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• W588372685 abstract "This work presents a model by which road network congestion (traffic congestion) may be analyzed at spatial units other than the road segments themselves. Using Geographic Information Systems (GIS), I present a method for apportioning road segments and aggregating the characteristics of the segments – namely, an index of the potential for congestion to occur at various times of day – to any polygon containing them. The present work uses U.S. Census Block Groups as the unit of analysis; however, any areal unit can be used, including traffic analysis zones (TAZs), zoning zones, or even entire municipalities. The method of aggregating characteristics to larger areal units allows for easier analysis in combination with other data sources. To increase the usefulness of the method, aggregation is completed using several different methods. In this analysis, road traffic volumes and capacity estimates are used in conjunction with population data and population change forecasts to visualize the potential for congestion at present, and to project the potential for congestion in 2030. The areas most and least at risk of congestion are identified, so as to inform thought and effort around planning on a regional scale in southern Maine. The area of study includes large portions of York and Cumberland Counties, as well as a small portion of Androscoggin County, in the Greater Portland region. Visualizing Road Network Congestion 3 Acknowledgements I am indebted to many who have advised and provided data and insight on this project. I extend my heartfelt thanks to Dr. Jack Kartez, for leading the original land use modeling seminar where this work originated, and for his advice on the present work; and to Dr. Yuseung Kim, for his advice and direction on meeting the particular requirements of the capstone. I am grateful to Amanda Rector, State Economist in the Governor’s Office of Policy and Management, for being very responsive to my queries about population projections. I wish also to thank the following at the Maine Department of Transportation for their assistance in providing lots of interesting data and interpretation: Ed Hanscom, Edward Beckwith, and Sam Krajewski. Lastly, my love and appreciation to my wife, Laura, for graciously taking care of our tax returns for the past several years while I have been occupied, in one form or another, with this work. Visualizing Road Network Congestion 4 Table of" @default.
• W588372685 created "2016-06-24" @default.
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• W588372685 date "2015-01-01" @default.
• W588372685 modified "2023-09-27" @default.
• W588372685 title "Visualizing Road Network Congestion to Inform Regional Planning in Southern Maine" @default.
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