Evaluating Relationship Among Built Environment, Road Encroachment And Road Safety

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dc.contributor.author Faiza, Mahanaz
dc.contributor.author Jaanvi, Chowdhury Jemeem Abrar
dc.contributor.author Washi, Ashrar Al
dc.contributor.author Sama, Sadia Afrin
dc.date.accessioned 2024-08-19T10:03:58Z
dc.date.available 2024-08-19T10:03:58Z
dc.date.issued 2023-05-30
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Encroachments. State of Wisconsin Department of Transportation. Retrieved May 10, 2013, from https://wisconsindot.gov/Pages/doing-bus/real estate/roadsides/encroachments.aspx World Bank. (n.d.) Data for Bangladesh, Lower middle income | Data. Retrieved September 8, 2022, from https://data.worldbank.org/?locations=BD-XN. Yan, X., & Radwan, E. (2008). Influence of restricted sight distances on permitted left-turn Operation at signalized intersections. Journal of Transportation Engineering, 134(2), 68–76. https://doi.org/10.1061/(asce)0733-947x(2008)134:2(68) en_US
dc.identifier.uri http://hdl.handle.net/123456789/2128
dc.description Supervised by Dr. Moinul Hossain, Professor, Department of Civil and Environmental Engineering (CEE), Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh. en_US
dc.description.abstract In recent years, developing countries have encountered issues such as road traffic crashes, injuries and property loses as a consequence of roadside activities. These are emergent, difficult, and one of the most pressing concerns in Bangladesh, as well as in many other developing countries. Several studies have quantified traffic characteristics due to encroachment but many significant factors which are most affected by and cause encroachment, remain unexplored. This study aims to identify the underlying causes of encroachment, and their impact on the built environment and vice versa, as well as the unexplored relationship between encroachment and road safety. Using GIS tool, 249 four legged intersections were identified for data processing and categorization. A fishbone diagram was developed to identify the 8 main factors – permitted traffic movement, land use, road furniture, pedestrian facility, signal/sign/road marking/pavement, right-of-way, public transport, goods vehicle, and visibility. In the input data set, the feature importance score for each variable was determined, and the variables with the greatest influence were selected using the C4.5 decision tree algorithm. Lastly, a Multinomial Logit Regression model was developed using the features deemed important by the C4.5 algorithm to predict the encroachment severity and the most influential factors behind it. The findings of this study offer valuable insights that can serve as a resource for policy makers and law enforcement authorities in formulating policies and implementing measures to reduce roadside encroachments and its resulting adversities en_US
dc.language.iso en en_US
dc.publisher Department of Civil and Environmental Engineering(CEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.subject Road Encroachment, Built Environment, Vehicle Visibility, Pedestrian Movement, Land Use, Road Safety, C4.5 Decision Tree Algorithm, Multinomial Logit Regression en_US
dc.title Evaluating Relationship Among Built Environment, Road Encroachment And Road Safety en_US
dc.type Thesis en_US


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