- Professor
- Associate Professor
- Arel, Barbara Ph.D.
- Bonifield, Carolyn M Ph.D.
- Cats-Baril, William L. Ph.D.
- Dempsey, Stephen J. Ph.D.
- Hughes, Susan B. Ph.D.
- Jones, David A. Ph.D.
- Lucas, Marilyn T. Ph.D.
- Novak, David Ph.D.
- Parke, E. Lauck Ph.D.
- Tomas III, Michael J. Ph.D.
- Vanden Bergh, Richard G. Ph.D.
- Zhang, Chun Ph.D.
- Assistant Professor
- Lecturer/Sr Lecturer
- Lecturer (Part Time)
- Faculty Emeritus
- Averyt, William F. Ph.D.
- Battelle, Peter E. M.B.A.
- Brandenburg, Richard G. Ph.D.
- Gatti, James F. Ph.D.
- Gurdon, Michael A. Ph.D.
- Jesse, Richard R. Ph.D.
- Kraushaar, James M. Ph.D.
- Laber, Gene Ph.D.
- Savitt, Ronald Ph.D.
- Severance, Malcolm Ph.D.
- Shirland, Larry E. Ph.D.
- Tashman, Len J. Ph.D.

David Novak, Ph.D. Associate Professor
Contact Information
Office: 310 Kalkin
Phone: 656-4043
E-Mail: david.novak@uvm.edu
Office Hours: TTH 10:30-11:15 or by appointment
Dave Novak is an Associate Professor in the School of Business at the University of Vermont. His research interest centers on the application of decision sciences / operations research based solution methodologies to solve a variety of real-world problems. Much of his recent work has focused on the design and use of modeling approaches and performance measures that address complex characteristics of systems such as the spatial structure of transportation and communications networks and relationships between nodes, links, and flows within those systems. He is particularly interested in the overlap between operations research, spatial geography, policy / planning, and decision support system. Dr. Novak is an Associate Faculty member at the University of Vermont's Transportation Research Center (TRC) and is affiliated with the Complex Systems Center (CSC) at UVM.
His teaching interests are fairly diverse and include topics related to decision analysis and decision support, analytics and applied statistics, and the use of information technology / information systems to improve decision making. Dr. Novak typically teaches BSAD 141, Introduction to Management Information Systems and BSAD 146, an elective Communications Networking course.
Dr. Novak earned his Ph.D. in Management Science and Information Technology from Virginia Tech in 2001 and his M.S. in Agriculture and Applied Economics from Virginia Tech in 1994. After completing his Master's degree, he spent about 4 years working for an economic and financial consulting firm in the Washington, DC area. He has also worked as an analyst in the research and development branch of a telecommunications / networking firm and has worked in the transportation engineering group for a transportation research center at a large public university. He has published in journals such as the European Journal of Operational Research, Decision Support Systems, Computers and Operations Research, Networks and Spatial Economics, Transportation Research Part A, and the Journal of Transport Geography.
Link to Dr. Novak's CV .
Please feel free to visit Dave's personal Web site .
Link to spring 2013 courses .
Courses Currently Taught by David Novak:
Publication History
Journal Article, Academic Journal
- Novak, D. C.; Sullivan, J. L.; Scott, D. M. - "A Network-based Approach for Evaluating and Ranking Transportation Roadway Projects" (Refereed)
- Applied Geography, Elsevier
- 2012 - v. 34, no. May 2012, pp. 498-506
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Abstract: The evaluation and prioritization of transportation projects has traditionally been based on localized performance criteria that do not necessarily consider how projects may impact the network as a whole. We demonstrate a spatially sensitive, system-based approach referred to as, Network Trip Robustness (NTR), to evaluate and rank transportation roadway projects. The approach incorporates network topology, network connectivity, and the rerouting of traffic on roadway links into the evaluation process. We illustrate our approach in practice using the actual road network, travel demand data, and candidate roadway projects from the Chittenden County Regional Planning Commission (CCRPC) of Vermont. Results are discussed in the context of which roadway projects provide the greatest expected travel time benefits for the network as a whole. We show that the expected benefits associated with individual projects cannot simply be extrapolated across groups of projects in an additive manner. The evaluation of different groups of projects appears to require a permutation-based approach where sequencing is critically important. Our results illustrate the highly dynamic and spatially complex nature of transportation roadway networks, individual routing choices, and the need for performance metrics and evaluation tools that address these complexities.
