Chenfan Cai
Biographic Data
| ID | 4417662 |
|---|---|
| NAME | Chenfan Cai |
| GIVEN NAMES | Chenfan |
| FAMILY NAME | Cai |
| SIGNATURE | CAI C |
| AFFILIATIONS | University College London |
| ORCID | 0009-0007-5077-9111 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Rethinking urban shrinkage
As global urbanization enters the post-growth era, urban shrinkage has become increasingly prevalent, yet existing research often oversimplifies it as urban decline, overlooking the complexity and diversity of shrinkage processes. This study aims to systematically review global progress in shrinking cities research and reinterpret the essential characteristics and evolutionary patterns of urban shrinkage. The research employs a systematic literat…
Revealing disparities and driving factors in leisure activity segregation of residents and tourists
Activity-based segregation can lead to inequalities and exclusivity, hindering the inclusive construction of sustainable cities. However, few studies have delved into leisure segregation among residents and tourists across their full leisure activities. To address this gap, this paper examines Zhoushan, an island tourist city in China, aiming to quantify the leisure segregation of residents and tourists in the whole city, and to analyze the drivi…
Leveraging large language models for tourism research based on 5D framework
Experience-oriented travel models have posed new demands for optimizing urban environments to promote tourism development. This study introduced a natural language classification and scoring method to explore the relationship between tourism experiences and spatial characteristics. We found that online textual data can infer and represent physical spatial features. Our findings include: (1) Tourists perceive density from moving objects, with thre…
Plausible or misleading? Evaluating the adaption of the place pulse 2.0 dataset for predicting subjective perception in Chinese urban landscapes
Visual perception is crucial in human-centric spatial studies. Currently, Place Pulse dataset is widely used for subjective scoring of urban space. However, its local applicability raises questions due to limitations in data sources and participants. This study compares the performance of Place Pulse 2.0 and a local dataset from Shenzhen in predicting perceptions, exploring its feasibility for evaluating Chinese megacities. Street view images (SV…
Intergenerational spatial differentiation in neighborhood renewal
Research on spatial intergeneration focuses on qualitative analysis and framework development, lacking quantitative support. Understanding the relationship between spatial characteristics and intergenerational preferences remains challenging. The objective of this study is to clarify the specific phenomena of intergenerational segregation between young (18–35) and older (60+) residents in neighborhood streets in Shenzhen, and to explore the poten…
Plausible or misleading? Evaluating the adaption of the place pulse 2.0 dataset for predicting subjective perception in Chinese urban landscapes
Visual perception is crucial in human-centric spatial studies. Currently, Place Pulse dataset is widely used for subjective scoring of urban space. However, its local applicability raises questions due to limitations in data sources and participants. This study compares the performance of Place Pulse 2.0 and a local dataset from Shenzhen in predicting perceptions, exploring its feasibility for evaluating Chinese megacities. Street view images (SV…
Leveraging large language models for tourism research based on 5D framework
Experience-oriented travel models have posed new demands for optimizing urban environments to promote tourism development. This study introduced a natural language classification and scoring method to explore the relationship between tourism experiences and spatial characteristics. We found that online textual data can infer and represent physical spatial features. Our findings include: (1) Tourists perceive density from moving objects, with thre…
Revealing disparities and driving factors in leisure activity segregation of residents and tourists
Activity-based segregation can lead to inequalities and exclusivity, hindering the inclusive construction of sustainable cities. However, few studies have delved into leisure segregation among residents and tourists across their full leisure activities. To address this gap, this paper examines Zhoushan, an island tourist city in China, aiming to quantify the leisure segregation of residents and tourists in the whole city, and to analyze the drivi…
Leveraging large language models for tourism research based on 5D framework
Experience-oriented travel models have posed new demands for optimizing urban environments to promote tourism development. This study introduced a natural language classification and scoring method to explore the relationship between tourism experiences and spatial characteristics. We found that online textual data can infer and represent physical spatial features. Our findings include: (1) Tourists perceive density from moving objects, with thre…
Plausible or misleading? Evaluating the adaption of the place pulse 2.0 dataset for predicting subjective perception in Chinese urban landscapes
Visual perception is crucial in human-centric spatial studies. Currently, Place Pulse dataset is widely used for subjective scoring of urban space. However, its local applicability raises questions due to limitations in data sources and participants. This study compares the performance of Place Pulse 2.0 and a local dataset from Shenzhen in predicting perceptions, exploring its feasibility for evaluating Chinese megacities. Street view images (SV…
Intergenerational spatial differentiation in neighborhood renewal
Research on spatial intergeneration focuses on qualitative analysis and framework development, lacking quantitative support. Understanding the relationship between spatial characteristics and intergenerational preferences remains challenging. The objective of this study is to clarify the specific phenomena of intergenerational segregation between young (18–35) and older (60+) residents in neighborhood streets in Shenzhen, and to explore the poten…
Rethinking urban shrinkage
As global urbanization enters the post-growth era, urban shrinkage has become increasingly prevalent, yet existing research often oversimplifies it as urban decline, overlooking the complexity and diversity of shrinkage processes. This study aims to systematically review global progress in shrinking cities research and reinterpret the essential characteristics and evolutionary patterns of urban shrinkage. The research employs a systematic literat…
Geography (4 works) · Computer Science (3 works) · Human Mobility and Location-Based Analysis (3 works) · Urban Transport and Accessibility (3 works) · Archaeology (2 works) · Business (2 works) · Data science (2 works) · Economic geography (2 works) · Land Use and Ecosystem Services (2 works) · Psychology (2 works)