Investigation of the Influence of Boundary Data Assignment on the Development of Multimodal Macro-level Collision Prediction Models (CPMs)

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.

Creator: 

Ihssian, Ali

Date: 

2014

Abstract: 

Collision counts data has shown that significant proportion of collisions occur frequently on the boundary of Traffic analysis zones (TAZs). Consequently, the way in which collisions, and also other geocoded data, along TAZs’ boundaries are assigned into adjacent zones is of interest because it has direct impact on the prediction ability of macro-level CPMs. In this study, data for 422 TAZs from the City of Ottawa was used to develop macro-level CPMs. Geocoded data on TAZ’s boundary were assigned between adjacent TAZs using ten different assignment methods. Models to predict total, non-fatal
injury, fatal, property damage only (PDO), bike-involved, and pedestrian-involved collisions were developed. The collisions were related to four categories of independent variables. Results of the developed models show that different geocoded boundary data assignment methods do affect the accuracy of developed CPMs results significantly. It was found that allocating boundary data to TAZs evenly improved model results significantly.

Subject: 

Engineering - Civil

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Applied Science: 
M.App.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Engineering, Civil

Parent Collection: 

Theses and Dissertations

Items in CURVE are protected by copyright, with all rights reserved, unless otherwise indicated. They are made available with permission from the author(s).