Pilot Study on Improving the Efficiency of Transportation Projects Using Laser Scanning, 2003

Laser scanning is a terrestrial laser-imaging system that creates highly accurate three-dimensional images of objects for use in standard computer-aided design software packages. This report describes results of a pilot study to investigate the use of laser scanning for transportation applications in Iowa. After an initial training period on the use of the scanner and Cyclone software, pilot tests were performed on the following projects: intersection and railroad bridge for training purposes; section of highway to determine elevation accuracy and pair of bridges to determine level of detail that can be captured; new concrete pavement to determine smoothness; bridge beams to determine camber for deck-loading calculations; stockpile to determine volume; and borrow pit to determine volume. Results show that it is possible to obtain 2-6 mm precision with the laser scanner as claimed by the manufacturer compared to approximately one-inch precision with aerial photogrammetry using a helicopter. A cost comparison between helicopter photogrammetry and laser scanning showed that laser scanning was approximately 30 percent higher in cost depending on assumptions. Laser scanning can become more competitive to helicopter photogrammetry by elevating the scanner on a boom truck and capturing both sides of a divided roadway at the same time. Two- and three-dimensional drawings were created in MicroStation for one of the scanned highway bridges. It was demonstrated that it is possible to create such drawings within the accuracy of this technology. It was discovered that a significant amount of time is necessary to convert point cloud images into drawings. As this technology matures, this task should become less time consuming. It appears that laser scanning technology does indeed have a place in the Iowa Department of Transportation design and construction toolbox. Based on results from this study, laser scanning can be used cost effectively for preliminary surveys to develop TIN meshes of roadway surfaces. It also appears that this technique can be used quite effectively to measure bridge beam camber in a safer and quicker fashion compared to conventional approaches. Volume calculations are also possible using laser scanning. It seems that measuring quantities of rock could be an area where this technology would be quite beneficial since accuracy is more important with this material compared to soil. Other applications for laser scanning could include developing as-built drawings of historical structures such as the bridges of Madison County. This technology could also be useful where safety is a concern such as accurately measuring the surface of a highway active with traffic or scanning the underside of a bridge damaged by a truck. It is recommended that the Iowa Department of Transportation initially rent the scanner when it is needed and purchase the software. With time, it may be cost justifiable to purchase the scanner as well. Laser scanning consultants can be hired as well but at a higher cost.

Transportation Policy Strategies for Iowa to Advance the Quality of Life, 2004

Building on the policy directions advanced in the publication "Policy Strategies for Iowa in Making Major Road Investments", this report defines each policy issue and discusses how transportation can play a role in addressing it. Perspectives from several focus group meetings conducted in nine communities in Iowa are discussed. The report also examines available data pertaining to the issues. Finally, the report presents several specific recommendations dealing with issues on economic development, safety, choice of transportation modes, and financing transportation in the future. The recommendations are directed at proving the Iowa Transportation Commission with the best possible insights to be used in making investment decisions that will impact the quality of life in Iowa in future years.

Evaluation of Weather Forecasting Services for the Iowa Department of Transportation, CTRE Project 02-126, 2003

The objective of the evaluation of the weather forecasting services used by the Iowa Department of Transportation is to ascertain the accuracy of the forecasts given to maintenance personnel and to determine whether the forecasts are useful in the decision-making process and whether the forecasts have potential for improving the level of service. The Iowa Department of Transportation has estimated the average cost of fighting a winter storm to be about $60,000 to $70,000 per hour. This final report is to provide an evaluation report describing the collection of weather data and information associated with the weather forecasting services provided to the Iowa Department of Transportation and its maintenance activities and to determine their impact in winter maintenance decision-making.

Use of Remote Sensing for Collection of Data Elements for Linear Referencing Systems, 2002

This report evaluates the use of remotely sensed images in implementing the Iowa DOT LRS that is currently in the stages of system architecture. The Iowa Department of Transportation is investing a significant amount of time and resources into creation of a linear referencing system (LRS). A significant portion of the effort in implementing the system will be creation of a datum, which includes geographically locating anchor points and then measuring anchor section distances between those anchor points. Currently, system architecture and evaluation of different data collection methods to establish the LRS datum is being performed for the DOT by an outside consulting team.

Drivers' Behavior at Railroad Grade Crossings: Before and After Safety Campaign, HR-335, Survey Data Summaries, 1992

Summaries of the data gathered for this project.

Iowa Seat Belt Use Survey 2012 Data Collection Methodology Report September 13, 2012

In an effort to achieve greater consistency and comparability in state‐wide seat belt use reporting, the National Highway Traffic Safety Administration (NHTSA) issued new requirements in 2011 for observing and reporting future seat belt use. The requirements included the involvement of a qualified statistician in the sampling and weighting portions of the process as well as a variety of operational details. The Iowa Governor’s Traffic Safety Bureau contracted with Iowa State University’s Survey & Behavioral Research Services (SBRS) in 2011 to develop the study design and data collection plan for the State of Iowa annual survey that would meet the new requirements of the NHTSA. A seat belt survey plan for Iowa was developed by SBRS with statistical expertise provided by Zhengyuan Zhu, Ph.D., Associate Professor of Statistics at Iowa State University. The Iowa plan was submitted to NHTSA in December of 2011 and official approval was received on March 19, 2012.