- Novak, D. C.; zz-Hodgdon, C. D.; Aultman-Hall, L. - "Nationwide Freight Generation Models: A Spatial Regression Approach" (Refereed)
- Networks and Spatial Economics
- 2011 - v. 11, no. 1, pp. 23-42
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Abstract: This paper investigates the application of linear regression models and modeling techniques in predicting freight generation at the national level within the U.S. Specifically, the paper seeks to improve the performance and fit of linear regression models of freight generation. We provide insight into different variable transformation techniques, evaluate the use of spatial regression variables, and apply a spatial regression modeling methodology to correct for spatial autocorrelation. We conclude that the spatial regression model is the preferred specification for freight generation at the national level. The proliferation of Geographic Information Systems (GIS) within planning agencies affords more widespread ease of use of spatial regression and our results indicate this technique would provide improvement to models that have been traditionally limited by insufficient data.
- zz-Kraushaar, J. M.; Novak, D. C. - "Examining the Affects of Student Multitasking with Laptops During the Lecture" (Refereed)
- Journal of Information Systems Education
- 2010 - v. 21, no. 2, pp. 241-251
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Abstract: This paper examines undergraduate student use of laptop computers during a lecture-style class that includes substantial problem-solving activities and graphic-based content. The study includes both a self-reported use component collected from student surveys as well as a monitored use component collected via activity monitoring "spyware" installed on student laptops. We categorize multitasking activities into productive (course-related) versus distractive (non course-related) tasks. Quantifiable measures of software multitasking behavior are introduced to measure the frequency of student multitasking, the duration of student multitasking, and the extent to which students engage in distractive versus productive tasks.
We find that students engage in substantial multitasking behavior with their laptops and have non course-related software applications open and active about 42% of the time. There is a statistically significant inverse relationship between the ratio of distractive versus productive multitasking behavior during lectures and academic performance. We also observe that students under state the frequency of email and instant messaging (IM) use in the classroom when self-reporting on their laptop usage.
- Sullivan, J. L.; Novak, D. C.; Aultman-Hall, L.; Scott, D. M. - "Identifying Critical Road Segments and Measuring System-Wide Robustness in Transportation Networks with Isolating Links: A Link-Based Capacity-Reduction Approach" (Refereed)
- Transportation Research Part A: Policy and Practice
- 2010 - v. 44, no. 5, pp. 323-336
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Abstract: A wide range of relatively short-term disruptive events such as partial flooding, visibility reductions, traction hazards due to weather, and pavement deterioration occur on transportation networks on a daily basis. Despite being relatively minor when compared to catastrophes, these events still have profound impacts on traffic flow. To date there has been very little distinction drawn between different types of network-disruption studies and how the methodological approaches used in those studies differ depending on the specific research objectives and on the disruption scenarios being modeled. In this paper, the authors advance a methodological approach that employs different link-based capacity-disruption values for identifying and ranking the most critical links and quantifying network robustness in a transportation network. The authors demonstrate how an ideal capacity-disruption range can be objectively determined for a particular network and introduce a scalable system-wide performance measure, called the Network Trip Robustness (NTR) that can be used to directly compare networks of different sizes, topologies, and connectivity levels. The authors approach yields results that are independent of the degree of connectivity and can be used to evaluate robustness on networks with isolating links. The authors show that system-wide travel-times and the rank-ordering of the most critical links in a network can vary dramatically based on both the capacity-disruption level and on the overall connectivity of the network. The authors further show that the relationships between network robustness, the capacity-disruption level used for modeling, and network connectivity are non-linear and not necessarily intuitive. The authors discuss our findings with respect to Braess' Paradox.
- Novak, D. C. - "Internet Access and Capacity Planning: Quantifying Relationships between Usage, Capacity, and Blocking" (Refereed)
- Telecommunications Policy
- 2010 - v. 34, no. 5-6, pp. 309-322
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Abstract: The blocking probability is a commonly used performance metric in evaluating admission control for many types of connection-oriented communications technologies and services. It is particularly relevant in the context of dial-up network access. Currently, dial-up Internet Service Providers (ISPs) employ no minimum blocking standards. This raises questions regarding how ISPs manage capacity and how they evaluate service with respect to access. The User-to-Modem Ratio (UMR) is often used as a surrogate measure for service in terms of access. However, no direct linkage between the UMR and blocking is identified. This paper evaluates dial-up service from a capacity management perspective. A simulation model is constructed to estimate blocking for different usage scenarios. A generic performance model is fit using linear regression to quantify relationships between independent variables and blocking. The results provide interesting management implications and the model can be applied to other connection-based technologies including wireless.
