Jin Rui
Biographic Data
| ID | 4417661 |
|---|---|
| NAME | Jin Rui |
| GIVEN NAMES | Jin |
| FAMILY NAME | Rui |
| SIGNATURE | RUI J |
| AFFILIATIONS | TU Dortmund University |
| ORCID | 0000-0002-0926-0947 |
| VERIFIED | Yes |
| TOTAL WORKS | 27 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 27 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Can satellite LST capture cyclist heat risk? Street-view infrared inference reveals hidden thermal exposure along Melbourne’s cycling network
Decoding the spatiotemporal cascade effects of compound heat-flood risks in a sinking coastal city
Unveiling spatiotemporal mechanisms of urban traffic
The digital economy enhances overall life satisfaction but reduces equity among vulnerable groups
With the deepening of urban digitalization, existing research has focused on the growth effects of the digital economy, while paying less attention to its impact on residents' life satisfaction and equity, particularly among vulnerable groups. This study aims to address these gaps by integrating the dual perspectives of regional disparities and characteristics of vulnerable groups, and by examining the impact mechanisms of the digital economy on …
Street-level monitoring of urban tactile paving obstructions through visual-language models and street view imagery
Tactile paving is vital infrastructure for safe mobility among 2.2 billion visually impaired individuals worldwide, but in complex urban environments it faces both static damage and dynamic encroachment. This study develops an intelligent evaluation framework that integrates visual-language models (VLMs) with pedestrian-view street imagery to assess tactile paving usability around urban metro stations. Using GPT-4o and GoPro-collected imagery, we…
One city, two heats
Green in isolation
Urban green spaces are crucial for the health and well-being of residents. However, green planning in isolated urban informal neighborhoods might exacerbate spatial inequalities, leading to green gentrification and stigmatization. Understanding the nonlinear and continuous relationships between green environments and residents' satisfaction within segregated areas remains challenging. This study established an interpretable spatial machine learni…
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…
Artificial intelligence applications in urban extreme heat management
Against the backdrop of global warming and rapid urbanization, urban extreme heat is becoming increasingly severe, with profound impacts on public health, infrastructure, and social equity. Advances in artificial intelligence (AI) offer new opportunities to address this challenge. This systematic review examines 102 publications on AI applications in urban extreme heat governance. The findings reveal a “Northern bias,” with most studies in the Un…
From agglomeration to downgrading
Against the backdrop of sustained economic growth, certain regions and consumption sectors in China have exhibited downgrading trends, yet existing research lacks exploration of the characteristics of different consumption forms and their spatial drivers. This study analyzes the spatial differentiation of online and offline consumption downgrading in 289 Chinese cities from 2018 to 2023, and explores the mechanisms of multidimensional socioeconom…
Estimating road speed classes
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…
Revealing the impact of urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning
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…
Marginalized but equal? An investigation of visible green equity disparities in marginalized residents' daily commutes and its potential green solutions
Existing quantification of green equity focused on static spatial measures, neglecting the dynamics of residents' behavior. This study introduces a novel method based on residents' daily commute trajectories to identify visible green exposure and equity, distinguishing between marginalized and formal settlements. We employed Lasso regression and LightGBM models to demonstrate the contributions of 2D green landscape patterns and 3D green morpholog…
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…
Paying lip service? An investigation into the spatial mismatch between younger and older adults' streetscape perceptual preference and visitation behavior
Do intergenerationally claimed spatial preferences necessarily translate into actual visitation behaviors? This study aims to uncover the phenomenon of “dissonance between perception and behavior” among younger and older adults in Shenzhen's streetscapes—specifically, the spatial mismatch and generational differences between perceived satisfaction and actual visitation patterns. Using computer vision techniques and online surveys grounded in Atte…
Green disparities, happiness elusive
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…
Encouraging cycling through the improvement of streetscape perception
Decoding vibrant neighborhoods
The mitigating effect of green Space's spatial and temporal patterns on the urban heat island in the context of urban densification
Explored the spatiotemporal pattern of urban green spaces in mitigating heat islands. • Coupling coordination between urban green space and urban temperature are measured. • Densification in coordination coupling degree showed a global negative correlation. • Compared the impacts of multiple factors on green space quality. Growing evidence highlights a strong link between urban densification and urban heat island (UHI) effects. However, there is …
