Yanqing Xu
Biographic Data
| ID | 3635802 |
|---|---|
| NAME | Yanqing Xu |
| GIVEN NAMES | Yanqing |
| FAMILY NAME | Xu |
| SIGNATURE | XU Y |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0002-5004-9975 |
| VERIFIED | Yes |
| TOTAL WORKS | 34 |
| TOTAL CITATIONS | 34 |
| AUTHOR COUNT | 34 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Is information asymmetry alleviation always beneficial for tourism: The institutional paradox from social credit construction
Controversies persist regarding the economic evidence on whether information asymmetry alleviation at the macro-institutional level impacts tourism. This note constructs a theoretical derivation from the dual perspectives of tourism economic scale and industrial status and ingeniously leverage China’s Social Credit Construction (SCC) as a quasi-natural experiment for empirical investigation. Findings reveal that SCC-driven alleviation of informat…
Unpacking asthma risks: A multi-level spatial analysis of social determinants of health in the U.S
When Kin Become Killers: Bride Price Violence and Gendered Power in China
Purpose Two research questions guide this study: To what extent does kinship influence the severity of violence in bride price-related family violence? Then, are there structured gender differences in such violence? Methods Guided by family systems theory and feminist perspectives, 567 bride price–related criminal cases from China Judgements Online were analyzed. Chi-square test and logistic regression models were employed in this study to test h…
Decision support model for evaluating renewal strategies to enhance the vitality of historical districts
The renewal of historic districts requires a delicate balance between preserving cultural heritage and stimulating urban vitality. However, existing evaluation mechanisms often fail to systematically translate qualitative stakeholder demands into actionable technical parameters, leading to subjective or fragmented decision-making. To address this gap, this study proposes a quantitative Decision Support Model (DSM) that integrates Quality Function…
What's the fair share? A systematic approach to assessing educational resource allocation in Henan, China
Developed a framework balancing equity and efficiency in educational resource allocation. • Middle school education showed more instability and regional disparities than primary education. • Found a coupling effect between equity and efficiency in resource allocation processes. • Policy recommendations include promoting innovation and improving management for balanced allocation. Educational equity remains a critical concern for scholars worldwid…
Tourist influx and crime risk during mega-events: A predictive model for the 2026 Fifa World Cup in Mexico City
Unraveling the Nexus: How street network morphology influences crime in Detroit
Urban streets are primary settings for criminal activities. Although prior studies have examined various environmental factors influencing criminal behavior, insufficient attention has been paid to street configurational types within street network morphology. To address this gap, this study employs kernel density estimation and spatial autocorrelation to analyze the spatial distribution patterns of assault, robbery, larceny, and motor vehicle th…
Street View Image-Based Emotional Perception Modeling of Old Residential Communities: An Explainable Framework Integrating Random Forest and SHAP
Understanding how the built environment shapes residents’ emotional perceptions in old residential communities (ORCs) is essential for enhancing livability and supporting people-oriented urban regeneration. This study proposes an explainable analytical framework that integrates community attributes, streetscape indicators, and subjective evaluations. Using random forest (RF) regression combined with Shapley Additive Explanations (SHAP), we conduc…
Where drinks and danger meet: Analyzing the spatial link between Bars and crime in Detroit
AdvUNet3: Segmentation of city-scale heterogeneous building façade materials from street view images
Impact of Different Greenspace Metrics on Cardiovascular Disease Incidence in Urban Settings: A Comparative Analysis
Day and night: Evaluating the impact of CCTV and street lighting on urban crime prevention in Detroit
Heterogeneous effects of artificial light at night on sleep and mental health: 2SLS augmented geospatial data modeling and geo-correlation analysis
Less is more: How effective is the joint effect on CCTV crime reduction
Prediction of Commercial Street Location Based on Point of Interest (POI) Big Data and Machine Learning
Identifying optimal locations for sustainable commercial street development is crucial for driving economic growth and enhancing social vitality in cities. This study proposes a data-driven approach to predict potential sites for commercial streets in Foshan City, China, utilizing Points of Interest (POI) big data and machine learning techniques. Decision tree algorithms are employed to quantitatively assess and predict optimal locations at a fin…
Emerging climate threats to the Mississippi River Delta: Moving from restoration to adaptation
The Divergence of Inequality in Healthcare Utilization Between Poor- and Rich-Medical Resource Regions: Evidence from the Middle-Aged and Older Adults in China
Evaluation of green space influence on housing prices using machine learning and urban visual intelligence
The Impact of Spatial Changes on the Assessment of CCTV Effects: An Example of the Green Light Project in Detroit
