Personal Information

Name: Meysam
Surname: Effati
Place of Birth: Rasht
Year of birth: 1985
Address: Room 114, Second Floor, Faculty of Engineering, Technical University of Guilan,  Rasht, 6th Gulf Highway, Gilan, Iran

Address and contact number

Call number: +981333690274 to 8 – inlane 3076
Residence address: Gilan Province
E-mail address:


DegreeField of StudyUniversityYear
BachelorCivil Engineering SurveyingIran University of Science & Technology2002-2006
  • Completion of the course during the 7th semester and first rank at the Faculty of Engineering of the University of Science and Technology
  • MasterCivil Engineering Surveying - GISUniversity of Tehran2006-2008
    First rank of technical faculty, University of Tehran.
    DoctoralCivil Engineering Surveying - GISUniversity of Tehran2008-2013
    Joint research projectNorth Carolina (UNCC) United States of America
    TOPIC: Spatial Analysis of the Role of Arches on Interstate Highway Accidents in Seven States Using GIS and Soft Computing

    Referee to the International Journal’s:

    • Accident Analysis and Prevention (Elsevier, UK)
    • Journal of Transportation Technology, USA
    • Computing in Civil Engineering (ASCE, USA)
    • Case Studies on Transport Policy (Elsevier, Netherlands)
    • IET Intelligent Transport Systems
    • Journal of Geomatics Science And Technology, University of Tehran
    • Amirkabir Journal of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic)
    • Journal of Structural and Construction Engineering (JSCE),

    Member of the Editorial Board of the “Geospatial Engineering Journal”, Management and Planning Organization of Gilan


    • Analysis of Spatial Data", 2011, Third Edition 2013
    • Preparation and Analysis of Engineering Maps,2016


    • Handling Uncertainty in Path Finding Using Fuzzy Logic at the Map Asia 2008 Thailand Conference.
    • Development of Modern Cadastral Systems on the Web,GIS87 Conference of Mapping Organization, Ministry of Interior and Open University, 2008.
    • Evaluation and Revision of SRTM Data as a Suitable Source of Elevation for GIS Applications,National Conference on Natural Disasters and Earth Sciences 2009 EOGC, Beijing, China, 2009.
    • Flood Risk Management in Transportation Network Using GIS,Second International Conference on Traffic and Accidents (ITAC), Iran, 2009.
    • Application of GIS for Roads vulnerability Assessment and Emergency Management in Flood Disaster, Natural and Earth Sciences Conference 2009 EOGC, Beijing, China, 2009.
    • Risk Analysis of Transport Networks Using a Fuzzy Based Multi-Criteria Decision Making System, MaCMASTER University Transportation and Logistics Conference (2009) (TRANSLOG, Canada, 2009).
    • Population Safety and Transportation Network Management in Disaster Management Using GIS, 6th International Conference on Earth Sciences (ISDE6), China, 2009.
    • Design and Development of a Mobile GIS for Urban Property Survey at MapAsia 2010 Conference (Date: September 2010)
    • Analysis of Uncertainty Considerations in Path Finding Applications at the 5th International Symposium on New Technologies and Technology, Iran, May 12-14, 2011
    • Developing a Novel Method for Road Hazardous Segment Identification Based on Fuzzy Reasoning and GIS ,Journal of Transportation Technologies، 2012.
    • Prediction of Crash Severity on Two-Lane, Two-Way Roads Based on Fuzzy Classification and Regression Tree Using Geospatial Analysis"  Journal of Computing in Civil Engineering ، 2014.
    • A Geospatial Based Neuro-Fuzzy Modeling for Regional Transportation Corridors Hazardous Zones Identification، International Journal of Civil Engineering، In Press، 2014
    •  Geospatial and Machine Learning Techniques For Wicked Social Science Problems: Analysis Of Crash Severity On a Regional Highway Corridor ، Journal of Geographical Systems، Springer، 2015
    •  A Semantic-Based Classification and Regression Tree Approach For Modelling Complex Spatial Rules In Motor Vehicle Crashes Domain ، WIREs Data Mining and Knowledge Discovery، Wiley، 2015
    • The Crash Intensity Evaluation Using General Centrality Criteria and A Geographically Weighted Regression, ISPRS International Conference, University of Tehran, 2017
    • Developing an Uncertainty Based Reasoning Approach for Bus Rapid Transit Systems Deployment Planning, Case Study: BRT Lane of Rasht City, Computational Research Progress in Applied Science & Engineering (CRPASE), 2018
    • Providing a Method for Predicting the Concrete Slump Based on Adaptive Neuro-Fuzzy Inference System, JOURNAL OF STRUCTURAL AND CONSTRUCTION ENGINEERING, 2019
    • Investigation of factors contributing to pedestrian crash severity in rural roads, Journal of Injury and Violence Research, 2019
    • Examining the impact of land-use related factors on rural traffic collisions, Journal of Injury and Violence Research, 2019.
    • Developing a Model Based on Geospatial Information Systems (GIS) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for Providing the Spatial Distribution Map of Landslide Risk. Case Study: Alborz Province, Journal of Geomatics Science and Technology, 2020.
    • Subway Station Site Selection Using GIS-Based Multi-Criteria Decision-Making: A Case Study in a Developing Country, Computational Research Progress in Applied Science & Engineering, 2020.
    • Modelling and Analyzing the Severity of Two-Lane Highway Crashes Using the Spatial Data mining, Case Study: Old Corridor of Qazvin-Loshan, Journal of Civil and Environmental Engineering, 2020.
    • Segment-Based Count Regression Geospatial Modeling of the Effect of Roadside Land Uses on Pedestrian Crash Frequency in Rural Roads, International Journal of Intelligent Transportation Systems Research, 2021.
    • Providing a GIS-based framework for Run-Of-River hydropower site selection: a model based on sustainable development energy approach, Civil Engineering and Environmental Systems, 2021.
    • Examining the influence of rural land uses and accessibility-related factors to estimate pedestrian safety: The use of GIS and machine learning techniques, International Journal of Transportation Science and Technology, 2021.
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