PUBLICATION

Google Scholar

Peer-Reviewed Journal Publications

(Please click the bold title to access the publications; preprints can be found via ResearchGate)

35. Guo, Z., Wang, Y.*, Steiner (2024) When Climate Mitigation Meets the Needs of Adaptation: Closing the Resilience Gap for EV Charging Services in Hurricane-Prone Areas. Journal of Management in Engineering. (Accepted)

34. Hao, H & Wang, Y.* (2024) The Emerging ‘Evident’ Role of Climatic Risk on Migration: A Study of Four U.S. Metropolitans. Climatic Change. 177, 36. https://doi.org/10.1007/s10584-024-03687-5. (Q1 in Atmospheric Science/Global & Planetary Change; IF: 5.3)

33. Wang, R., Wang, Y. & Li, N.* (2024) Revealing Disaster Dynamics and Disparities in Urban Facility Accessibility Using an Improved Utilization-Based Metric. Cities. 144, 104636. DOI: 10.1016/j.cities.2023.104636 (Q1 in Urban Studies and Development; IF: 6.7)

32. Guo, Z., Wang, Y.* (2024) Benchmarking Plans for Community-based Small Businesses Resilience across U.S. Gulf Coast. Journal of Planning Education and Research. 0(0). https://doi.org/10.1177/0739456X231213360 (Q1 in Urban Studies and Planning; IF: 4.0)

31. Gao, Z., Wang, Y.* (2023) Anticipating older populations’ health risk exacerbated by compound disasters based on mortality caused by heart diseases and strokes. Nature Scientific Reports. 13, 16810. https://doi.org/10.1038/s41598-023-43717-3. (Q1 in Multidisciplinary; IF: 4.9).

30. Guo, Z. & Wang, Y.* (2023) Anticipatory Planning for Equitable and Productive Curbside Electric Vehicle Charging Stations. Sustainable Cities & Society. 99, 104962. DOI: https://doi.org/10.1016/j.scs.2023.104962 (Q1 in Planning and Civil Engineering; IF: 11.7; Acceptance Rate: 10%)

29. Hao, H. & Wang, Y.* (2023). Modeling Dynamics of Community Resilience to Extreme Events with Explainable Deep Learning. Natural Hazards Review, 24(2), 04023013. DOI: https://doi.org/10.1061/NHREFO.NHENG-1696 (PrePrint)(Q1 in Social/Environmental Science; IF: 3.723)

28. Hao, H., Wang, Y.*, Du, L., & Chen, S. (2023) Enabling Smart Curb Management with Spatiotemporal Deep Learning. Computers, Environment and Urban System. 99, 101914. DOI: https://doi.org/10.1016/j.compenvurbsys.2022.101914. (Q1 in Urban Studies & Geography; IF: 6.454)

27. Hao, H., Wang, Y.*, (2023) Smart Curb Digital Twin: Inventorying Curb Environments Using Computer Vision and Street Imagery, IEEE Journal of Radio Frequency Identification, vol. 7, pp. 168-172, doi: 10.1109/JRFID.2022.3225733. (publication for an invited presentation)

26. Gao, S., Wang, Y.*, & Webster, G. (2022) Causal Modeling of Descriptive Social Norms from Twitter and the Physical World on Expressed Attitudes Change: A Case Study of COVID-19 Vaccination, Cyberpsychology, Behavior, and Social Networking. DOI: https://doi.org/10.1089/cyber.2022.0153. (Q1 in Social Psychology, Communication and Human-Computer Interaction; IF: 6.135).