- Sullivan, J. L.; Aultman-Hall, L.; Novak, D. C. - "A Review of Current Practice in Network Disruption Analysis and an Assessment of the Ability to Account for Isolating Links in Transportation Networks" (Refereed)
- Transportation Letters: The International Journal of Transportation Research /J. Ross Publishing
- 2009 - v. 1, no. 4, pp. 271-280
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Abstract: This paper presents a comprehensive review of the scholarly literature related to the field of network-disruption analysis. Research related to network disruption has progressed immensely since the late 1990s and now includes a wide variety of themes and approaches used to assess to the impacts associated with a variety of disruptive events. Of particular relevance are those approaches which use repetitive link and/or node-removal methodologies to develop measures of network robustness or vulnerability (complementary concepts). More recently, various methods have begun to focus on the sequential application of equilibrium-based traffic assignments to measure the cost of a disruption to the network. It is crucial for these types of methods to handle the complexities of real-world transportation networks - one of which is the presence of isolating links in a network, which provide a single route to a particular region or subnetwork. A number of methods have attempted to deal with the problem of isolating links in different ways, but none has been ubiquitously successful. To develop a comprehensive and useful measure of transportation network robustness it is important to successfully address the issue of isolating network links.
Keywords: Transportation Network Modeling, Network Robustness, Network Reliability, Network Disruption, Link Disruption, Isolating links
- Novak, D. C. - "Managing Bandwidth Allocations Between Competing Recreational and Non-Recreational Traffic on Campus Networks" (Refereed)
- Decision Support Systems
- 2008 - v. 45, no. 2, pp. 338-353
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Abstract: Network performance is a serious concern faced by many campus network managers across the country. As demand for entertainment-based Peer-to-Peer (P2P) applications that involve the transfer of large audio and video files continues to grow, managers are faced with the increasingly difficult task of determining how much bandwidth should be allocated to these applications. Unrestricted P2P traffic has the potential to monopolize bandwidth and severely degrade network performance. University IT managers are placed in a particularly difficult position, because they must juggle demands for non-recreational traffic without severely restricting recreational use of the network. This paper discusses a solution for optimizing bandwidth allocations on a campus gateway Internet link.
- Nair, S.; Novak, D. C. - "A Traffic Shaping Model for Optimizing Network Operations" (Refereed)
- European Journal of Operational Research
- 2007 - v. 180, no. 3, pp. 1358-1380
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Abstract: The management of technology in multi-service computer networks, such as university networks, has become a challenge with the explosive growth of entertainment oriented peer-to-peer (P2P) traffic. Traffic shaping is one of the tools used to manage bandwidth to improve system performance by allocating bandwidth between P2P and non-peer-to-peer (NP2P) traffic. We present a model for traffic shaping and bandwidth management that considers the trade-offs from allocating different amounts of bandwidths for different application categories and use data from a university network. The current policy allocates varying bandwidths over the day to P2P and NP2P traffic to reflect the importance of not letting entertainment based traffic choke the network during the day time at the expense of the more important traffic, such as Web traffic. We highlight the difficulties in obtaining data in the form required for analysis, and the need to estimate demand for allocations not covered by current policy. We present a goal programming model for this estimation task. We also model the traffic shaping problem as a Markov decision process and develop an algorithm for determining the optimal bandwidth allocation to maximize the utility of all users. Finally we use a numerical example to illustrate our approach.
