Yeran Sun
Biographic Data
| ID | 6312999 |
|---|---|
| NAME | Yeran Sun |
| GIVEN NAMES | Yeran |
| FAMILY NAME | Sun |
| SIGNATURE | SUN Y |
| AFFILIATIONS | Swansea University |
| ORCID | 0000-0002-6847-614X |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 17 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Landslide susceptibility under two decades of land use change (2000–2020)
To address the insufficient consideration of dynamic driving factors in landslide susceptibility mapping (LSM), this study investigates the contribution of land use and land cover change (LUCC) to the spatial distribution of landslides in Sichuan Province, China, a region highly prone to geological hazards. An XGBoost model was used to integrate multi-source spatial data within a unified 30 m grid to produce a province-wide susceptibility map. SH…
Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion
Bus networks are a crucial support for urban commuting. By studying the evolutionary characteristics of bus networks, we can uncover their development patterns, coverage efficiency, and changes in regional balance, providing a scientific basis for sustainable urban development and the optimization of transportation resources. This study systematically analyzes the spatiotemporal evolution characteristics of the bus network in Beijing from 2006 to…
From land-based to people-based
Characteristics and driving factors of carbon emissions in China
Many regions or countries seek to transition to a low-carbon economy, but there is ambiguity about how carbon emissions change with economic growth. This paper captures characteristics of carbon emissions in China using the Tapio Method. To detect driving factors of carbon emissions in economic growth, we adopt the Log-Mean Divisia Index decomposition method. The results of the paper are as follows: (1) Economic growth in most regions of China ha…
Building use-wellbeing associations
A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
The 3D laser scanning technique is important for cultural heritage documentation. The laser itself normally does not carry any color information, so it usually requires an embedded camera system to colorize the point cloud. However, when the embedded camera system fails to perform properly under some external interferences, a post-scan colorization method is always desired to improve the point cloud visuality. This paper presents a simple but eff…
Spatial Patterns of Covid-19 Incidence in Relation to Crime Rate Across London
COVID-19 containment policies are not only curbing the spread of COVID-19 but also changing human behavior. According to the routine activity theory, owing to lockdown, the closure of entertainment sites (e.g., pubs and bars), an increase in stay-at-home time, and an increase in police patrols are likely to influence chance of committing a crime. In this study, we aimed to further examine the spatial association of COVID-19 infection rate and cri…
Modeling Local-Scale Violent Crime Rate
Environmental factors have both direct and indirect impacts on crime behavior decision making. This study aimed to examine to what degree the occurrences of violent crimes can be affected by social and built environment over space. Although a few studies have attempted to model crime rate using spatial regression models, there is a lack of comparison of spatial regression models. Particularly, the eigenvector spatial filtering type of spatial reg…
Public transport availability inequalities and transport poverty risk across England
The general transit feed specification is becoming a popular data format for the publication of public transport schedules, making possible the collection of a nation-wide public transport schedule dataset, which enables monitoring of transit supply at an up-to-date and more precise level across a country than previously possible. In this paper, we use general transit feed specification data to measure local-scale public transport availability ac…
Spatial Patterns of Childhood Obesity Prevalence in Relation to Socioeconomic Factors across England
To examine to what extent spatial inequalities in childhood obesity are attributable to spatial inequalities in socioeconomic characteristics across a country, we aimed to investigate the spatial associations of socioeconomic characteristics and childhood obesity. We first explored spatial patterns of childhood obesity prevalence, and subsequently investigated the spatial associations of socioeconomic factors and childhood obesity prevalence acro…
Uber Movement Data
Recently, Uber released datasets named Uber Movement to the public in support of urban planning and transportation planning. To prevent user privacy issues, Uber aggregates car GPS traces into small areas. After aggregating car GPS traces into small areas, Uber releases free data products that indicate the average travel times of Uber cars between two small areas. The average travel times of Uber cars in the morning peak time periods on weekdays …
A New Approach to Refining Land Use Types
The information of land use plays an important role in urban planning and optimizing the allocation of resources. However, traditional land use classification is imprecise. For instance, the type of commercial land is highly filled with the categories of shopping, eating, etc. The number of mixed-use lands is increasingly growing nowadays, and these lands sometimes are too mixed to be well investigated by conventional approaches such as remote se…
A risk analysis framework for transmission towers under potential pluvial flood - LiDAR survey and geometric modelling
Estimating local-scale urban heat island intensity using nighttime light satellite imageries
Contextualized effects of Park access and usage on residential satisfaction
Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure
With the development of information and communications technology, user-generated content and crowdsourced data are playing a large role in studies of transport and public health. Recently, Strava, a popular website and mobile app dedicated to tracking athletic activity (cycling and running), began offering a data service called Strava Metro, designed to help transportation researchers and urban planners to improve infrastructure for cyclists and…
Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data
Policymakers pay much attention to effectively increasing frequency of people's cycling in the context of developing sustainable and green cities. Investigating associations of environmental characteristics and cycling behaviour could offer implications for changing urban infrastructure aiming at encouraging active travel. However, earlier examinations of associations between environmental characteristics and active travel behaviour are limited b…
Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure
With the development of information and communications technology, user-generated content and crowdsourced data are playing a large role in studies of transport and public health. Recently, Strava, a popular website and mobile app dedicated to tracking athletic activity (cycling and running), began offering a data service called Strava Metro, designed to help transportation researchers and urban planners to improve infrastructure for cyclists and…
Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data
Policymakers pay much attention to effectively increasing frequency of people's cycling in the context of developing sustainable and green cities. Investigating associations of environmental characteristics and cycling behaviour could offer implications for changing urban infrastructure aiming at encouraging active travel. However, earlier examinations of associations between environmental characteristics and active travel behaviour are limited b…
Spatial Patterns of Childhood Obesity Prevalence in Relation to Socioeconomic Factors across England
To examine to what extent spatial inequalities in childhood obesity are attributable to spatial inequalities in socioeconomic characteristics across a country, we aimed to investigate the spatial associations of socioeconomic characteristics and childhood obesity. We first explored spatial patterns of childhood obesity prevalence, and subsequently investigated the spatial associations of socioeconomic factors and childhood obesity prevalence acro…
Uber Movement Data
Recently, Uber released datasets named Uber Movement to the public in support of urban planning and transportation planning. To prevent user privacy issues, Uber aggregates car GPS traces into small areas. After aggregating car GPS traces into small areas, Uber releases free data products that indicate the average travel times of Uber cars between two small areas. The average travel times of Uber cars in the morning peak time periods on weekdays …
A New Approach to Refining Land Use Types
The information of land use plays an important role in urban planning and optimizing the allocation of resources. However, traditional land use classification is imprecise. For instance, the type of commercial land is highly filled with the categories of shopping, eating, etc. The number of mixed-use lands is increasingly growing nowadays, and these lands sometimes are too mixed to be well investigated by conventional approaches such as remote se…
A risk analysis framework for transmission towers under potential pluvial flood - LiDAR survey and geometric modelling
Estimating local-scale urban heat island intensity using nighttime light satellite imageries
Contextualized effects of Park access and usage on residential satisfaction
A Post-Scan Point Cloud Colorization Method for Cultural Heritage Documentation
The 3D laser scanning technique is important for cultural heritage documentation. The laser itself normally does not carry any color information, so it usually requires an embedded camera system to colorize the point cloud. However, when the embedded camera system fails to perform properly under some external interferences, a post-scan colorization method is always desired to improve the point cloud visuality. This paper presents a simple but eff…
Spatial Patterns of Covid-19 Incidence in Relation to Crime Rate Across London
COVID-19 containment policies are not only curbing the spread of COVID-19 but also changing human behavior. According to the routine activity theory, owing to lockdown, the closure of entertainment sites (e.g., pubs and bars), an increase in stay-at-home time, and an increase in police patrols are likely to influence chance of committing a crime. In this study, we aimed to further examine the spatial association of COVID-19 infection rate and cri…
Modeling Local-Scale Violent Crime Rate
Environmental factors have both direct and indirect impacts on crime behavior decision making. This study aimed to examine to what degree the occurrences of violent crimes can be affected by social and built environment over space. Although a few studies have attempted to model crime rate using spatial regression models, there is a lack of comparison of spatial regression models. Particularly, the eigenvector spatial filtering type of spatial reg…
Public transport availability inequalities and transport poverty risk across England
The general transit feed specification is becoming a popular data format for the publication of public transport schedules, making possible the collection of a nation-wide public transport schedule dataset, which enables monitoring of transit supply at an up-to-date and more precise level across a country than previously possible. In this paper, we use general transit feed specification data to measure local-scale public transport availability ac…
Building use-wellbeing associations
Characteristics and driving factors of carbon emissions in China
Many regions or countries seek to transition to a low-carbon economy, but there is ambiguity about how carbon emissions change with economic growth. This paper captures characteristics of carbon emissions in China using the Tapio Method. To detect driving factors of carbon emissions in economic growth, we adopt the Log-Mean Divisia Index decomposition method. The results of the paper are as follows: (1) Economic growth in most regions of China ha…
Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion
Bus networks are a crucial support for urban commuting. By studying the evolutionary characteristics of bus networks, we can uncover their development patterns, coverage efficiency, and changes in regional balance, providing a scientific basis for sustainable urban development and the optimization of transportation resources. This study systematically analyzes the spatiotemporal evolution characteristics of the bus network in Beijing from 2006 to…
From land-based to people-based
Landslide susceptibility under two decades of land use change (2000–2020)
To address the insufficient consideration of dynamic driving factors in landslide susceptibility mapping (LSM), this study investigates the contribution of land use and land cover change (LUCC) to the spatial distribution of landslides in Sichuan Province, China, a region highly prone to geological hazards. An XGBoost model was used to integrate multi-source spatial data within a unified 30 m grid to produce a province-wide susceptibility map. SH…
Geography (15 works) · Urban Transport and Accessibility (9 works) · Computer Science (8 works) · Cartography (6 works) · Environmental Science (6 works) · Engineering (5 works) · Mathematics (5 works) · Sociology (5 works) · Business (4 works) · China (4 works)