Ph.D Candidate in Urban and Regional Science

Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA

Advisors: Dr. Xinyue Ye & Dr. Bahar Dadashova

Master Degree in Urban-Rural Development and Planning

Department of Urban Planning and Management, Renmin University of China, Beijing, China

Bachelor Degree in Urban Planning and Management

Department of Urban Planning and Management, Renmin University of China,Beijing China

Graduate Research Assistant

Texas A&M Transportation Institute, Bryan, TX, USA

Stuff

Academic Affair Office, Renmin University of China, Beijing, China

Urban digital twin; Computer vision; Interpretable machine learning; Causal machine learning; Spatial statistics and visualization

Transportation safety project/policy evaluation; Roadway crash modeling; AI-based roadway infrastructure audit; Equity and environmental justice in roadway safety; Health Impact Assessment

Urban built environment and crime; Machine learning and text analysis in crime research

Zhu, C., Dadashova, B., Lee, C., Ye, X., & Brown, C. T. (2024). “Equity in non-motorist safety: Exploring two pathways in Houston”. Transportation Research Part D: Transport and Environment, 132, 104239. doi:10.1016/j.trd.2024.104239

Zhu, C., Ye, X., Du, J., Hu, Z., Shen, Y., & Retchless, D. (2024). “Simulating urban energy use under climate change scenarios and retrofit plans in coastal Texas”. Urban Informatics, 3(1), 13. doi:10.1007/s44212-024-00046-8

Du, J., Ye, X., Huang, X., Qiang, Y., & Zhu, C. (2024). “Unveiling multifaceted resilience: A heterogeneous graph neural network approach for analyzing locale recovery patterns”. Environment and Planning B: Urban Analytics and City Science, 23998083241288689. doi:10.1177/23998083241288689

Liu, X., Zhu, C., Kong, M., Yin, L., & Zheng, W. (2024). “The Value of Political Connections of Developers in Residential Land Leasing: Case of Chengdu, China”.Sage Open, 14(2). doi:10.1177/21582440241245226

Han, Y., Ye, X., & Zhu, C. “The Unequal Impact of Disasters: Assessing the Interplay Between Social Vulnerability, Public Assistance, Flood Insurance, and Migration in the U.S”.Urban Informatics, 3(1), 30. doi:doi:10.1007/s44212-024-00061-9

Zhang, Y. & Zhu, C. (2024). “Nonlinear and spatially heterogeneous relationship between environmental factors and violent crime: Based on interpretable machine learning method”.Acta Geographica Sinica (In Chinese), 79(8), 2141-2156. doi:10.11821/dlxb202408014

Zhang, Y., You, Y. & Zhu, C. (2024). “The impact of physical disorder on theft crime and its moderating role on the criminogenic effect of 3D built environment features: Application of deep learning approach on street view images in Shanghai”. Acta Geographica Sinica (In Chinese), 43(06), 1539-155. doi:10.11821/dlyj020240021

Wang, C., Antos, S. E., Gosling-Goldsmith, J. G., Triveno, L. M., Zhu, C., von Meding, J., & Ye, X. (2024). “Assessing Climate Disaster Vulnerability in Peru and Colombia Using Street View Imagery: A Pilot Study” Buildings, 14(1), 14. doi:10.3390/buildings14010014

Zhang, Y., Cai, L., Song, G., & Zhu, C. (2023). “The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms: Comparison and Interpretation”. Crime and Delinquency, 00111287231180102. doi:10.1177/00111287231180102

Zhu, C., Brown, C. T., Dadashova, B., Ye, X., Sohrabi, S., & Potts, I. (2023). “Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm”. Accident Analysis and Prevention, 182: 106964. doi:10.1016/j.aap.2023.106964

Zhang, Y., Cai, L., Song, G., Liu, L., & Zhu, C. (2022). “From Residential Neighborhood to Activity Space: The Effects of Educational Segregation on Crime and Their Moderation by Social Context”. Annals of the American Association of Geographers, 112(8), 2393-2412. doi:10.1080/24694452.2022.2060793

Wang, X., Liu, Y., Zhu, C., Yao, Y.,& Helbich, M. (2022). “Associations between the streetscape built environment and walking to school among primary schoolchildren in Beijing, China”.Journal of Transport Geography, 99, 103303. doi:10.1016/j.jtrangeo.2022.103303

Zhang, Y., Lin, Q., Zhu C., Mao, M. & Jiang, D. (2022). “The influence of permeable built environment on theft crime pattern and the moderation effects of social disorganization: Applicability of street eyes and defensible place theories”. Progress in Geography (In Chinese), 41(06), 1041-1052. doi:10.18306/dlkxjz.2022.06.008

Zhang, Y., You Y., Zhu C., & Guo H. (2022). “Spatial matching relationship between criminal activities and fear of crime and its influential factors: A case of Beijing”. Scientia Geographica Sinica (Chinese), 42(6), 1024-1033. doi:10.13249/j.cnki.sgs.2022.06.008

Zhang Y., & Zhu C. (2021). “Exploring distribution relationship between criminal activities and urban functions using distance-based methods”. Geographical Research (In Chinese), 40(02), 528-540. doi:10.11821/dlyj020190919