- Scott, D.; Novak, D. C.; Aultman-Hall, L.; Guo, F. - "Network Robustness Index: A New Method For Identifying Critical Links and Evaluating the Performance of Transportation Networks" (Refereed)
- Journal of Transport Geography
- 2006 - v. 14, no. 3, pp. 215-227
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Abstract: Highway planning efforts, especially those involving capacity expansions, have traditionally relied on the volume/capacity (V/C) ratio to identify "highly congested" or critical links, resulting in localized solutions that do not consider system-wide impacts. This paper presents a new, comprehensive, system-wide approach to identifying critical links and evaluating network performance. The approach considers network flows, link capacity and network topology. Moreover, it relies on readily available sources of data. Using three hypothetical networks, we demonstrate that the approach, known as the Network Robustness Index, yields different highway planning solutions than the traditional V/C ratio. Moreover, these solutions yield far greater system-wide benefits, as measured by travel-time savings, than solutions identified by the V/C ratio.
- Novak, D. C.; Ragsdale, C. - "A Decision Support Methodology for Stochastic Multi-Criteria Linear Programming Using Spreadsheets" (Refereed)
- Decision Support Systems
- 2003 - v. 36, no. 1, pp. 99-116
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Abstract: In recent years, tools for solving optimization problems have become widely available through the integration of optimization software (or solvers) with all major spreadsheet packages. These solvers are highly effective on traditional linear programming (LP) problems with known, deterministic parameters. However, thoughtful analysts may rightly question the quality and robustness of optimal solutions to problems where point estimates are substituted for model parameters that are stochastic in nature. Additionally, while many LP problems implicitly involve multiple objectives, current spreadsheet solvers provide no convenient facility for dealing with more than one objective. This paper introduces a decision support methodology for identifying robust solutions to LP problems involving stochastic parameters and multiple criteria using spreadsheets.
- Novak, D. C.; Rowland, D.; DaSilva, L. - "Modeling Dialup Internet Access: An Examination of User-to-Modem Ratios, Blocking Probability, and Capacity Planning in a Modem Pool" (Refereed)
- Computers & Operations Research
- 2003 - v. 30, no. 13, pp. 1959-1976
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Abstract: In the near future, dialup connections will remain as one ofthe most popular methods ofremote access to the Internet as well as to enterprise networks. The dimensioning ofmodem pools to support this type of access is of particular importance to commercial Internet service providers as well as to universities that maintain their own modem pools to support access by faculty, staff, and students. The primary contribution of this paper is to analyze how network administrators may decrease the probability of blocking for access to the pool by imposing session limits restricting the maximum duration ofthe online session. Session limits may provide a viable alternative to improving network performance without necessarily adding capacity to the pool. Blocking probability is examined under a number ofdifferent scenarios to assess potential improvements in the quality of service by imposing session limitations during peak-period operations.
Conference Proceeding
- zz-Kraushaar, J. M.; Chittenden, T. I.; Novak, D. C. - "A Descriptive Study of Perceived and Actual Tablet PC Use by Undergraduate Students in a Traditional Lecture-based Graphical Modeling Class" (Refereed)
- The Impact of Tablet PCs and Pen-based Technology on Education, Purdue University Press
- 2008 - v. 2008, pp. 81-88
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Abstract: Currently, there is substantial debate nationwide with respect to the value of Tablet/laptop usage in higher education classrooms. Some lecturers feel very strongly that students are easily distracted by technology and Tablets/laptops facilitate goofing around in the classroom by creating an environment where students are physically present, but mentally absent. On the other hand, there are lecturers who feel very strongly that technology usage in the classroom is critical in explaining certain topics and that Tablets/laptops are tools that modern day students must become comfortable with using in a productive manner. Faculty suspect some students might be using the technology in ways that detract from the learning process. Many universities require students to purchase Tablets/laptops while at the same time more faculty feel strongly enough to ban them from their lectures. This study investigates undergraduate students' self-reportedreported and actual use of Tablets/laptops during lecture-style classes with significant graphic-based content.
