Center for Geographic Information Science Research (CGISR)

Faculty Research

  • Agriculture

Funded Grants

2023. Agricultural Research Institute CPP Campus Grant 2022/2023. “Multisensors and multiplatform assessment of specialty crops health and yield during drought and drought-mitigation management”. Principal Investigator. $170,464. Starting December 2023. 

2022. National Science Foundation (NSF IUSE) Improving Undergraduate STEM Education: Education and Human Resources – Track Engaged Student Learning, Level 2, “Collaborative Research: An Interdisciplinary Approach to AI Education for Social Good”, PI: Yu Chen (SJSU), Co-PIs: Gabriel Granco (CPP), Frank Gomez (Chancellor’s Office CSU), Heater Macias (CSU-LB), Yunfei Hou (CSU-SB). $599,170.00 ($76,200 to CPP). 

2022. Special Projects for Improving the Classroom Experience (SPICE) Cal Poly Pomona. “Societal Responses to Climate Change.” Principal Investigator. $12,600. 

2021. US Department of Agriculture – National Institute of Food and Agriculture/Agriculture and Food Research Initiative (USDA-NIFA/AFRI) Small and Medium-sized Farms Program, “Improving Sustainability of Specialty Crop Agricultural Systems through Geospatial Digital Agriculture in California”, PI: Gabriel Granco, Co-PIs: Subodh Bhandari, John Korah, and Mohammad Chaichi. $299,911.00.  

2021. Special Projects for Improving the Classroom Experience (SPICE) Cal Poly Pomona. “BIG-GIS: Developing Novel Curriculum by Integrating Big Data Analytics and Geographical Information Systems.” Co-Principal Investigator. $8,400. 

2021. Research, Scholarship and Creative Activity Cal Poly Pomona. “Spatial Analysis of Surface Water Resources and Specialty Crops in California.” Principal Investigator. $5,000. 

2020. Agricultural Research Institute CPP Seed Grant 2020/2021. “Mapping suitability of fruit and nut crops in California: using spatial models to project suitability under future climate and water conditions”. Principal Investigator. $8,863. 

2020. CPP Strategic Interdisciplinary Research Grant 2020/2021. “Cross-Scale Estimation of Agricultural Suitability of Specialty Crops in California using UAV and Satellite Remote Sensing Observations”. Principal Investigator. $15,000. 

 

JOURNAL PUBLICATION (*Indicates student author)

In Press. Mather, M., G. Granco, J. S. Bergtold, M. M. Caldas, J. L. Heier Stamm, A. Y. Sheshukov, M. R. Sanderson, M. D. Daniels. “Achieving Success with RISE: A Widely-Implementable, Iterative, Structured Process for Mastering Interdisciplinary Team Science Collaborations.” Bioscience. 

2023. G. Granco, H. He*, B. Lentz*, J. Voong*, A. Reeve*, E. Vega*. “Mid- and End-of-the-Century Estimation of Agricultural Suitability of California’s Specialty Crops.” Land, Volume 10, no. 12: 1907. https://doi.org/10.3390/land12101907  

2023. Sun, Q., G. Granco, L. Groves, J. Voong*, S. Van Zyl. “Viticultural Manipulation and New Technologies to Address Environmental Challenges Caused by Climate Change.” Climate, Volume 11, no. 4: 83. https://doi.org/10.3390/cli11040083  

2022. Bergtold, J.S., M. M. Caldas, S. M. Ramsey, M. R. Sanderson, G. Granco, M. E. Mather. “The Gap Between Experts, Farmers and Non-Farmers on Perceived Environmental Vulnerability and the Influence of Values and Beliefs.” Journal of Environmental Management, Volume 316. doi: 10.1016/j.jenvman.2022.115186. 