The assessment of closed-circuit television (CCTV) as an infrastructure designed to improve the policing environment has gained widespread attention. The effect of CCTV is influenced not only by the time of installation, however, but also by locations, making it challenging to assess accurately from a single dimension. Existing studies have analyzed the differences in assessment results due to the period of installation, but little has been said …
Study on the spatio-temporal evolution characteristics and driving mechanism of China’s carbon emissions
The present study aims to explore the spatial and temporal changes and drivers of carbon emission patterns in China, with the aim of encouraging county-level carbon reduction policies in pursuit of sustainable development. To this end, we have studied the spatial disparities, spatio-temporal patterns, and evolution characteristics of carbon emissions using county-level carbon emissions data from China between 2002 and 2017. Additionally, we have …
Optimizing the Spatial Location of Street Lights in Belle Isle, Michigan
Improved street lighting can provide better use of public space and helps to promote safety while driving or walking. In terms of balancing benefits and impacts, on the basis of cost saving, this research adopts two prominent mathematical models, the maximal coverage location problem and the location set covering problem, to optimize street light locations. By comparing with the currently installed lights following the rule of thumb, the mathemat…
Spatial and sentiment analysis of public opinion toward Covid-19 pandemic using twitter data: At the early stage of vaccination
Carjacking: A Comparison Between Campinas, Brazil and Detroit, Michigan
Carjacking calls for a specialized analysis because it occurs at lightning speed within very brief windows of opportunity. This article describes the geographic distribution of carjacking in Campinas, Brazil, and then compares this pattern with Detroit, Michigan. We learn that raw numbers of carjackings are widely dispersed in both cities. Although these cities differ greatly in daily transportation systems, in both cities the carjacking risk est…
Population flow based spatial-temporal eigenvector filtering modeling for exploring effects of health risk factors on Covid-19
Property crime specialization in Detroit, Michigan
Built environment and obesity by urbanicity in the U.S
Exploring the impact of 9398 demolitions on neighborhood-level crime in Detroit, Michigan
The impact of street lights on spatial-temporal patterns of crime in Detroit, Michigan
Evaluation of green space influence on housing prices using machine learning and urban visual intelligence
Property crime specialization in Detroit, Michigan
The Divergence of Inequality in Healthcare Utilization Between Poor- and Rich-Medical Resource Regions: Evidence from the Middle-Aged and Older Adults in China
Estimating O–D travel time matrix by Google Maps API: Implementation, advantages, and implications
Many spatial analysis tasks call for the use of travel time between multiple origins and destinations, that is, O–D travel time matrix. Commercial geographical information systems (GIS) software requires the input of a well-defined road network dataset and significant efforts in implementing the task. However, road network data are often outdated, miss critical road condition details, or are expensive to acquire; and skillful usage of related sof…
GIS-based analysis of obesity and the built environment in the US
This paper examines the statewide relationship between built environment and obesity at the county scale by using the Geographically Weighted Regression (GWR) method. The independent variables include three built environment factors – street connectivity, walk score, fast-food/full-service restaurants ratio – and two sociodemographic variables, race heterogeneity and poverty rate. The urban influence is considered as a covariate in the analysis. …
Built environment and obesity by urbanicity in the U.S
The impact of street lights on spatial-temporal patterns of crime in Detroit, Michigan
Development and Evaluation of the Disinhibited Social Engagement Scale (DSES): A Tool for Assessment and Guide for Counseling Practice
Exploring the impact of 9398 demolitions on neighborhood-level crime in Detroit, Michigan
Routine activity effects of the Covid-19 pandemic on burglary in Detroit, March, 2020
The spread of the coronavirus has led to containment policies in many places, with concomitant shifts in routine activities. Major declines in crime have been reported as a result. However, those declines depend on crime type and may differ by parts of a city and land uses. This paper examines burglary in Detroit, Michigan during the month of March, 2020, a period of considerable change in routine activities. We examine 879 block groups, separati…
Design Strategies for Multi-Unit Residential Buildings During the Post-pandemic Era in China
Objective: The sudden outbreak of COVID-19 has greatly endangered public health and life safety, leading to new changes in people's housing needs. The purpose of this study is to establish design strategies that are suitable for China's Multi-Unit Residential Buildings (MURBs) in the post-pandemic era, and to identify the users' preferences for these strategies. Methods: This study compiles a set of design requirements by means of a literature re…
Thermal and Humidity Effect of Urban Green Spaces with Different Shapes: A Case Study of Shanghai, China
