This paper evaluates the performance of Poisson and negative binomial (NB) regression models in establishing the relationship between truck accidents and geometric design of road sections. Three types of models are considered. Poisson regression, zero-inflated Poisson (ZIP) regression, and NB...

Geothermal development in The Geysers KGRA has affected local public services and fiscal resources in Sonoma, Lake, Mendocino, and Napa counties. Each of these counties underwent rapid population growth between 1970 and 1980, some of which can be attributed to geothermal development. The number...

This paper is based on empirical data obtained from a large scale survey of the Queensland road industry in 2002. The survey focused on innovation activity in the industry and this paper examines a key part of that study – knowledge flows. This focus responds to the rapidly increasing...

The importance of accurate estimates during the early stages of infrastructure projects has been widely recognised for many years. In an early estimation there is a compromise between the amounts of information available and accuracy of estimation. In this paper three levels of analysis were...

The study investigates the extent of distributional impacts of labour-intensiveroad projects using a geographical approach. The aim is to evaluateinfrastructural effectiveness. The central premise is that the interface betweenroad investment and economic development has broad implications that...

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Many studies focused on the development of crash prediction models have resulted in aggregate crash prediction models to quantify the safety effects of geometric, traffic, and environmental factors on the expected number of total, fatal, injury, and/or property damage crashes at specific...

Labour ‘flexibility’ is often portrayed as important to competitive success. Using evidence from an original survey of UK firms, this paper investigates the relationships between firms' use of, on the one hand, various flexible work practices, human resource management techniques, and...

Most studies of wage differentials explain such differentials in terms of factors like gender, race, and human capital. But systematic gaps in earnings can arise even among homogenous individuals as a result of asymmetric employer and worker information gaps, thereby reflecting labour market...