2022. Granco, G., M. M. Caldas, J. S. Bergtold, J. L. Heier Stamm, M. E. Mather, M. R. Sanderson, M. D. Daniels, A. Y. Sheshukov, S. M. Ramsey, D. A. Haukos. “Local Environment and Individuals’ Beliefs: The Dynamics Shaping Public Support for Sustainability Policy in an Agricultural Landscape.” Journal of Environmental Management, Volume 301. doi: 10.1016/j.jenvman.2021.113776 

2021. Sant’Anna, A.C., J.S. Bergtold, A. Shanoyan, M.M. Caldas, and G. Granco. “Biofuel feedstock contract attributes, substitutability and tradeoffs in sugarcane production for ethanol in the Brazilian Cerrado: A stated choice approach.” Renewable Energy. Volume 185, 665- 679. doi: 10.1016/j.renene.2021.12.021 

2021. Mighty, M., Granco, G. “Modeling Profitability in the Jamaican Coffee Industry.” Agriculture. Volume 11, 121. doi:103390/agriculture11020121 

2019. Granco, G., J. L. Heier Stamm, J. S. Bergtold, M. D. Daniels, M. R. Sanderson, A. Y. Sheshukov, M. E. Mather, M. M. Caldas, S. M. Ramsey, R. J. Lehrter II, D. A. Haukos, J. Gao, S. Chatterjee, J. C. Nifong and J. A. Aistrup. "Evaluating environmental change and behavioral decision-making for sustainability policy using an agent-based model: A case study for the Smoky Hill River Watershed, Kansas." Science of The Total Environment. Volume 695. doi:10.1016/j.scitotenv.2019.133769 

2019. Granco, G., Caldas, M. M., De Marco Jr, P. “Effects of climate change on Brazil’s land use policy for renewable energy from sugarcane.” Resources, Conservation, and Recycling. Volume 144, 158–168. doi:10.1016/j.resconrec.2019.01.033 

2018. Granco, G., Sant’Anna, A. C., Bergtold, J. S., Caldas, M. M. “Location factors influencing ethanol mills in a new sugarcane producing region in Brazil.” Biomass & Bioenergy. Volume 111, 125-133. doi: 10.1016/j.biombioe.2018.02.001 

2018. Sant’Anna, A.C., J.S. Bergtold, A. Shanoyan, G. Granco and M.M. Caldas. “Examining the Relationship between Vertical Coordination Strategies and Technical Efficiency: Evidence from the Brazilian Ethanol Industry.” Agribusiness. doi: 10.1002/agr.21556 

2017. Granco, G., Caldas, M. M., Bergtold, J. S., Sant’Anna, A. C. “Exploring the policy and social factors fueling the expansion and shift of sugarcane production in the Brazilian Cerrado.” GeoJournal. Volume 82, Issue 1, 63–80. doi:10.1007/s10708-015-9666-y 

2017. McKee, B., Sant’Anna, A.C., Bergtold, J., Caldas, M., Granco, G. “Trust Me! Examining the Contractual Relationships between Sugarcane Producers and Mills in the Cerrado.” Revista de Extensão e Estudos Rurais, 6, 98. doi: 10.18540/rever62201798-117 

2017. Bergtold, J. S., Caldas, M., Sant’Anna, A. C., Granco, G., Rickenbrode, V. “Indirect Land-Use Change from Ethanol Production: The Case of Sugarcane Expansion at the Farm Level on the Brazilian Cerrado.” Journal of Land Use Science. Volume 12, Issue 6, 442–456. doi: 10.1080/1747423X.2017.1354937 

  • Glacier Change

Chesnokova, A., Baraër, M., Laperrière-Robillard, T., and Huh, K. (2020). Linking Mountain Glacier Retreat and Hydrological Changes in Southwestern Yukon. Water Resource Research, 56, e2019WR025706. https://doi.org/10.1029/2019WR025706.

Huh, K., Baraër, M., Mark, B.G., and Ahn, Y. (2018). Evaluating Glacier Volume Changes since the Littel Ice Age Maximum and Consequences for Stream Flow by Integrating Models of Glacier Flow and Hydrology in the Cordillera Blanca, Peruvian Andes. Water, 10(12), 1732. https://doi.org/10.3390/w10121732

Huh, K., Mark, B.G., Ahn, Y. and Hopkinson, C. (2017). Volume change of tropical Peruvian glaciers from multi-temporal digital elevation models and volume-surface area scaling. Geografiska Annaler: Series A, Physical Geography. Vol.99 (3), 222-239.

Baraer, M., Mark, B.G., McKenzie, J., Huh, K., Condom, T., Gomes, J., Rathay, S. (2012). Glacier recession and water resources in Peru’s Cordillera Blanca, Journal of Glaciology. 58 (207), 134-150.