Zhang Y., Qin B., & Zhu C. (2019). “The impact of urban built environment on criminal behavior and residential security in Beijing”. Acta Geographica Sinica (In Chinese), 74(2), 238-252. doi:10.11821/dlxb201902003

Wu, L., He, Q., Zhu, C., Huang, X., & Ye, X. (2024). “Direction-specific human mobility improves crime modeling”. New Research in Crime Modeling and Mapping Using Geospatial Technologies. (Accepted)

Dadashova, B., Boutros, A., Reyes, D., Schoner, J., Sanders, R., Chiovenda, M., Lee, C., Zhu, C., Wang, O., Elgart, Z., Eisert, J., Panik, R. “Exploring Risk Factors to Inequities in Pedestrian and Bicyclist Fatalities and Serious Injuries ” (In Preparation).

adashova, B., Zhu C., Ye X., Sohrabi S. & Potts, I. “Building Equitable Safe Streets for All: Data-Driven Approach and Computational Tools”. Safe-D University Transportation Center.https://hdl.handle.net/10919/117745

Teaching Assistant, Sustainable Communities (URPN 460), Undergraduate Core curriculum

Guest Lecturer, Research Foundation (CARC 601), "Conducting Systematic Literature Review in Urban Studies", Urban and Regional Science Doctoral Program

Guest Lecturer, Research Foundation (CARC 601), "Intro of Research in Urban and Regional Science", Urban and Regional Science Doctoral Program

“Assessing the health impact and disparities of shifting from driving to active transportation: A case study of Houston, Texas ”. Presentation. 2024 Symposium on Spatiotemporal Data Science: GeoAI for Social Sciences. Arlington, VA, USA. July 24th.

“Assessing the Benefit and Its Disparity of Shifting Driving to Active Transportation: A Health Impact Assessment in Houston”. Presentation. 18th International Association for China Planning (IACP) Annual Conference. Hangzhou, China. July 7th.

“Disparities in Roadway Safety: Exploring Direct and Indirect Pathways Contributing to Disparities in Non-Motorist Crashes in Houston, Texas”. Poster. 103nd Transportation Research Board (TRB) Annual Meeting. Washington, DC, USA. Jan 8th.

“Greener the safer? Effects of Urban Green on Community Safety and Perception of Safety using Satellite and Street View Imagery Data”. Poster. 2023 Association of Collegiate Schools of Planning (ACSP) 63rd Annual Conference. Chicago, IL, USA, Oct 19th.

“Environmental Justice in Roadway Safety: A Structural Equation Model of Neighborhood Disadvantage, Active Transportation Infrastructure, and Non-motorist Crashes in Houston”. Poster. 2023 Association of Collegiate Schools of Planning (ACSP) 63rd Annual Conference. Chicago, IL, USA, Oct 19th.

“Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm”. Poster. 102nd Transportation Research Board (TRB) Annual Meeting. Washington, DC, USA. Jan 10th.

“Simulating Urban Energy Use Under Climate Change Scenarios and Retrofit Plans in a Coastal Texas Community”. Presentation. Texas A&M University Conference on Energy 2022. College Station, TX, USA. Sep 28th.

“Simulating Urban Energy Use Under Climate Change Scenarios and Retrofit Plans in a Coastal Texas Community”. Presentation. International Student Paper Competition in the 29th International Conference on Geoinformatics 2022. Beijing, China. Aug 16th.

“Inequality among community resilience when facing disasters: a perspective from human mobility”. Presentation. University Consortium For Geographic Information Science (UCGIS) Symposium 2022. Syracuse, NY, USA. Jun 8th.

“Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm”. Poster. 1st International Association for China Planning (IACP) Planning Research and Career Development Symposium. Gainesville, FL, USA. Dec 21st.

Texas A&M Data Science Institute Wildfire Data Science Challenge Awards ($1000, Team award)

Texas A&M Transportation Institute Outstanding Doctoral Program Student Award ($1000)

Runner-up Award in the International Student Paper Competition of 29th International Conference on Geoinformatics

Student Lightning Talk Award at Annual Meeting of University Consortium for Geographic Information Science

Graduate Tuition Scholarship, LAUP, Texas A&M University ($1250 per semester for four years)

Jingdong Scholarship, Renmin University of China (¥5000 ( $700))

CyberTraining for Disaster Management (CTDM CyberTraining) Partnership ($2000)

Texas A&M Data Science Institute - Senior Data Science Ambassadors ($2000)

Texas A&M Data Science Institute - Data Science Ambassadors ($2000)

Texas A&M Energy Institute Fellowship ($5000)

LAUP department travel grant, Texas A&M University ($600)

Texas A&M Data Science Institute - Senior Data Science Ambassadors - Chunwu Zhu (Link)

Texas A&M Data Science Institute - Data Science Ambassadors - Chunwu Zhu (Link)

Texas A&M Data Science Institute - TAMIDS Wildfire Data Science Challenge Awards - UrbanDS Team (Link)

Texas A&M Energy Institute - 2022-23 Student Fellow - Chunwu Zhu (Link)