25. Gao, S. & Gao, W. (2021) Investigating Dynamic Relations Between Factual Information and Misinformation: Empirical Studies of Tweets Related to Prevention Measures during COVID-19. Journal of Contingencies and Crisis Management. DOI: 10.1111/1468-5973.12385. (Q1 in Management Information System; IF 4.4)

24. Hao, H., Wang, Y.*, & Kang, S. (2022) Examining “Digital” Vulnerability to Flooding among Subsidized Housing Residents in Florida. International Journal of Disaster Risk Reduction. doi: https://doi.org/10.1016/j.ijdrr.2022.103302 (link) (Q1 in Safety Research; IF 4.320)

23. Gao, S. & Wang, Y.* (2022) Explainable Deep Learning Powered Building Risk Assessment Model for Proactive Hurricane Response. Risk Analysis. pp.1-13, doi: 10.1111/risa.13990. (Q1 in Safety/Risk Research; IF: 4.302) (link)(preprint)

22. Wang, Y.*, Hao, H. & Wang, C. Preparing Curbside for Increasing Mobility-on-Demand using Data-Driven Agent-Based Simulation: Case Study of Downtown City of Gainesville, Florida. ASCE Journal of Management in Engineering. DOI: 10.1061/(ASCE)ME.1943-5479.0001021. (link)(preprint)(Q1 in Engineering; IF 6.7)

21. Hao, H. & Wang, Y.* Disentangling Relations Between Urban Form and Urban Accessibility for Resilience to Extreme Weather and Climate Events. Landscape and Urban Planning. 220 (2022). 104352. DOI: 10.1016/j.landurbplan.2022.104352. (link) (Q1 in Environmental Science; IF 6.142; Ranking 2 out of 43 in Urban Studies)

20. Guo, Y., Song, Y.*, Cao, L., Wang, Y. & Li, Y. (2022) Understanding the Formation of City-HSR Network: A Case Study of Yangtze River Delta. Transport Policy. 116, 315-326. DOI: 10.1016/j.tranpol.2021.12.014. (Q1 in Geography, Planning and Development; IF 4.674)

19. Ma, R., Wang, T., Wang, Y., & Chen, J.* (2021). Tuning urban microclimate: A morpho-patch approach for multi-scale building group energy simulation. Sustainable Cities and Society, 103516. (link) (Q1 in Geography, Planning and Development; IF: 7.587; ranking it 4 out of 66 in Construction & Building Technology; Acceptance Rate 15%)

18. Wang, Y.*, Gao, S., Li, N, & Yu, S. (2021) Crowdsourcing the perceived urban built environment via social media: The case of underutilized land. Advanced Engineering Informatics. 50. 101371. DOI: https://doi.org/10.1016/j.aei.2021.101371. (link) (Q1 in Artificial Intelligence and Information Systems; IF 5.603, ranking it 10 out of 91 in Engineering, Multidisciplinary)

17. Hao, Haiyan & Wang, Yan* (2021) Assessing Disaster Impact in Real Time (ADIR): A Data-Driven System Integrating Human, Hazards, and the Built Environment. ASCE Journal of Computing in Civil Engineering. doi: 10.1061/(ASCE)CP.1943-5487.0000970. (link) (Q1 in Civil and Structural Engineering; IF 5.107).

16. Wang, R., Li, N. & Wang, Y. (2021) Does the Returners and Explorers Dichotomy in Urban Human Mobility Depend on the Observation Duration? An Empirical Study in Guangzhou, China. Sustainable Cities and Society. 102862.doi: https://doi.org/10.1016/j.scs.2021.102862. (link) (Q1 in Geography, Planning & Development)

15. Gao, Shangde & Wang, Yan* (2021) Assessing the impact of geo-targeted warning messages on residents’ evacuation decisions before a hurricane using agent-based modeling. Natural Hazards. DOI: 10.1007/s11069-021-04576-1. (link)

14. Wang, Y*, Hao, H. & Platt, L. (2021) Examining Risk and Crisis Communications of Government Agencies and Stakeholders during Early-Stages of COVID-19 on Twitter. Computers in Human Behavior. DOI: https://doi.org/10.1016/j.chb.2020.106568 (RG preprint)(link) (Q1 in Human-Computer Interaction; IF 6.829, ranking it 3 out of 90 in Psychology, Experimental)

