New method for measuring road quality- A statistical study of the relationship between road quality and socioeconomic development A new tool with implications for road maintenance has the potential to yield statistical data for road quality in a large number of regions. This thesis investigates the possibility to develop a method, from this data, for evaluating the effects of road quality on socioeconomic development. The thesis is essentially divided into two parts. Part one looks to qualitatively establish the link between socioeconomic development and road quality and the second part focuses on how to develop a method for evaluating the effects of road quality on socioeconomic development. A method was devised using categorical data and a multinomial regression model. This method provides a comprehensive overview of the complex relationship between a variety of different variables. To illustrate this method a study was conducted to show the relationship between the proportion of poor roads and prosperity in different regions. The results of the study revealed a strong correlation between the proportion of poor roads and prosperity. This study also illustrates how methods can be developed to raise awareness and increase knowledge over the effects of road quality on socioeconomic development. This information could be useful when evaluating the potential effects of different road projects. It could also make it easier to secure financing for a project, by making the effects of the project easier to predict.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-206201 |
Date | January 2013 |
Creators | Pargéus, Magnus |
Publisher | Uppsala universitet, Matematisk statistik |
Source Sets | DiVA Archive at Upsalla University |
Language | Swedish |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | UPTEC STS, 1650-8319 ; 13024 |
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