Healthy Urban & Buildings (HUB) Lab
RESEARCH INTERESTS
Urban Sensing and Analytics
Drawing on diverse geo-referenced sensing data (e.g., street view images, satellite images), we aim to employ advanced urban sensing and analytics techniques (e.g., computer vision and GeoAI) to precisely assess urban built environment.
Nexus between Environment, Behavior, and Health
We excel in conducting cross-sectional studies to explore the correlation relationships between environment, behavior, and health. Additionally, we are proficient in conducting longitudinal studies to infer causal relationships.
Geospatial Big Data Mining and Spatial modelling
Leveraging multi-source geospatial big data, we aim to employ diverse GIS techniques to uncover intriguing space-time patterns and phenomenon within cities, which contributes to pursuit of sustainable urban development.
ABOUT
Urban design and architecture reflect and guide existing human experience; they also stimulate and generate new human experience. The evolution of technologies, lifestyles, culture, and pandemics continuously redefines the way in which built environment supports healthy behaviors and outcomes.
The Healthy Urban and Building Lab (HUB) develops tools, models and theories for better understanding, quantifying and evaluating the performance of built environment relative to its human behavior and health. HUB creates credible evidence linking design decisions to health outcomes and makes these findings usable for designers and decision-makers.
In lecture, funded research, consultation, training, HUB works with other universities, design firms, and policy makers to provide significant and measurable economic, social and health improvement to the built environment in many cities in China and overseas, with important follow-on impacts on the quality of citizens’ lives. HUB also contributes to the development of street design and greenspace design guidelines for several major cities in China, such as Wuhan, Nanjing, and Shanghai.
Latest Publications
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Liu, D., Lu, Y.*, & Yang, L. (2024). Exploring non-linear effects of environmental factors on the volume of pedestrians of different ages using street view images and computer vision technology. Travel Behaviour and Society, 36, 100814. (see more details)
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Li, Z., Lu, Y.*, Zhuang, Y., & Yang, L. (2024). Influencing factors of spatial vitality in underground space around railway stations: A case study in Shanghai. Tunnelling and Underground Space Technology, 147, 105730. (see more details)
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Zhou, Y., Lu, Y.*, Wei, D., & He, S. (2024). Impacts of social deprivation on mortality and protective effects of greenness exposure in Hong Kong, 1999–2018: A spatiotemporal perspective. Health & Place, 87, 103241. (see more details)
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Jiang, Y., Liu, D., Ren, L., Grekousis, G., & Lu, Y.* (2024). Tree abundance, species richness, or species mix? Exploring the relationship between features of urban street trees and pedestrian volume in Jinan, China. Urban Forestry & Urban Greening, 95, 128294. (see more details)
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Wang, R., Zhang, L., Zhou, S., Yang, L., & Lu, Y.* (2024). The availability and visibility of animals moderate the association between green space and recreational walking: Using street view data. Journal of Transport & Health, 34, 101744. (see more details)
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Wei, D., Liu, M., Grekousis, G., Wang, Y., & Lu, Y.* (2023). User-generated content affects urban park use: Analysis of direct and moderating effects. Urban Forestry & Urban Greening, 128158. (see more details)
News & Events
HUB Lab director Dr. Yi Lu and PhD students Dongwei Liu, Zhenhua Li, Yuxuan Zhou attended AAG 2024 annual meeting
HUB Lab director Dr. Yi Lu presented his research at AAG 2024
PhD student Yuxiao Jiang 's research paper was awarded the Gold Prize at the Jin Jingchang China Urban and Rural Planning Graduate Paper Competition in May 2023.
HUB Lab director Dr. Yi Lu and PhD students Dongwei Liu, Zhenhua Li, Yuxuan Zhou attended AAG 2024 annual meeting
Collaboration
HUB Lab has established collaborations with prestigious universities, including the University of Hong Kong, Southeast University, Wuhan University, Huazhong University of Science and Technology, Tianjin University, Sun Yat-sen University, Tongji University, and East China Normal University, etc. We warmly welcome interdisciplinary collaborations with teams worldwide.