Data Processing Systems Manual: Highway Noise Prediction, 1972

The Data Processing Department of ISHC has developed coding forms to be used for the data to be entered into the program. The Highway Planning and Programming and the Design Departments are responsible for coding and submitting the necessary data forms to Data Processing for the noise prediction on the highway sections.

2001 Iowa Department of Transportation Organizational Survey, Final report, 2001

In February 2001, all 3,595 employees of the Iowa Department of Transportation (IDOT) were invited to participate in a survey related to job satisfaction and work practices. This survey partially replicated assessments made by random, stratified samples of IDOT employees in 1984, 1988, and 1993. The present survey was designed to allow for generalizations about all IDOT employees and various subgroups of employees (i.e., majority and minority employees, males and females, and employees less than 40 years of age and those 40 years of age or older).

Final Report: 1988 Iowa Department of Transportation Organizational Survey, 1988

In June 1988, 1341 employees of the Iowa State Department of Transportation (DOT) were surveyed via a mailed questionnaire. The sample was selected such that conclusions about all DOT employees, male employees, female employees, majority employees; minority employees, employees under age 40, and employees 40 years of age or older could be made. These sampling characteristics were chosen in order to facilitate comparisons between current DOT employee attitudes and employee attitudes evaluated in 1984. In addition, the sample size and response rates were sufficiently high that conclusions could be made about each of the six districts, the Ames Highway Division, and the Ames complex, excluding the Highway Division. Altogether fifty-five percent (or 739) questionnaires were· returned. Thirty additional employees voluntarily completed the survey, resulting in a final sample size of 769. The survey covered topics related to job satisfaction, work environment or climate, skill utilization, sexual harassment, communication and information adequacy, and morale. The first four topics were evaluated in 198- while the last two were unique to this survey.

Final Report: 1993 Iowa Department of Transportation Organizational Survey, 1993

In March 1993, all 3, 666 employees of the Iowa Department of Transportation (DOT) were invited to participate in a survey related to morale and work practices. Survey questionnaires were sent to employees / homes and participation in the study was voluntary. This survey, in part, replicates assessments made by random, stratified samples of DOT employees in 1984 and 1988. Thus it is possible to evaluate some changes in morale and work practices at three points in time. The present survey was designed to allow for generalizations about all DOT employees and various subgroups of employees (i.e., majority and minority employees, males and females, employees less than 40 years of age and those 40 years of age or older, and work area location). Altogether, 2249 usable questionnaires were returned, yielding a much higher-than-average response rate 61.3%.

Automated Collection of Sign Inventory Information by Integrating Global Positioning System (GPS) with Videologging Data Collection Activities, 1995

Advances in communication, navigation and imaging technologies are expected to fundamentally change methods currently used to collect data. Electronic data interchange strategies will also minimize data handling and automatically update files at the point of capture. This report summarizes the outcome of using a multi-camera platform as a method to collect roadway inventory data. It defines basic system requirements as expressed by users, who applied these techniques and examines how the application of the technology met those needs. A sign inventory case study was used to determine the advantages of creating and maintaining the database and provides the capability to monitor performance criteria for a Safety Management System. The project identified at least 75 percent of the data elements needed for a sign inventory can be gathered by viewing a high resolution image.

Narrative transportation in global brand content

People understand life and events around them through narratives. Narratives are a new way for marketers to convey messages to consumers about their brands and products. Brand narratives are an effective way to reach out to people due to their influential nature. Narratives have a power to change beliefs and attitudes, making them relevant and interesting for any marketer. The power of narratives has to do with narrative transportation, which narratives can trigger in people. A transported person is more likely to perceive brand or product in a more positive light. The creators of the narrative are able to influence the content of the narrative through message factors that work as antecedents for narrative transportation. This study explored narrative transportation qualities of well established advertisements. The study uses qualitative content analysis to analyze and identify narrative transportation antecedents among Cannes Lion grand prix winners in the film category between years 2005 to 2015 (15 in total). The narrative transportation antecedents are identifiable characters, imaginable plot and verisimilitude, which were used in the analysis of the data. The study analyzes the winners to make judgment on whether they can trigger narrative transportation or not. It was found that the Cannes Lion grand prix winner advertisement mostly had identifiable narratives in them. In most of the advertisement (ten out of fifteen) at least two out of three antecedents were found, thus most of them are able to trigger narrative transportation. The study also found that most narratives in the advertisement were able to be linked to the main brand narrative of the advertiser. In four of the advertisements the link to the brand narrative was not able to be established. The study concludes by discussing certain factors and aspects of the advertisements that were identified to further enhance the narrative transportation qualities of the advertisement.