Beyond built environment
As an important means of shared micro-mobility, shared bicycles have become a crucial component of urban transportation in China. The impact of the built environment on bicycling has been widely acknowledged. However, can streetscape perceptions influence bicycle-sharing volume (BSV) and supplement the built environment? We first obtained millions of pieces of shared-cycling data from the Shenzhen Open Data Platform and carried out geographical q…
Deciphering urban bike-sharing patterns
Bike-sharing offers a convenient and sustainable mode of transportation. Numerous studies have investigated the influence of temporal variations in the natural environment on cycling, as well as the impact of physical street characteristics like networks and infrastructures. However, few studies integrated and compared the effects of natural environment and street visual quality on cycling in the spatial dimension. As a case study, we focused on …
Destigmatizing urban villages by examining their attractiveness
While existing social and political research has qualitatively discussed the stigmatization of urban villages (UVs), there's a lack of quantitative support. This study innovatively attempts to provide quantitative evidence, employing a spatial perspective for the destigmatization of UVs. We integrated population trajectory, GDP data, employment and residential points of interest, and developed a spatial gravity model to derive the spatial attract…
Measuring streetscape perceptions from driveways and sidewalks to inform pedestrian-oriented street renewal in Düsseldorf
The measurement of urban streetscape quality facilitates the identification of street regeneration. The emerging Street View image and semantic segmentation techniques have recently proven considerable assistance for investigating urban spatial quality. However, current studies using Google Street View (GSV) cannot explicitly reflect pedestrian perceptions, as GSVs are taken from a driveway perspective, which differs significantly from the pedest…
Green disparities, happiness elusive
Deciphering urban bike-sharing patterns
Bike-sharing offers a convenient and sustainable mode of transportation. Numerous studies have investigated the influence of temporal variations in the natural environment on cycling, as well as the impact of physical street characteristics like networks and infrastructures. However, few studies integrated and compared the effects of natural environment and street visual quality on cycling in the spatial dimension. As a case study, we focused on …
Marginalized but equal? An investigation of visible green equity disparities in marginalized residents' daily commutes and its potential green solutions
Existing quantification of green equity focused on static spatial measures, neglecting the dynamics of residents' behavior. This study introduces a novel method based on residents' daily commute trajectories to identify visible green exposure and equity, distinguishing between marginalized and formal settlements. We employed Lasso regression and LightGBM models to demonstrate the contributions of 2D green landscape patterns and 3D green morpholog…
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…
Destigmatizing urban villages by examining their attractiveness
While existing social and political research has qualitatively discussed the stigmatization of urban villages (UVs), there's a lack of quantitative support. This study innovatively attempts to provide quantitative evidence, employing a spatial perspective for the destigmatization of UVs. We integrated population trajectory, GDP data, employment and residential points of interest, and developed a spatial gravity model to derive the spatial attract…
Exploring the association between the settlement environment and residents’ positive sentiments in urban villages and formal settlements in Shenzhen
Measuring streetscape perceptions from driveways and sidewalks to inform pedestrian-oriented street renewal in Düsseldorf
The measurement of urban streetscape quality facilitates the identification of street regeneration. The emerging Street View image and semantic segmentation techniques have recently proven considerable assistance for investigating urban spatial quality. However, current studies using Google Street View (GSV) cannot explicitly reflect pedestrian perceptions, as GSVs are taken from a driveway perspective, which differs significantly from the pedest…
Encouraging cycling through the improvement of streetscape perception
Decoding vibrant neighborhoods
The mitigating effect of green Space's spatial and temporal patterns on the urban heat island in the context of urban densification
Explored the spatiotemporal pattern of urban green spaces in mitigating heat islands. • Coupling coordination between urban green space and urban temperature are measured. • Densification in coordination coupling degree showed a global negative correlation. • Compared the impacts of multiple factors on green space quality. Growing evidence highlights a strong link between urban densification and urban heat island (UHI) effects. However, there is …
Beyond built environment
As an important means of shared micro-mobility, shared bicycles have become a crucial component of urban transportation in China. The impact of the built environment on bicycling has been widely acknowledged. However, can streetscape perceptions influence bicycle-sharing volume (BSV) and supplement the built environment? We first obtained millions of pieces of shared-cycling data from the Shenzhen Open Data Platform and carried out geographical q…
