Meet the team
Jing Yao
Professor Jing Yao (姚 静) joined UBDC as a lecturer in Urban Big Data and Quantitative Methods in October 2014. She has a PhD in Geography and an MSc in Industrial Engineering both from Arizona State University (ASU), USA. She also has an MSc degree and a BSc degree in Geographical Information System (GIS) from Nanjing University, China. Previously she worked as a postdoctoral associate at GeoDa Center for Geospatial Analysis and Computation at ASU in the US and a research fellow at Centre for Geoinformatics at the University of St Andrews in the UK.
Research interests
Jing’s research interests cover a wide range of areas in geographic information science, including spatial analysis, spatial statistics, spatial modeling, and spatial optimization, etc. Currently, she focuses on developing quantitative methods for spatially integrated analysis and modeling and particularly their applications in social science and health research. Also, she is interested in spatial optimization and decision making, including facility location modeling, regionalization and land-use optimization.
- Geographical Information Science
- Spatial Statistics
- Spatial Optimization
- Location Modeling
- Health Geography
- Regional Science
- Urban and Regional Planning and development
Positions
Professor in Urban Studies, School of Social & Political Sciences
Publication links
Publications
Location optimization of emergency medical services: Considering joint service coverage of ambulances and emergency centers.
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Integrating spatiotemporal co-evolution patterns of land types with cellular automata to enhance the reliability of land use projections.
27th AGILE Conference on Geographic Information Science “Geographic Information Science for a Sustainable Future”
Developing an annual global Sub-National scale economic data from 1992 to 2021 using nighttime lights and deep learning.
Did COVID-19 discriminate in the global South? Revealing heterogeneity of urban households’ livelihood resilience based on evidence from Bangladesh, China, India and Philippines.
Residential open space and the perception of health benefits: how much is the public willing to pay?
Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping.
Driving forces of population change following the Canterbury Earthquake Sequence, New Zealand: a multiscale geographically weighted regression approach.
Applications of stacking/blending ensemble learning approaches for evaluating flash flood susceptibility.
Predicting the effect of street environment on residents' mood states in large urban areas using machine learning and street view images.
Geographic concentration of industries in Jiangsu, China: a spatial point pattern analysis using micro-geographic data.
Factors affecting perceived health benefits and use behaviors in urban green spaces during the COVID-19 pandemic in southern China megacities.
Changes of forestland in China's coastal areas (1996-2015): regional variations and driving forces.
Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals.
A spatial optimization approach for solving a multi-facility location problem with continuously distributed demand.
A new measure of wind power variability with implications for the optimal sizing of standalone wind power systems.
Urban fire dynamics and its association with urban growth: evidence from Nanjing.
Mapping the annual dynamics of cultivated land in typical area of the Middle-lower Yangtze plain using long time-series of Landsat images based on Google Earth Engine.
Evaluation and development of sustainable urban land use plans through spatial optimization.
Bypassing health facilities in rural Mozambique: spatial, institutional, and individual determinants.
Spatial optimization for land use allocation: accounting for sustainability concerns.
Place, time and experience: barriers to universalization of institutional child delivery in rural Mozambique.
Spatial-Temporal Dynamics of Urban Fire Incidents: a Case Study of Nanjing, China.
Bridging user and provider perspectives: Family planning access and utilization in rural Mozambique.
Spatial and social inequities in {HIV} testing utilization in the context of rapid scale-up of HIV/AIDS services in rural Mozambique.
Locational effectiveness of clinics providing sexual and reproductive health services to women in rural Mozambique.
A geographical perspective on access to sexual and reproductive health care for women in rural Africa.
Continuous surface representation and approximation: spatial analytical implications.
Does Gis-derived Transport Time Prediction Reflect Actual Transport Times In Out-of-hospital Cardiac Arrest Patients?
Surrogate markers of transport distance for out-of-hospital cardiac arrest patients.
Geographic influences on sexual and reproductive health service utilization in rural Mozambique.
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