Meysam Effati

Geospatial and machine learning techniques for wicked social science problems: analysis of crash severity on a regional highway corridor

Meysam Effati, Jean‐Claude Thill, Shahin Shabani · Journal of Geographical Systems · 2015 · 43 citations

Crash Severity, Data Science, Road Traffic Safety +7

Examining the influence of rural land uses and accessibility-related factors to estimate pedestrian safety: The use of GIS and machine learning techniques

Meysam Effati, Mahyar Vahedi Saheli · International Journal of Transportation Science and Technology · 2021 · 39 citations · Full text

Populated Rural Areas, Engineering, Land Use +17

Segment-Based Count Regression Geospatial Modeling of the Effect of Roadside Land Uses on Pedestrian Crash Frequency in Rural Roads

Mahyar Vahedi Saheli, Meysam Effati · International Journal of Intelligent Transportation Systems Research · 2021 · 20 citations

Quantitative Spatial Model, Spatial Statistical Analysis, Land Use +7

Prediction of Crash Severity on Two-Lane, Two-Way Roads Based on Fuzzy Classification and Regression Tree Using Geospatial Analysis

Meysam Effati, Mohammad Rajabi, Farshad Hakimpour et al. · Journal of Computing in Civil Engineering · 2014 · 19 citations

Crash Severity, Engineering, Safety Science +19

Developing a Novel Method for Road Hazardous Segment Identification Based on Fuzzy Reasoning and GIS

Meysam Effati, Mohammad Rajabi, Farhad Samadzadegan et al. · Journal of Transportation Technologies · 2012 · 18 citations · Full text

Engineering, Safety Science, Injury Prevention +20