Xinyue Ye
Datos Biográficos
| ID | 3635653 |
|---|---|
| NOMBRE | Xinyue Ye |
| NOMBRES | Xinyue |
| APELLIDO | Ye |
| FIRMA | YE X |
| AFILIACIONES | Texas A&M University |
| ORCID | 0000-0001-8838-9476 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 121 |
| TOTAL DE CITAS | 253 |
| TOTAL COMO AUTOR | 120 |
| TOTAL COMO EDITOR | 1 |
| PRIMER AÑO DE PUBLICACIÓN | 2004 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 9 |
AIoT-enabled platform urbanism for smart city management
Urban environments are increasingly complex, dynamic, and data-intensive, requiring advanced spatial intelligence to support proactive, evidence-based governance. Current smart city and urban informatics platforms are limited by static datasets, siloed architectures, and underutilised AI capabilities. This study proposes and demonstrates a novel AIoT-enabled platform architecture for built environment mapping and spatial decision support. Anchore…
A pilot mobile application enhanced by augmented reality to support participatory CoDesign in shared public spaces
Public spaces are critical urban infrastructure, shaping everyday experiences and supporting sociocultural life. Public participation has long underpinned the planning, maintenance, and redesign of these spaces, yet most digital tools remain limited to conceptual experiments based on brief engagement rather than active participatory processes with sustained feedback loops for maintenance and incremental improvement in the long-term. In this resea…
Exploring factors influencing user Re-ride intentions in shared autonomous shuttle vehicles
Revealing time-sensitive latent public health and emotional distress topics in Reddit discourse during the 2025 Southern California wildfires
Wildfires have become increasingly frequent, irregular, and severe, contributing to diverse environmental health concerns across affected communities. Social media platforms offer an additional source of information for examining how the public discusses health risks and emotional distress during such events. This study analyzes Reddit discourse generated during the 2025 Southern California wildfires with a focus on content related to health and …
Leveraging connected vehicle data for near-crash detection and analysis in urban environments
Urban traffic safety is a pressing concern in modern transportation systems, especially in rapidly expanding metropolitan areas where traffic congestion and diverse driving behavior increase the risk of traffic incidents. As situations in which vehicles come close to colliding while in motion (i.e., drivers took rapid evasive action to avoid an actual crash), near-crash events offer more sensitive insight into underlying roadway safety risks than…
Evaluating probe-based data for travel demand analysis
Detecting cyber employment fraud in platform-based space
Comparing connected vehicle and mobile phone data for urban mobility analysis
Connected vehicle (CV) data are increasingly available and widely used in transportation engineering for traffic monitoring, safety analysis, and infrastructure planning. However, the representativeness of CV data in general urban mobility analysis remains underexplored, raising concerns about potential biases between observed mobility patterns in CV data and actual travel behaviors, particularly across different demographic and socioeconomic gro…
Imagining the city
Cybercrime Education in U.S. Criminology and Criminal Justice Doctoral Programs
FlowsDT
Communities worldwide increasingly confront flood hazards intensified by climate change, urban expansion, and environmental degradation. Addressing these challenges requires real-time flood analysis, precise flood forecasting, and robust risk communications with stakeholders to implement efficient mitigation strategies. Recent advances in hydrodynamic modeling and digital twins afford new opportunities for high-resolution flood simulation and vis…
Toward a human-centered energy transition
Effects of green space exposure on acute respiratory illness in community-dwelling older people
Increased out-of-home green space exposure was significantly associated with the reduced risk of acute respiratory illness (ARI) in a prospective cohort of community-dwelling older adults in Hong Kong. • The association of green space with ARI was more evident for taller shrubs and woodlands than for grassland. • The inverse relationship between green space exposure and ARI incidence was more pronounced in active transportation mode. Few studies …
Urban planning and IPCC-like city assessments integration for climate-resilient cities
The rapidly intensifying effects of climate change on urban settlements demand that cities move to the forefront of resilience planning. Climate extremes, from heatwaves to flooding, are increasingly testing the adaptability limits of urban systems and the vulnerability of their populations. Recognizing the unique position of cities, the IPCC’s seventh assessment cycle has prioritized urban areas in its upcoming Special Report on Climate Change a…
Exploring the impact of urban morphology on heat stress
Extreme heat poses significant environmental and health risks. These risks often disproportionately affect marginalized and disenfranchised communities. Neighborhood-scale planning is essential for addressing climate change through adaptation strategies. Currently, there is a lack of long-term weather data at the neighborhood level, limiting the ability to analyze localized weather trends and compare variations across areas. This gap persists due…
Unveiling multifaceted resilience
Resilience, denoting the capacity to swiftly recover to a state of normalcy subsequent to the occurrence of a disaster, constitutes a multifaceted phenomenon necessitating in-depth investigation. This study undertakes the quantification of resilience pertaining to specific locales through the utilization of heterogeneous data encompassing visitation patterns, demographic particulars, and points of interest (POI). A heterogeneous graph neural netw…