13. Yao, F. & Wang, Y.* (2020) Towards Resilient and Smart Cities: A Real-Time Urban Analytical and Geo-Visual System for Social Media Streaming Data. Sustainable Cities and Society. 102448. doi: https://doi.org/10.1016/j.scs.2020.102448 (RG preprint)(link) (Q1 in Geography, Planning & Development)

12. Hao, H. & Wang, Y.* (2020) Leveraging Multimodal Social Media Data for Rapid Disaster Damage Assessment. International Journal of Disaster Risk Reduction. 51, 101760. doi: https://doi.org/10.1016/j.ijdrr.2020.101760 (RG preprint)(link)

11. Yao, F. & Wang, Y.* (2020) Domain-Specific Sentiment Analysis for Tweets during Hurricanes (DSSA-H): A Domain-Adversarial Neural-Network-Based Approach. Computer, Environment and Urban System. 83, 101522. doi: https://doi.org/10.1016/j.compenvurbsys.2020.101522. (RG preprint)(link)

10. Wang, Y.*, Taylor, J.E. & Garvin, M.J. (2019) Measuring Resilience of Human-Spatial Systems to Disasters: Framework Combining Crowdsourced Spatial-Network Analysis and Fisher Information. ASCE Journal of Management in Engineering. 36(4), 04020019.

9. Wang, Y.*, Hulse, D., Von Meding, J., Brown, M. & Dedenbach, L., (2020)Conceiving Resilience: Lexical Shifts and Proximal Meanings in the Human-Centered Natural and Built Environment Literature from 1990 To 2018. Developments in the Built Environment. 100003. DOI: https://doi.org/10.1016/j.dibe.2019.100003

8. Brown, M., Murtha, T., Wang, L., & Wang, Y. (2020) Mapping Landscape Values with Social Media. Journal of Digital Landscape Architecture. pp. 542-548. DOI: 10.14627/537690055

7. Yao, F., & Wang Y.* (2019) Tracking Urban Geo-Topics based on Dynamic Topic Model. Computer, Environment and Urban System. https://doi.org/10.1016/j.compenvurbsys.2019.101419. 

6. Murtha, T., Brown, M., Wang, Y., & Wang, L. (2019) ILAS: Intrinsic Landscape Assessment System for Landscape Design and Planning. Journal of Digital Landscape Architecture, 84-94, doi: 10.14627/537663009. 

5. Wang, C., Delport, J., & Wang, Y. (2019). Lateral motion prediction of on-road preceding vehicles: a data-driven approach. Sensors, 19(9), 2111. https://doi.org/10.3390/s19092111 

4. Wang, Y. & Taylor, J.E. (2018) Detecting Urban Emergencies Technique (DUET): A Data-Driven Approach based on Latent Dirichlet Allocation (LDA) Topic Modeling. Journal of Computing in Civil Engineering. 33(3) 04019023.

3. Wang, Y. & Taylor, J.E. (2018). Coupling Sentiment and Human Mobility in Natural Disasters: A Twitter-based Study of the 2014 South Napa EarthquakeNatural Hazards, 1-19.

2. Wang, Y., Wang, Q. & Taylor, J.E. (2017) Aggregated Responses of Human Mobility Patterns to Severe Winter Storms: An Empirical Study. PLoS ONE. 12.12 (2017): e0188734.

1. Liu, T., Wang, Y., & Wilkinson, S. (2016). Identifying Critical Factors Affecting the Effectiveness and Efficiency of Tendering Processes in Public-Private Partnerships (PPPs): A Comparative Analysis of Australia and ChinaInternational Journal of Project Management,34(4), 701-716.

Pre-Prints

[1] Guo, Z. & Wang, Y.* Benchmarking Plans for Community-based Small Businesses Resilience across U.S. Gulf Coast. DOI: 10.31235/osf.io/675ty.

[2] Gao, S., Wang, Y.*, & Thai, M. T. (2023) Investigating the Dynamics of Social Norm Emergence within Online Communities. arXiv preprint arXiv:2301.00453.

[3] Gao, S., Wang, Y.*, Gao, W. (2021) Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19. arXiv preprint arXiv: 2102.00976.

