cultural landscapes that play a vital role in ecological conservation, tourism development, territorial planning, and other elements. Understanding tourists’ landscape perception preferences is important to the long-term development of their landscape systems. Using Xidi village from the second batch of National Forest Villages as a research case, we gathered the evaluation digital footprints of visitors to the village with Python (version 3.12.0) and then used the ROST CM6 software and the semantic network analysis method to sort out the general characteristics of visitors’ perceptions of the village’s landscape. Finally, we constructed a multidimensional landscape perception model by studying precise details of passengers’ views of Xidi village on four dimensions: natural landscape, humanistic landscape, landscape environmental atmosphere, and emotional state. The findings show that travelers’ perceptions of Xidi village’s landscape primarily focus on scenery, architecture, and culture, with the humanistic landscape having the strongest degree of perception, the landscape environment atmosphere having the middle degree of perception, and the natural landscape having a weaker degree of perception. Most travelers have positive emotions, and commercialization and homogenization are negative factors that trigger negative emotions. The optimization recommendations for Xidi village’s landscape system are then offered in light of the study’s findings.