Generating conceptual landscape design via text-to-image generative AI model
This study explores the integration of text-to-image generative AI, particularly Stable Diffusion, in conjunction with ControlNet and LoRA models in conceptual landscape design. Traditional methods in landscape design are often time-consuming and limited by the designer’s individual creativity, also often lacking efficiency in the exploration of diverse design solutions. By leveraging AI tools, we demonstrate a workflow that efficiently generates…
Quantum AI Urbanism
Assessing the impact of maintenance condition on multifamily rents
Toward Ethical GeoDesign in the Urban Digital Twin Era
GeoDesign is undergoing a methodological shift through its integration with Urban Digital Twins (UDTs) and artificial intelligence (AI), moving from static spatial analysis to interactive and justice-oriented planning practices. This editorial reframes GeoDesign as both ethical and civic efforts. While digital twin technologies enable participatory planning and multiscalar data integration, they also raise concerns about bias, transparency, and g…
Integrating Urban Digital Twin with Cloud-Based Geospatial Dashboard for Coastal Resilience Planning
Coastal communities are confronted with a growing incidence of climate-induced flooding, necessitating adaptation measures for resilience. In this paper, we introduce a framework that integrates an urban digital twin with a geospatial dashboard to allow visualization of the vulnerabilities within critical infrastructure across a range of spatial and temporal scales. The synergy between these two technologies fosters heightened community awareness…
Integrating Spatiotemporal Vision Transformer into Digital Twins for High-Resolution Heat Stress Forecasting in Campus Environments
Extreme heat events, exacerbated by climate change, pose significant challenges to urban resilience and planning. This study introduces a climate-responsive digital twin framework integrating the Spatiotemporal Vision Transformer (ST-ViT) model to enhance heat stress forecasting and decision-making. Using a Texas campus as a testbed, we synthesized high-resolution physical model simulations with spatial and meteorological data to develop fine-sca…
Urban Synthetic Data for Whom? Shifting the Focus from Objects to People
Urban synthetic data has emerged as a transformative tool for planning research, yet its full potential remains constrained by an overwhelming focus on physical spaces and object recognition. Current digital twin analysis prioritizes built environments over human interactions, while privacy concerns in social media-based behavioral studies limit reproducibility. This commentary argues for a paradigm shift—one that integrates human vibrancy into u…
Artificial Intelligence in urban design
The Ethical Concerns of Artificial Intelligence in Urban Planning
Problem, research strategy, and findingsThe integration of a artificial intelligence (AI) into urban planning presents potential ethical challenges, including concerns about bias, transparency, accountability, privacy, and misinformation. As planners rely more on AI for decision making, the potential for these systems to perpetuate biases, obscure decision-making processes, and infringe on privacy becomes more pronounced, potentially undermining …
Check-in behaviour and spatio-temporal vibrancy
Spatial effects of accessibility to parks on housing prices in Shenzhen, China
Impacts of land use/land cover change and socioeconomic development on regional ecosystem services
Geospatial Analysis of Regional Development in China
The paper, based on extensive field work and surveys, analyzes in a GIS environment the multiscalar patterns and emerging clusters of regional development in Zhejiang Province (one of China's most rapidly growing) and Wenzhou Municipality (known for the Wenzhou Model of development based on private enterprise and rural industrialization). The authors first investigate the extent to which a traditional northeast-southwest divide has been replaced …
Analyzing requisition–compensation balance of farmland policy in China through telecoupling
Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green space
Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level
Massive social media data produced from microblog platforms provide a new data source for studying human dynamics at an unprecedented scale. Meanwhile, population bias in geotagged Twitter users is widely recognized. Understanding the demographic and socioeconomic biases of Twitter users is critical for making reliable inferences on the attitudes and behaviors of the population. However, the existing global models cannot capture the regional vari…
Effects of urbanization on ecosystem service values in a mineral resource-based city
Beyond Convergence
Since the late 1980s there has been a renewed interest in regional inequality, fuelled by the concern over the effects of globalisation and liberalisation, and facilitated by theoretical and methodological developments in geography and economics. In essence, the new convergence theory, like the old convergence theory, is another theory devoid of space and time. Research on China has unfolded a complex landscape of regional development, the existe…
Delineating and modeling activity space using geotagged social media data
It has become increasingly important in spatial equity studies to understand activity spaces – where people conduct regular out-of-home activities. Big data can advance the identification of activity spaces and the understanding of spatial equity. Using the Los Angeles metropolitan area for the case study, this paper employs geotagged Twitter data to delineate activity spaces with two spatial measures: first, the average distance between users’ h…