Research shows that urban green spaces (UGSs) provide a number of positive effects, including enhancing human thermal comfort levels by decreasing air temperature (AT) and increasing relative humidity (RH). However, research on how the shape of an UGS influences these effects is yet to be explored. This paper explores the principles and features behind this. The AT and RH surrounding an UGS within a horizontal scale of 20 m was explored. Microcli…
Optimizing the Spatial Location of Street Lights in Belle Isle, Michigan
Improved street lighting can provide better use of public space and helps to promote safety while driving or walking. In terms of balancing benefits and impacts, on the basis of cost saving, this research adopts two prominent mathematical models, the maximal coverage location problem and the location set covering problem, to optimize street light locations. By comparing with the currently installed lights following the rule of thumb, the mathemat…
Spatial and sentiment analysis of public opinion toward Covid-19 pandemic using twitter data: At the early stage of vaccination
Carjacking: A Comparison Between Campinas, Brazil and Detroit, Michigan
Carjacking calls for a specialized analysis because it occurs at lightning speed within very brief windows of opportunity. This article describes the geographic distribution of carjacking in Campinas, Brazil, and then compares this pattern with Detroit, Michigan. We learn that raw numbers of carjackings are widely dispersed in both cities. Although these cities differ greatly in daily transportation systems, in both cities the carjacking risk est…
Population flow based spatial-temporal eigenvector filtering modeling for exploring effects of health risk factors on Covid-19
Property crime specialization in Detroit, Michigan
Study on the spatio-temporal evolution characteristics and driving mechanism of China’s carbon emissions
The present study aims to explore the spatial and temporal changes and drivers of carbon emission patterns in China, with the aim of encouraging county-level carbon reduction policies in pursuit of sustainable development. To this end, we have studied the spatial disparities, spatio-temporal patterns, and evolution characteristics of carbon emissions using county-level carbon emissions data from China between 2002 and 2017. Additionally, we have …
Prediction of Commercial Street Location Based on Point of Interest (POI) Big Data and Machine Learning
Identifying optimal locations for sustainable commercial street development is crucial for driving economic growth and enhancing social vitality in cities. This study proposes a data-driven approach to predict potential sites for commercial streets in Foshan City, China, utilizing Points of Interest (POI) big data and machine learning techniques. Decision tree algorithms are employed to quantitatively assess and predict optimal locations at a fin…
Emerging climate threats to the Mississippi River Delta: Moving from restoration to adaptation
The Divergence of Inequality in Healthcare Utilization Between Poor- and Rich-Medical Resource Regions: Evidence from the Middle-Aged and Older Adults in China
Evaluation of green space influence on housing prices using machine learning and urban visual intelligence
The Impact of Spatial Changes on the Assessment of CCTV Effects: An Example of the Green Light Project in Detroit
The assessment of closed-circuit television (CCTV) as an infrastructure designed to improve the policing environment has gained widespread attention. The effect of CCTV is influenced not only by the time of installation, however, but also by locations, making it challenging to assess accurately from a single dimension. Existing studies have analyzed the differences in assessment results due to the period of installation, but little has been said …
Unraveling the Nexus: How street network morphology influences crime in Detroit
Urban streets are primary settings for criminal activities. Although prior studies have examined various environmental factors influencing criminal behavior, insufficient attention has been paid to street configurational types within street network morphology. To address this gap, this study employs kernel density estimation and spatial autocorrelation to analyze the spatial distribution patterns of assault, robbery, larceny, and motor vehicle th…
Street View Image-Based Emotional Perception Modeling of Old Residential Communities: An Explainable Framework Integrating Random Forest and SHAP
Understanding how the built environment shapes residents’ emotional perceptions in old residential communities (ORCs) is essential for enhancing livability and supporting people-oriented urban regeneration. This study proposes an explainable analytical framework that integrates community attributes, streetscape indicators, and subjective evaluations. Using random forest (RF) regression combined with Shapley Additive Explanations (SHAP), we conduc…
Where drinks and danger meet: Analyzing the spatial link between Bars and crime in Detroit
AdvUNet3: Segmentation of city-scale heterogeneous building façade materials from street view images
Impact of Different Greenspace Metrics on Cardiovascular Disease Incidence in Urban Settings: A Comparative Analysis
Geography (18 works) · Computer Science (16 works) · Engineering (15 works) · Crime Patterns and Interventions (11 works) · Mathematics (10 works) · Medicine (10 works) · Sociology (8 works) · Transport engineering (8 works) · Criminology (7 works) · Economics (7 works)