Defining the Resolution of a Network for Transportation Analyses: a New Method to Improve Transportation Planning Decisions

Travel demand models are important tools used in the analysis of transportation plans, projects, and policies. The modeling results are useful for transportation planners making transportation decisions and for policy makers developing transportation policies. Defining the level of detail (i.e., the number of roads) of the transport network in consistency with the travel demand model’s zone system is crucial to the accuracy of modeling results. However, travel demand modelers have not had tools to determine how much detail is needed in a transport network for a travel demand model. This dissertation seeks to fill this knowledge gap by (1) providing methodology to define an appropriate level of detail for a transport network in a given travel demand model; (2) implementing this methodology in a travel demand model in the Baltimore area; and (3) identifying how this methodology improves the modeling accuracy. All analyses identify the spatial resolution of the transport network has great impacts on the modeling results. For example, when compared to the observed traffic data, a very detailed network underestimates traffic congestion in the Baltimore area, while a network developed by this dissertation provides a more accurate modeling result of the traffic conditions. Through the evaluation of the impacts a new transportation project has on both networks, the differences in their analysis results point out the importance of having an appropriate level of network detail for making improved planning decisions. The results corroborate a suggested guideline concerning the development of a transport network in consistency with the travel demand model’s zone system. To conclude this dissertation, limitations are identified in data sources and methodology, based on which a plan of future studies is laid out.

Essays in Personal Transportation Demand and Consumer Finance

This dissertation is composed of three essays covering two areas of interest. The first topic is personal transportation demand with a focus on price and fuel efficiency elasticities of mileage demand, challenging assumptions common in the rebound effect literature. The second topic is consumer finance with a focus on small loans. The first chapter creates separate variables for fuel prices during periods of increasing and decreasing prices as well as an observed fuel economy measure to empirically test the equivalence of these elasticities. Using a panel from Germany from 1997 to 2009 I find a fuel economy elasticity of mileage of 53.3%, which is significantly different from the gas price elasticity of mileage during periods of decreasing gas prices, 4.8%. I reject the null hypothesis or price symmetry, with the elasticity of mileage during period of increasing gas prices ranging from 26.2% and 28.9%. The second chapter explores the potential for the rebound effect to vary with income. Panel data from U.S. households from 1997 to 2003 is used to estimate the rebound effect in a median regression. The estimated rebound effect independent of income ranges from 17.8% to 23.6%. An interaction of income and fuel economy is negative and significant, indicating that the rebound effect may be much higher for low income individuals and decreases with income; the rebound effect for low income households ranged from 80.3% to 105.0%, indicating that such households may increase gasoline consumption given an improvement in fuel economy. The final chapter documents the costs of credit instruments found in major mail order catalogs throughout the 20th century. This study constructs a new dataset and finds that the cost of credit increased and became stickier as mail order retailers switched from an installment-style closed-end loan to a revolving-style credit card. This study argues that revolving credit's ability to decrease salience of credit costs in the price of goods is the best explanation for rate stickiness in the mail order industry as well as for the preference of revolving credit among retailers.

Behavioral Response to Environmental Taxation: Evidence from the Transportation Sector

This dissertation analyzes how individuals respond to the introduction of taxation aimed to reduce vehicle pollution, greenhouse gases and traffic. The first chapter analyzes a vehicle registration tax based on emissions of carbon dioxide (CO2), a major greenhouse gas, adopted in the UK in 2001 and subject to major changes in the following years. I identify the impact of the policy on new vehicle registrations and carbon emissions, compared to alternative measures. Results show that consumers respond to the tax by purchasing cleaner cars, but a carbon tax generating the same revenue would further reduce carbon emissions. The second chapter looks at a pollution charge (polluting vehicles pay to enter the city) and a congestion charge (all vehicles pay) adopted in 2008 and 2011 in Milan, Italy, and how they affected the concentration of nitrogen dioxides (NOx). I use data from pollution monitoring stations to measure the change between areas adopting the tax and other areas. Results show that in the first quarter of their introduction, both policies decreased NOx concentration in a range of -8% and -5%, but the effect declines over time, especially in the case of the pollution charge. The third chapter examines a trial conducted in 2005 in the Seattle, WA, area, in which vehicle trips by 276 volunteer households were recorded with a GPS device installed in their vehicles. Households received a monetary endowment which they used to pay a toll for each mile traveled: the toll varied with the time of the day, the day of the week and the type of road used. Using information on driving behavior, I show that in the first week a $0.10 toll per mile reduces the number of miles driven by around 7%, but the effect lasts only few weeks at most. The effect is mainly driven by a reduction in highway miles during trips from work to home, and it is strongly influenced by past driving behavior, income, the size of the initial endowment and the number of children in the household.