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For Whom The Tunnel Be Tolled: A Four-Factor Model For Explaining Willingness-To-Pay Tolls, Juita-Elena (Wie) Yusuf, Lenahan O'Connell, Khairul A. Anuar Jan 2014

For Whom The Tunnel Be Tolled: A Four-Factor Model For Explaining Willingness-To-Pay Tolls, Juita-Elena (Wie) Yusuf, Lenahan O'Connell, Khairul A. Anuar

School of Public Service Faculty Publications

This research examines citizen acceptance of tolls and road pricing, and specifically focuses on determinants of the individual’s expressed willingness-to-pay tolls to use a tunnel express lane that would be free of traffic delays. We answer the research question “What factors influence citizens’ willingness-to-pay tolls” by empirically estimating a four factor model of willingness-to-pay: (a) direct benefit to the respondent; (b) relative cost over time; (c) community concern; and (d) political and environmental liberalism. We use data about citizen perceptions from the Life in Hampton Roads Survey, a survey of residents of Hampton Roads, Virginia. We find that willingness-to-pay is …


Outsourcing Expert Services By State Transportation Departments: A Look At Effects On Cost, Quality, And Changing Employment Levels, Juita-Elena Yusuf, Lenahan O'Connell Jan 2014

Outsourcing Expert Services By State Transportation Departments: A Look At Effects On Cost, Quality, And Changing Employment Levels, Juita-Elena Yusuf, Lenahan O'Connell

School of Public Service Faculty Publications

Privatization has increasingly become a policy option for government agencies struggling to meet rising demands for services but with fewer resources. In the transportation arena, many state departments of transportation (DOTs) have privatized by outsourcing highway functions to the private sector. But the outsourcing of technical and expert services such as those related to the design and construction of highway infrastructure may result in a smaller or less knowledgeable DOT workforce that is unable to perform the necessary contract management to ensure the quality of the work done by contractors. We posit an outsourcing process in which DOTs respond to …


Modelling Follow Up Time At A Single-Lane Roundabout, Xiaobo Qu, Jin Zhang, Shuaian Wang, Zhiyuan Liu Jan 2014

Modelling Follow Up Time At A Single-Lane Roundabout, Xiaobo Qu, Jin Zhang, Shuaian Wang, Zhiyuan Liu

School of Public Service Faculty Publications

The follow up time is an important parameter for estimating the entry capacity of roundabouts. However, its variability and contributing factors have long been ignored in the literatures. In this study, 171 follow up samples and contributing factors (traffic volume, vehicle position, waiting vehicles behind, vehicle type, and drivers’ gender) are collected at a roundabout in Pacific Pines, Australia. It is found that the follow up time is indeed significantly affected by traffic volume, waiting vehicles behind, vehicle type, and drivers’ gender. In order to establish the relationship between the follow up time and its contributing factors, an inverse Gaussian …


Evaluating Spatial Model Accuracy In Mass Real Estate Appraisal: A Comparison Of Geographically Weighted Regression And The Spatial Lag Model, Paul E. Bidanset, John R. Lombard Jan 2014

Evaluating Spatial Model Accuracy In Mass Real Estate Appraisal: A Comparison Of Geographically Weighted Regression And The Spatial Lag Model, Paul E. Bidanset, John R. Lombard

School of Public Service Faculty Publications

Geographically weighted regression (GWR) has been shown to greatly increase the performance of ordinary least squares-based appraisal models, specifically regarding industry standard measurements of equity, namely the price-related differential and the coefficient of dispersion (COD; Borst and McCluskey, 2008; Lockwood and Rossini, 2011; McCluskey et al., 2013; Moore, 2009; Moore and Myers, 2010). Additional spatial regression models, such as spatial lag models (SLMs), have shown to improve multiple regression real estate models that suffer from spatial heterogeneity (Wilhelmsson, 2002). This research is performed using arms-length residential sales from 2010 to 2012 in Norfolk, Virginia, and compares the performance of GWR …


The Role Of Politics And Proximity In Sea Level Rise Policy Salience: A Study Of Virginia Legislators’ Perceptions, Juita-Elena (Wie) Yusuf, Burton St. John Iii, Ivan K. Ash Jan 2014

The Role Of Politics And Proximity In Sea Level Rise Policy Salience: A Study Of Virginia Legislators’ Perceptions, Juita-Elena (Wie) Yusuf, Burton St. John Iii, Ivan K. Ash

School of Public Service Faculty Publications

The acceleration of sea level rise (SLR) has become a threat to the stability of nation-states worldwide and associated with risks to environmental sustainability, economic infrastructure, and public health. However, from both an international and U.S. perspective, there is a lack of research examining legislative decision makers’ perceptions about policies regarding SLR. This study addresses that gap by examining how politics and proximity affects Virginia state legislators’ perceptions of the saliency of SLR. A survey of these legislators reveals their perceptions of credible sources of information, SLR-related risk, and who should take the lead to address SLR. While this study …


The Effect Of Kernel And Bandwidth Specification In Geographically Weighted Regression Models On The Accuracy And Uniformity Of Mass Real Estate Appraisal, Paul E. Bidanset, John R. Lombard Jan 2014

The Effect Of Kernel And Bandwidth Specification In Geographically Weighted Regression Models On The Accuracy And Uniformity Of Mass Real Estate Appraisal, Paul E. Bidanset, John R. Lombard

School of Public Service Faculty Publications

The article presents a study which examines the performance of kernel and bandwidth specification in geographically weighted regression (GWR) models in mass real estate appraisal. The kernels employed in the study are the bi-square kernel and the Gaussian kernel. Data from the sales of single-family homes in Norfolk, Virginia from 2010 to 2012 are highlighted.