Huh, K., Mark, B.G., Hopkinson, C. (2012). Changes of topographic context of the Yanamarey glacier in the Tropical Peruvian Andes. International Association of Hydrological Sciences Redbook Proceedings 352-86.

Bury, J. T., Mark, B.G., McKenzie, Baraer, M., Huh, K., Zapata L., M., Gomez, J. (2011). Glacier recession and human vulnerability in the Yanamarey watershed of the Cordillera Blanca, Peru. Climate Change 105(1-2), 179-206.

La Frenierre, J., Huh, K., Mark, B.G. (2011). Ecuador, Peru, Bolivia. In: J. Ehlers, P.L. Gibbard, P.D. Hughes (Ed.). Quaternary Glaciations- Extent and Chronology – A Closer Look. Developments in Quaternary Science, 15, 773-802, Elsevier.

Buffen, A., Thompson, L.G., Mosley-Thompson, E., Huh, K. (2009). Recently exposed vegetation reveals Holocene changes in the extent of the Quelccaya Ice Cap, Peru. Quaternary Research 72, 157-163.

  • Extreme heat mitigation strategies and response

Derakhshan, S., T.N. Bautista, M. Bouwman, L. Huang, L. Lee, J. Tarczynski, I. Wahagheghe, W. Zeng, and T. Longcore (2023).  “Smartphone locations reveal patterns of cooling center use as a heat mitigation strategy”. Journal of Applied Geography 150. doi: 10.1016/j.apgeog.2022.102821. https://www.sciencedirect.com/science/article/pii/S0143622822001928 

Derakhshan, S., T. Longcore, D. Eisenman, J. Dialesandro, and V.K. Turner (2023). “Space-time dynamics in extreme-heat hazard exposure analysis”, Paper presentation. Symposium on Geospatial Approaches to Pressing Grand Challenges: Global Pandemics, Climate Change and Food Security, 2023 American Association of Geographers (AAG) Annual Meeting. 

  • Community resilience and social vulnerability to natural hazards quantifications  

Derakhshan, S., Ch. Emrich, and S. L. Cutter (2022). “Degree and Direction of Overlap between Social Vulnerability and Community Resilience Measurements”.   PLoS ONE 17(10): e0275975. doi: 10.1371/journal.pone.0275975. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0275975 

Derakhshan, S., L. Blackwood, M. Habets, J. F. Effgen, and S. L. Cutter (2022). “Prisoners of Scale: Downscaling Community Resilience Measurements for 
Enhanced Use”. Sustainability. 2022; 14(11):6927. doi: 10.3390/su14116927. https://www.mdpi.com/2071-1050/14/11/6927 

Derakhshan, S., M. E. Hodgson, and S. L. Cutter (2020). “Vulnerability of Populations Exposed to Seismic Risk in theState of Oklahoma.” Journal of Applied Geography124. doi: 10.1016/j.apgeog.2020.102295. https://www.sciencedirect.com/science/article/pii/S0143622820300503 

Cutter, S. L.,   and    S.   Derakhshan (2019).    “Implementing   Disaster   Policy:   Exploring Scale and    Measurement    Schemes     for     Disaster     Resilience.”     Journal of     Homeland Security and Emergency Management, 16(3).  doi: 10.1515/jhsem-2018-0029. https://www.degruyter.com/document/doi/10.1515/jhsem-2018-0029/html 

Cutter, S. L., and S. Derakhshan (2018). “Temporal and spatial change in disaster resilience in US counties, 2010–2015.” Environmental Hazards, 1–20. doi: 10.1080/17477891.2018.1511405. https://www.tandfonline.com/doi/abs/10.1080/17477891.2018.1511405 

Cutter, S.L., C. T. Emrich,M. Gall, S. Harrison, R. R. McCaster, S. Derakhshan, and E. Pham (2019). “Existing Longitudinal Data and Systems for Measuring the Human Dimensions of Resilience, Health, and Well-Being in the Gulf Coast”. White paper prepared for the Gulf Research Program, The National Academies of Sciences, Engineering, and Medicine. https://www.nationalacademies.org/_cache_462d/content/4885770000234289.pdf 

Pham, E., S. Derakhshan, Y. Martin, R. Reeves, and S. L. Cutter (2018). “Demographic shifts and natural hazard losses inthe United States, 2000-2015”. Presentation at the American Association of Geographers Annual Meeting, New Orleans. 

