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Author ORCID Identifier

https://orcid.org/0000-0001-8887-9061

Date Available

11-28-2021

Year of Publication

2021

Document Type

Master's Thesis

Degree Name

Master of Civil Engineering (MCE)

College

Engineering

Department/School/Program

Civil Engineering

Faculty

Dr. Nikiforos Stamatiadis

Faculty

Dr. Sebastian Bryson

Abstract

A Context Classification System based on context attributes of the area surrounding a roadway provides detailed information about the environment of a roadway corridor, while enabling practitioners to cater roadway projects to the community they are within. This study sought to create a system that would automatically classify roadway segments into the correct context, using data sources that are available nationwide. The proposed approach was tested by classifying the roadways in Highway District 7 of the Kentucky Transportation Cabinet. This process would make context classification approachable to more organizations, as it would reduce the amount of time required to apply a classification to a large network and would increase the consistency within a district- or state-wide classification. Measures evaluated include population density, employment density, building density, intersection density, street density, and block length.

Digital Object Identifier (DOI)

https://doi.org/10.13023/etd.2022.214

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