Deciphering urban bike-sharing patterns
Bike-sharing offers a convenient and sustainable mode of transportation. Numerous studies have investigated the influence of temporal variations in the natural environment on cycling, as well as the impact of physical street characteristics like networks and infrastructures. However, few studies integrated and compared the effects of natural environment and street visual quality on cycling in the spatial dimension. As a case study, we focused on …
Destigmatizing urban villages by examining their attractiveness
While existing social and political research has qualitatively discussed the stigmatization of urban villages (UVs), there's a lack of quantitative support. This study innovatively attempts to provide quantitative evidence, employing a spatial perspective for the destigmatization of UVs. We integrated population trajectory, GDP data, employment and residential points of interest, and developed a spatial gravity model to derive the spatial attract…
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…
Revealing the impact of urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning
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…
Marginalized but equal? An investigation of visible green equity disparities in marginalized residents' daily commutes and its potential green solutions
Existing quantification of green equity focused on static spatial measures, neglecting the dynamics of residents' behavior. This study introduces a novel method based on residents' daily commute trajectories to identify visible green exposure and equity, distinguishing between marginalized and formal settlements. We employed Lasso regression and LightGBM models to demonstrate the contributions of 2D green landscape patterns and 3D green morpholog…
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…
Paying lip service? An investigation into the spatial mismatch between younger and older adults' streetscape perceptual preference and visitation behavior
Do intergenerationally claimed spatial preferences necessarily translate into actual visitation behaviors? This study aims to uncover the phenomenon of “dissonance between perception and behavior” among younger and older adults in Shenzhen's streetscapes—specifically, the spatial mismatch and generational differences between perceived satisfaction and actual visitation patterns. Using computer vision techniques and online surveys grounded in Atte…
Green disparities, happiness elusive
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…
Can satellite LST capture cyclist heat risk? Street-view infrared inference reveals hidden thermal exposure along Melbourne’s cycling network
Decoding the spatiotemporal cascade effects of compound heat-flood risks in a sinking coastal city
Unveiling spatiotemporal mechanisms of urban traffic
The digital economy enhances overall life satisfaction but reduces equity among vulnerable groups
With the deepening of urban digitalization, existing research has focused on the growth effects of the digital economy, while paying less attention to its impact on residents' life satisfaction and equity, particularly among vulnerable groups. This study aims to address these gaps by integrating the dual perspectives of regional disparities and characteristics of vulnerable groups, and by examining the impact mechanisms of the digital economy on …
Street-level monitoring of urban tactile paving obstructions through visual-language models and street view imagery
Tactile paving is vital infrastructure for safe mobility among 2.2 billion visually impaired individuals worldwide, but in complex urban environments it faces both static damage and dynamic encroachment. This study develops an intelligent evaluation framework that integrates visual-language models (VLMs) with pedestrian-view street imagery to assess tactile paving usability around urban metro stations. Using GPT-4o and GoPro-collected imagery, we…
One city, two heats
Green in isolation
Urban green spaces are crucial for the health and well-being of residents. However, green planning in isolated urban informal neighborhoods might exacerbate spatial inequalities, leading to green gentrification and stigmatization. Understanding the nonlinear and continuous relationships between green environments and residents' satisfaction within segregated areas remains challenging. This study established an interpretable spatial machine learni…
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…
Artificial intelligence applications in urban extreme heat management
Against the backdrop of global warming and rapid urbanization, urban extreme heat is becoming increasingly severe, with profound impacts on public health, infrastructure, and social equity. Advances in artificial intelligence (AI) offer new opportunities to address this challenge. This systematic review examines 102 publications on AI applications in urban extreme heat governance. The findings reveal a “Northern bias,” with most studies in the Un…
Geography (13 works) · Urban Transport and Accessibility (13 works) · Urban Green Space and Health (11 works) · Psychology (9 works) · Computer Science (7 works) · Engineering (7 works) · Land Use and Ecosystem Services (7 works) · Urban Heat Island Mitigation (7 works) · Civil engineering (6 works) · Perception (6 works)