  • Recovery assessment post-disaster 

Derakhshan, S. (2022). “Comparative Recovery Modeling: Baselines and Extent of Built-Environment Recoverability”, Paper presentation. 2022 American Association of Geographers (AAG) Annual Meeting. 

Bui, L., Sh. Sylman, G. Álvarez Rosario, M. Commodore-Mensah, S. Derakhshan, C. McDermot, F. Nibbs, I. Higgs, M. Adegoke, and R. Lane. (2022). “Transdisciplinary Rapid Reconnaissance after Hurricanes Irma and Maria in the U.S. VirginIslands: A Pathway toward Convergence” International Journal of Mass Emergencies and Disasters. https://journals.sagepub.com/doi/abs/10.1177/028072702204000102

Derakhshan, S., S. L. Cutter, and C. Wang (2020). “Remote sensing derived indices for tracking urban land surfacechange in case of earthquake recovery”. Journal of Remote Sensing12, 895. doi: 10.3390/rs12050895. https://www.mdpi.com/2072-4292/12/5/895 

Adegoke, M., L. Agudelo, G. Álvarez Rosario, P. Buchanan, L. Bui, M. Commodore-Mensah, S. Derakhshan, I. Higgs, G.M. Jones,J. Jones, R. Lane, A. Mendez-Heavilin, C. McDermot, K. Montes-Berrios, F. Nibbs, D. Nicholson, C. K. Sun, M. Tesfay, M. Omoya, and O. Vila (2019). “SURGE Scholars Experience: Post-Disaster Research and Service in the U.S.Virgin Islands”. Poster presentation at the 44rd Natural Hazards Workshop, Broomfield, Colorado. 

Álvarez Rosario, G., M. Adegoke, L. Bui, M. Commodore-Mensah, S. Derakhshan, I. Higgs, R. Lane, C. McDermot, F. Nibbs, and Sh. Sylman (2018). “SURGE Scholars Experience: A Service-Learning Approach to Assessing Recovery in the U.S. Virgin Islands”. Poster presentation at the 43rd Natural Hazards Workshop, Broomfield, Colorado. 

  • COVID 19

Chang, S.E., C. Brown, J. Handmer, J. Helgeson, Y. Kajitani, A. Keating, I. Noy, M. Watson, S. Derakhshan, J. Kim, A. Roa-Henriquez (2022).  “Business Recovery from Disasters:  Lessons from Natural Hazards and the COVID-19 Pandemic”. International Journal of Disaster Risk Reduction. doi:10.1016/j.ijdrr.2022.103191. https://www.sciencedirect.com/science/article/pii/S2212420922004101 

Report in PolyCentric: Econ Professor Creates COVID-19 Database, by Cynthia Peters: PolyCentric, Cal Poly Pomona 10/08/2021

Report in PolyCentric: New Study Examines How Interplay of Factors Affect COVID-19 Vaccine Rates, by Cynthia Peters: PolyCentric, Cal Poly Pomona 10/08/2021

US State Covid-19 Trends

Jackson, S., S. Derakhshan, L. Blackwood, L. Lee, Q. Huang, M. Habets, and S.L. Cutter (2021). “Spatial Disparities in COVID -19 Cases and Fatalities in United States Counties”. International Journal of Environmental Research and Public Health 18,8259. doi:10.3390/ ijerph18168259. https://www.mdpi.com/1660-4601/18/16/8259 

Huang, Q., S. Jackson, S. Derakhshan, E. Pham, L. Lee, A. Jackson, and S.L.Cutter. (2021). “Urban Rural Differences in COVID-19 Exposures and Outcomes in the South: A Preliminary Analysis of South Carolina.”  PLoS ONE 16. doi: 10.1371/journal.pone.0246548. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246548 

  • Community General Health

Paper: Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy (preprint), arXiv and medRxiv 1/2022, Lange, C., and Lange, J. Environmental Systems Research Institute (ESRI)
Huh, K. Abdullah, L., and M.Williams, C. (2019). Out of sight, out of mind? Relationship between obesity rate and fast food locations in Los Angeles County. Geospatial Review, Vol.16.
Adolescent Obesity - A Quantitative Analysis Using Bayesian Regression Kriging. Lange, C. and Lange, J. (2016). Environmental Systems Research Institute (ESRI). 