Advancing Process-Oriented Geographical Regionalization Model
Existing regionalization methods have largely overlooked the temporal dimension, leading to outcomes that predominantly reflect spatial differentiation of regional variables only at a singular temporal instance, rather than across their entire evolutionary process. In response, this research proposes a novel model for geographic process regionalization based on spatial time-series (STS) data. This model is designed to amalgamate adjacent entities…
Evaluating the effect of city lock-down on controlling Covid-19 propagation through deep learning and network science models
Analyzing urban development patterns based on the flow analysis method
Regional Inequality in China
Most studies on regional inequality in China are based on macro regions and provinces. Studies on intraprovincial inequality remain limited, although there is a growing literature on Guangdong and Jiangsu. Zhejiang is a leading coastal province of China experiencing rapid economic growth and has been known for its Wenzhou model of development based on private enterprises. This paper uses time‐series county data to examine regional inequalities in…
Toward Urban Artificial Intelligence for Developing Justice-Oriented Smart Cities
Evaluating the Effects of Landscape on Housing Prices in Urban China
The rapid urbanisation of China has received growing attention regarding its urban residential environments. In this article, we model the spatial heterogeneity of housing prices and explore the spatial discrepancy of landscape effects on property values in Shenzhen, a large Chinese city. In contrast to previous studies, this paper integrates the official housing transaction records and housing attributes from open data along with field surveys. …
The Ethical Concerns of Artificial Intelligence in Urban Planning
Problem, research strategy, and findingsThe integration of a artificial intelligence (AI) into urban planning presents potential ethical challenges, including concerns about bias, transparency, accountability, privacy, and misinformation. As planners rely more on AI for decision making, the potential for these systems to perpetuate biases, obscure decision-making processes, and infringe on privacy becomes more pronounced, potentially undermining …
Natural Experiments in Planning Research
Assessing wild fire risk in the United States using social media data
Massive Geo-tagged social media data provide new opportunities for disaster risk assessment, prevention, and management. This article presents a proof of concept for assessing wildfire risk using Geo-tagged social media data, by taking wildfire risk as a function of wildfire hazard and social–ecological vulnerability. The case study of the United States shows that the regions with the highest wildfire hazard are concentrated in the Western, while…
The new data landscape for regional and urban analysis
Repeat and near-repeat burglaries and offender involvement in a large Chinese city
Repeat and near-repeat phenomena indicate that victimization might form a contagion-like pattern in both near space and near time. The research community has built abundant empirical evidence of repeat and near-repeat patterns over the past 10 years. Along with these pattern analyses, scholars have also proposed theoretical explanation of the mechanisms of near-repeat burglaries. However, the empirical study of mechanisms is very limited and almo…
An extended spatiotemporal exposure index for urban racial segregation
The Segregation Index quantifies the degree of segregation of social groups or classes. Because of the increasing use of fine-grained spatiotemporal activity and flow data, the conventional segregation measurements’ inclusiveness is challenged. We add population flow to the conventional place-based spatial exposure index to identify spatiotemporal segregation changes. Specifically, we considered the population-flow network, hierarchical structure…
Space, time, and situational awareness in natural hazards
Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integr…
I just might kill myself”
In order to examine how Twitter can be a significant indicator of how suicidal thoughts occur and spread, we used content analysis to analyze 4524 Twitter messages. Although expressions of "wanting to die" occurred frequently, most of the tweets appeared to be non-threatening. In addition, discussions about suicide on Twitter mostly involved sharing suicide prevention resources with fellow users. This finding suggests that Twitter could offer an …
Conflicts and regional culture
Regional Inequality in China
Most studies on regional inequality in China are based on macro regions and provinces. Studies on intraprovincial inequality remain limited, although there is a growing literature on Guangdong and Jiangsu. Zhejiang is a leading coastal province of China experiencing rapid economic growth and has been known for its Wenzhou model of development based on private enterprises. This paper uses time‐series county data to examine regional inequalities in…
Regional Inequality in China
Most studies on regional inequality in China are based on macro regions and provinces. Studies on intraprovincial inequality remain limited, although there is a growing literature on Guangdong and Jiangsu. Zhejiang is a leading coastal province of China experiencing rapid economic growth and has been known for its Wenzhou model of development based on private enterprises. This paper uses time-series county data to examine regional inequalities in…
Geospatial Analysis of Regional Development in China
The paper, based on extensive field work and surveys, analyzes in a GIS environment the multiscalar patterns and emerging clusters of regional development in Zhejiang Province (one of China's most rapidly growing) and Wenzhou Municipality (known for the Wenzhou Model of development based on private enterprise and rural industrialization). The authors first investigate the extent to which a traditional northeast-southwest divide has been replaced …