Peer-Reviewed Conference Papers

13. Hao, H., & Wang, Y.* (2022) Smart Curb Digital Twin: Inventorying Curb Environments using Computer Vision and Street Imagery. 2nd Annual International Conference on Digital Twins and Parallel Intelligence (IEEE DTPI 2022). Smart City Digital Twins Convergence (by invitation only) Boston, U.S.

12. Hao, H., Wang, Y.*, & Wang, Q. (2022) Simulating Urban Population Activities under Extreme Events with Data-Driven Agent-Based Modeling. 2022 ASCE’s Construction Institute and Construction Research Council. The joint conference will be held in Arlington, VA; March 9-12, 2022. (link)

11. Gao, S., Wang, Y.*, & Wang, Q. (2022) Household-Targeted Hurricane Warnings for Effective Evacuation: Case Study of Hurricane Irma in North Miami Beach. 2022 ASCE’s Construction Institute and Construction Research Council. The joint conference will be held in Arlington, VA; March 9-12, 2022. (link)

10. Gao, S., Wang, Y.* & Platt, L. (2021) Modeling U.S. Health Agencies’ Message Dissemination on Twitter and Users’ Exposure to Vaccine-related Misinformation Using System Dynamics. The 18th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2021). (pp. 333–344). Blacksburg, VA (USA): Virginia Tech.(preprint) (ISCRAM Digital Library)

9. Wang, Y.*, Wang, Q. & Taylor, J.E. (2021) Loss of Resilience in Human Mobility across Severe Tropical Cyclones of Different Magnitudes. The 18th International Conference on Information Systems for Crisis Response and Management (ISCRAM2021). (pp. 755–765). Blacksburg, VA (USA): Virginia Tech. (preprint) (ISCRAM Digital Library)

8. Haiyan Hao, & Yan Wang*. (2020). Hurricane Damage Assessment with Multi-, Crowd-Sourced Image Data: A Case Study of Hurricane Irma in the City of Miami. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 825–837). Blacksburg, VA (USA): Virginia Tech. (link) (preprint)

7. Brown, M., Murtha, T.*, Wang, L. & Wang, Y. (2020) Mapping Landscape Values With Social Media. Digital Landscape Conference (DLA 2020).

6. Wang, Y. (2019) Towards Responsive & Resilient Cities: BETerms for Crowdsourcing Perceived Built Environment. In the 2019 Book of Accepted Abstracts for Association of Collegiate Schools of Planning (ACSP) Annual Conference. October 24-27, 2019 in Greenville, South Carolina. Available at: www.acsp.org.

5. Wang, Y., Rahimi-Golkhandan, A. Garvin, M.J. & Taylor, J.E., (2019). Impact of Transportation Diversity on Urban Resilience to Disasters2019 ASCE International Conference on Computing in Civil Engineering (i3CE).

4. Wang, Y. and Taylor, J.E., (2018). Urban Crisis Detection Technique: A Spatial and Data-Driven Approach based on Latent Dirichlet Allocation (LDA) Topic ModelingConstruction Research Congress 2018 (CRC 2018): Building Community Partnerships. (pp. 250-259). New Orleans, USA.

3. Wang, Y. & Taylor, J.E., (2017). Tracking urban resilience to disasters: a mobility network-based approach. In Proceedings of the 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017) (pp. 97–109). Albi, France.

2. Wang, Y., Wang, Q. & Taylor, J.E. (2016) Aggregated Responses of Human Mobility Patterns to Severe Winter Storms, 6th International Conference of Building Resilience (ICBR 2016). Auckland, New Zealand.

1. Mohammadi, N., Taylor, J.E., & Wang, Y. (2017). Towards Smarter Cities: Linking Human Mobility and Energy Use Fluctuations across Building Types. In Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS 2017).

Conference/Workshop Posters

Wang, Y. (Poster Presentation, April 2019 in Washington DC, USA) Tracking Urban Geo-Topics based on Dynamic Topic Model. American Association of Geographers (AAG).