Urban Parrot Project of Southern California

Urban Wildlife & Conservation Education Ortiz Lab

Borrowing on the Wrong Side of the Tracks: Evidence from Mortgage Loan Discontinuities. A. W. Orlando and G. Welke (2023) Social Science Research Network -- to be released soon.
Factors Affecting Spillover Impacts of Low-Income Housing Tax Credit Developments: An Analysis of Los Angeles. B. Y. An, A. Jakabovics, J. Liu, A. W. Orlando, S. Rodnyansky, R. Voith, S. Zielenbach, and R. W. Bostic (2023). Cityscape.
Effects of Concentrated LIHTC Development on Surrounding House Prices. R. Voith, J. Liu, S. Zielenbach, A. Jakabovics, B. An, S. Rodnyansky, A. W. Orlando, and R. W. Bostic (2022) Journal of Housing Economics.
 
Report in PolyCentric: Economics Professor Develops Web Tool for Homebuyers, by Amon Rappaport: PolyCentric, Cal Poly Pomona 10/08/2021.
 
The Physical Legacy of Racism: How Redlining Cemented the Modern Built Environment. B. An, A. W. Orlando, and S. Rodnyansky (2019). Social Science Research Network. http://dx.doi.org/10.2139/ssrn.3500612
 
Location, Location, Location. What does that Really Mean for Housing Prices in GeoWorld. Lange, C.. (2010). The Essencial Voice of the Industrie.
 
John Randolph Haynes Foundation Fellowship, Lange, C. “Applying Geographical Information Systems and Neural Networks to Analyze Residential Housing Prices in selected cities in the Southern California Region,” 2008/2009, $10,000

Paper: A Happy Collaboration Between ArcGIS and R, ArcUser Magazine 9/2021, Vol 24, No. 1, Lange, C., Fraczek, W., and Lange, J. ESRI, Redlands, CA Presentation
 
Predicting Urban Growth Pattern Using GIS and Machine Learning Algorithms, Lange, C. Geodesign Summit 2021.

  • Urban Planning

Co-PI, D. Kim. 2022. A Guide to Navigating Existing and Emerging Sources of Local VMT and Travel Data funded by Mineta Transportation Institute ($27,246 out of $74,686)

Co-PI, D. Kim. 2022. Identification of Infill Housing Development for Smart Urban Growth: Application of Deep Learning Technologies funded by Sungkyunkwan University, Korea ($10,000 out of $30,000)

PI, D. Kim, 2021. Accessory Dwelling Unit (ADU) Potential in the Southern California Association of Governments (SCAG) Region funded by SCAG ($112,360)

PI, D. Kim, 2020. Big Data Research: A Machine Learning Approach to Forecasting Infill Housing Development funded by Southern California Association of Governments (SCAG) ($75,000)

PI, D. Kim. 2018. Analysis of Pedestrian Collisions at Mid-Blocks and Intersections funded by Southern California Association of Governments (SCAG) ($48,000)

 

Journal Publication

Kim, D., Baek, S., Garcia, B., Vo, T., and Wen, F. 2023. The Influence of ADU Policy on the Contributing Factors to ADU Development: A Case of Los Angeles. Journal of Housing and the Built Environment. https://doi.org/10.1007/s10901-022-10000-2

Kim, D., Shim, J., Park, J., Cho, J., and Kumar, S. 2022. Predicting Residential Infill Development in the City of Los Angeles: Supervised Machine Learning Approaches. Journal of Urban Planning and Development. 148(1): 04021060

Kim, D. and Park, K. 2021.  Analysis of Potential Collisions between Pedestrians and Personal Transportation Devices in a University Campus: An Application of Unmanned Aerial Vehicles. Journal of American College Health. https://doi.org/10.1080/07448481.2021.1967358

Kim, D. and Ahn, Y. 2021. The Contribution of Tree and Greenspace to Asthma Emergency Room Visits: An Application of Advanced Spatial Data. Journal of Environmental Research and Public Health, 18(7): 3487.