Beyond Convergence
Since the late 1980s there has been a renewed interest in regional inequality, fuelled by the concern over the effects of globalisation and liberalisation, and facilitated by theoretical and methodological developments in geography and economics. In essence, the new convergence theory, like the old convergence theory, is another theory devoid of space and time. Research on China has unfolded a complex landscape of regional development, the existe…
New Directions in Regional Economic Development
Knowledge Discovery in Spatial Data
Knowledge Discovery in Spatial Data, Yee Leung, Springer, Berlin (2009). xxix + 360 pp. €129.95, US$179.00 (hbk). ISBN: 978-3-642-02663-8. In the current information and knowledge age, the importan
Portfolios of the Poor
Portfolios of the Poor: How the World's Poor Live on $2 a Day. By Daryl Collins, Jonathan Morduch, Stuart Rutherford, and Orlanda Ruthven. Princeton, NJ: Princeton University Press, 2009, 320 pp
Education and Inequality Across Europe
Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China
Impacts of land use/land cover change and socioeconomic development on regional ecosystem services
Repeat and near-repeat burglaries and offender involvement in a large Chinese city
Repeat and near-repeat phenomena indicate that victimization might form a contagion-like pattern in both near space and near time. The research community has built abundant empirical evidence of repeat and near-repeat patterns over the past 10 years. Along with these pattern analyses, scholars have also proposed theoretical explanation of the mechanisms of near-repeat burglaries. However, the empirical study of mechanisms is very limited and almo…
Uncovering peer effects mechanisms with weight outcomes using spatial econometrics
Research about how peers influence weight outcomes among adolescents has yielded mixed findings. This paper seeks to not only estimate these peer effects, but also to distinguish between two mechanisms: social multiplier effects and social norm effects. After estimating an augmented spatial autoregressive model using data from the National Longitudinal Study of Adolescent to Adult Health Survey, this study finds significant peer interactions in b…
SpMorph
Geographical agglomeration and co-agglomeration of exporters and nonexporters in China
Effects of urbanization on ecosystem service values in a mineral resource-based city
An Empirical Analysis of Arrests and Executions at S-21 Security-Center During the Cambodian Genocide
During the Cambodian genocide (1975–1979), approximately 200 security-centers were established by the Khmer Rouge. One of these institutions, designated by the code-name S-21, had the primary responsibility of punishing individuals deemed ‘guilty’ of crimes against the state. Much research has examined S-21, albeit from the standpoint of its symbolic importance or the conversion of the site into a museum of genocide; less research has empirically…
Integrating big social data, computing and modeling for spatial social science
In the past decade, the social sciences are undergoing a dramatic shift toward analyzing ever-increasing amounts of large-scale diverse data with rich spatial, temporal, and thematic resolution (Sh
Emerging data sources and the study of genocide
Implementing a real-time Twitter-based system for resource dispatch in disaster management
Spatiotemporal analyses of religious establishments in coastal China
The new data landscape for regional and urban analysis
Uneven Regional Development Under Balanced Development Strategies
Many questions regarding local economic phenomena involve issues of spatial and temporal dependence and heterogeneity. One of the main ideas of the socialist market economic system which was set up in 1978 in China is ‘those becoming rich earlier bring along other people, all achieving the common richer eventually’. However, after several decades, having performed a series of balanced development strategies and policies, is this purpose true or n…
Spatial Aspects of Restrictions on Registered Sex Offenders
Restrictions in the on registered sex offenders (s) are examined from the spatial aspects. The long history of various restrictions imposed by government, particularly local ones, is covered in the introduction. Spatial aspects, such as delineation of zones from which certain activities or certain people are excluded is the focus. Then the nature of restrictions on s is considered at the state, county and municipal level. Typical of restrictions …
Spatiotemporal Evolution of Specialized Villages and Rural Development
Regional economic development is inherently uneven as determined by the local conditions and available resources. Specialized villages (SVs) in China played a very important role in the development and economic transformation in rural areas. By integrating regional spatial structure theory, multilevel network theory, and spatial interface theory, this article examines the spatial and temporal evolution of SVs in Henan Province, China. Results fro…
Spatial Econometrics
Spatial econometrics is a fast‐growing and rapidly expanding field in quantitative social sciences. In 1979, Paelinck and Klaassen defined the specificity of spatial econometrics. Anselin (in 1988) formally established the theoretical and methodological framework. This field provides a set of tools to model the interaction and measure the spillover effects among a group of spatial units with particular attention to location, spatial structure, an…
Geography (71 obras) · Computer Science (62 obras) · Engineering (31 obras) · Political science (31 obras) · Human Mobility and Location-Based Analysis (29 obras) · Economic geography (28 obras) · Economics (28 obras) · China (26 obras) · Regional science (22 obras) · Sociology (22 obras)