Kim, D. and Cho, D. 2020. Population Allocation at the Building Level for Microlevel Urban Simulation: A Case of Jeonju, Korea. Asian Journal of Innovation and Policy, 9 (2): 223-239.

Kim, D. 2020.  Pedestrian and Bicycle Volume Data Collection Using Drone Technology. Journal of Urban Technology, 27(2): 45-60.

Kim, D. 2019. The Transportation Safety of Elderly Pedestrian: Modeling Contributing Factors to Elderly Pedestrian Collisions. Accident Analysis and Prevention, 131: 268-274.

Ahn, Y. and Kim, D. 2019. The Prevalence of Asthma and Severe Asthma in Children Influenced by Transportation Factors: Evidence from Spatial Analysis in Seoul, Korea, Cities, 85: 30-37.

Kim, D. 2018. Transportation Contributing Factors to Asthma Morbidity: The Case of Los Angeles County. International Journal of Urban Science, 23(1): 16-29.

Kim, D. and Chanchlani, H. 2018 The Influence of the Built Environment on Spatiotemporal Variation of Pedestrian Collisions in Seoul: An Application of Big Data. Transportation Research Record, 2672(35): 90-100.

Kim, D. and Ahn, Y. 2018. Built Environmental Contributing Factors to the Asthma Morbidity of the Elderly: A Case Study of Seoul, Korea. Journal of Transport and Health, 8: 91-99.

Kim, D., Park, J., and Hong, A. 2018. The Role of Destination’s Built Environment on Nonmotorized Travel Behavior: A Case of Long Beach, California. Journal of Planning Education and Research, 38(2): 152–166.

  • Transportation

Funded External Grant:

Understanding Mobility-Related Challenges for AAPI Older Adults, (February 01, 2023 through December 31, 2023; $75,000), San Jose State Research Foundation (State of California SB-1), PI: Yongping Zhang, Co-PI: Wen Cheng. 

Enhancing Older Adults’ Mobility in Active Living and Tiered Living Communities, (2021-2022;  $75,000), San Jose State Research Foundation (State of California SB-1), PI: Yongping Zhang, Co-PI: Wen Cheng. 
 
“Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas, (2019-2020; $73,353), SJSU Research Foundation (State of California SB-1), PI: Yongping Zhang, Co-PI: Wen Cheng. 
 
“Advanced Research on the Built Environment and Collisions, (2017-2018; $49,817) Southern California Association of Governments (SCAG). PI: Yongping Zhang, Co-PI: Wen Cheng. 

 
Investigation of Multimodal Crashes using Full Bayesian Multivariate Spatial-Temporal Models, UCCONNECT and Caltrans (6/2016~12/2017, $75,000.00). Goal: Enhance traffic safety in the state by developing the spatiotemporal crash models. PI: Wen Cheng.  

California Statewide Traffic Safety Ranking via Empirical Bayes Method, USDOT/National Highway Traffic Safety Administration, (2013~present, $2,221,634.00). Goal: Enhance accuracy of safety performance rankings of counties and incorporated cities in CA using statistical and GIS technologies. PI: Wen Cheng.

University of California Center on Economic Competitiveness in Transportation (UCCONNECT) Faculty Research Grant (PI), $53,774 “OCICATS (Online Community Input Classification to Advance Transportation Services) - A GIS-Based Decision-Support Tool” (2015- 2016), funded by Caltrans

University of California Center on Economic Competitiveness in Transportation (UCCONNECT) Faculty Research Grant (PI), $69,959 “Analyzing Spread of Influence in Social Networks for Transportation Applications” (2015-2016), funded by Caltrans

Journal Publication Record:

 Y. Li, G. Gill, W. Cheng, M. Singh, Y. Zhang, J. Kwong (2023). “Sensitivity Analysis of Bayesian Nonparametric Spatial Crash Frequency Models for Bicyclists”. Journal of Communications in Statistics - Simulation and Computation (Accepted for publication).

 
 
Singh, M., Y. Zhang, W. Cheng, Y. Li, and E. Clay (2022). Exploration of Transit Station-Oriented Active Transportation Safety Using Bivariate Spatial Models with Different Covariate Inputs, Journal of safety research 83, 152-162.
 
Zhang, Y., G. Gill, W. Cheng, P. Reina, M. Singh. (2021) “Exploring Influential Factors and Endogeneity of Traffic Flow of Different Lanes on Urban Freeways using Bayesian Multivariate Spatial Models”, Journal of Traffic and Transportation Engineering (http://kns.cnki.net/kcms/detail/61.1494.U.20211003.0950.002.html )
 
Cheng, W., G. Gill, F. Wen and J. Zhou (2020). “Bayesian Bivariate Semiparametric Spatial Models for Ozone and PM2.5 Emissions”, Journal of Environmental Modelling and Assessment 26 (2), 237-249, (DOI: 10.1007/s10666-020-09732-8. Link: https://rdcu.be/b7i5L)
 
Cheng, W., G. Gill, Y. Zhang, T. Vo, F. Wen, Y. Li (2019). “Exploring the Modeling and Site-Ranking Performance of Bayesian Spatiotemporal Crash Frequency Models with Mixture Components”. Journal of Accident Analysis and Prevention, 135, 135037.
 
Cheng, W., G. Gill, M. Dasu, and X. Jia (2018). “An Empirical Evaluation of Multivariate Spatial Crash Prediction Models”, Journal of Accident Analysis and Prevention, 119, 290-306.
 
Cheng, W., G. Gill, T. Sakrani, D. Ralls, X. Jia (2018). “Modeling the endogeneity of lane-mean speeds and lane-speed deviations using a Bayesian structural equations approach with spatial correlation”. Journal of Transportation Research Part A: Policy and Practice, 116, 220-231, (https://doi.org/10.1016/j.tra.2018.06.014)
 
Cheng, W., G. Gill, T. Vo., J. Zhou, and T. Sakrani (2018). “Use of Multivariate Dirichlet Process Mixture Spatial Model to Estimate Active Transportation-related Crash Counts”, Journal of Transportation Research Record, 0361198118782797.
 
Cheng, W., G. Gill, J. Ensch, J. Kwong, and X. Jia (2018). “Multimodal Crash Frequency Modeling: Multivariate Space-Time Models with Alternate Spatiotemporal Interactions”, Accident Analysis and Prevention, 113, pp. 159-170.
 
Cheng, W., Gill, G., Y. Zhang, Z. Cao (2018). “Bayesian Space-Time Crash Frequency Models with Mixture Components for Spatiotemporal Interaction”. Accident Analysis & Prevention, 112, pp. 84-93. (https://doi.org/10.1016/j.aap.2017.12.020)
 
Cheng, W., Gill, G.^ S., Dasu, R., Xie, M., Jia, X., & Zhou, J. (2017). Comparison of Multivariate Poisson lognormal spatial and temporal crash models to identify hot spots of intersections based on crash types. Accident Analysis & Prevention, 99, pp. 330-341.
 
Gill, G., W. Cheng, M. Xie, T. Vo, X. Jia, J. Zhou. (2017) “Evaluating the Influence of Neighboring Structures on Spatial Crash Frequency Modeling and Site Ranking Performance”, Journal of Transportation Research Record 2659, pp. 117-126. (DOI: 10.3141/2659-13).
 
Gill, G. W. Cheng, J. Zhou, & V. Shin (2017), “Comparative Analysis of Cost-weighted Site Ranking Using Alternate Distance-based Neighboring Structures for Spatial Crash Frequency Modeling”, Journal of Transportation Safety and Security . (DOI: 10.1080/19439962.2017.1354239)

Hao, L., Panangadan, A., & Abellera, L. V. (2016, November). Understanding public sentiment toward I-710 Corridor Project from social media based on Natural Language processing. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on (pp. 2107-2112). IEEE.

Kulkarni, G., Abellera, L., & Panangadan, A. (2018, January). Unsupervised classification of online community input to advance transportation services. In Computing and Communication Workshop and Conference (CCWC), 2018 IEEE 8th Annual (pp. 261-267). IEEE.

Pimpale, P., Panangadan, A., & Abellera, L. V. (2018, January). Analyzing spread of influence in social networks for transportation applications. In Computing and Communication Workshop and Conference (CCWC), 2018 IEEE 8th Annual (pp. 763-768). IEEE.