- zz-Kraushaar, J. M.; Chittenden, T. I.; Novak, D. C.; Chittenden, N. B. - "A Preliminary Profile of Student Tablet Use During the Lecture"
- 2007 EDUCAUSE Southeast Regional Conference
- 2007 - v. Web Page,
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Abstract: What are the students really doing with their laptops during your lecture? We describe both the actual and self-reported use of student laptop and tablet PCs during the lecture for a year-long pilot study with three courses, seven sections, two faculty, and 200 students during the Fall 06/Spring 07 semesters. Proceedings (power point presentation and podcast interview) of this available at http://connect.educause.edu/library/abstract/APreliminaryProfileo/44612. Full conference proceedings available at http://www.educause.edu/content.asp?page_id=12288&bhcp=1
- Novak, D. C.; Kitchin, P. - "An Automated Statistical Quality Control Process for Internet Service Providers"
- Annual Meeting of the Southeast Decision Sciences Institute (SEDSI)
- 2004
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Abstract: While the use of statistical quality control (SQC) techniques are very common in manufacturing, they do not appear to be widely used for evaluating and improving the performance of networking hardware for dialup Internet service. This paper discusses the development of an automated SQC process for a large university dialup Internet Service Provider (ISP). In this paper critical network performance variables are identified, underlying distributional assumptions and the variable transformation process is described, and the statistical procedures used to establish performance baselines and identify out of control processes are presented. The paper is based on an actual quality improvement project currently being deployed at Virginia Tech.
- Novak, D. C.; Chang, S. J.; Nair, S. K. - "Setting Optimal Bandwidth Controls for Peer-to-Peer Traffic on Campus Networks" (Refereed)
- Annual Meeting of the Northeast Decision Sciences Institute (NEDSI)
- 2003
- Novak, D. C.; Rakes, T. - "A Characterization of Online Modem Pool Traffic" (Refereed)
- National Decision Sciences Institute meeting
- 2001
- Novak, D. C.; DaSilva, L.; Rowland, D. - "Modem Pool Simulation and Performance Analysis" (Refereed)
- Society for Computer Simulation Symposium for Performance Evaluation of Computer and Telecommunications Systems (SPECTS)
- 2000
[Show/Hide Abstract]
Abstract: In the near future, dial-up connections will still be one of the most popular methods of remote access to the Internet as well as to enterprise networks. The dimensioning of modem pools to support this type of access is of particular
importance to commercial Internet service providers (ISPs)as well as to universities that maintain their own modem pools to support access by faculty, staff, and students. The
primary contribution of this paper is to analyze how network administrators may decrease the probability of blocking for access to the pool by imposing business rules restricting the maximum duration of the on-line session.
- Novak, D. C. - "A Methodology for Solving Stochastic Programming Problems Using Microsoft's Excel"
- Annual Meeting of the Southeast Institute for Ops. Res. & the Mgmt Sciences (INFORMS)
- 1999 - pp. First Place in the Student Paper Competition
Technical Report
- Sullivan, J.; Novak, D. C.; Aultman-Hall, L. - (Forthcoming) "Identifying Network Representation Issues with the Network Trip Robustness" (Refereed)
- Transportation Research Board
- 2012 - no. TRC Report #12-004, pp. 18 pages
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Abstract: This study evaluates the effects of road-network representation on the application of the Network Robustness Index (NRI), using the Chittenden County Regional Transportation Model. The focus of this study was the tendency for minor and local roads to provide significant robustness gains as they offer critical alternative routes during disruption events. The overall conclusion of this report is that the application of the NRI and the Network Trip Robustness (NTR) can be used to identify these links, and test their significance. By examining the change in NTR that occurs when a previously omitted link is added to the network reveals its significance. In this study, a set of 23 links were identified qualitatively in Chittenden County which are currently not included in the region???s transportation model but may be significant. These 23 links were tested qualitatively and a total of 12 were found to be significant. Based on these findings, future applications of the regional model (CCMPO, 2008) should consider the influence of these links to overall network dynamics. If possible, these links should be included in the network representation for all analyses going forward. The results of this study also have general implications for travel demand models which are increasingly being used to help decision makers with a wide range of critical policy questions. Sophisticated models exist only for large urban areas, and often these models do not include secondary roads required to study relevant policy issues such as robustness and resiliency. Statewide models are often characterized by the use of very large Transportation Analysis Zones (TAZs) which can preclude effective evaluation of detailed road networks. The aggregation of links in a transportation network can have some unintended consequences. This study suggests it is timely to investigate ways of generating model networks that consider the full functional connectivity of the highway system.
- Novak, D. C.; Sullivan, J.; Aultman-Hall, L. - (Forthcoming) "Advanced Development and Calibration of the Network Robustness Index to Identify Critical Road Network Links" (Refereed)
- University of Vermont Transportation Research Center (TRC)
- 2010 - no. TRC Report #10-019,
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Abstract: In this report we test a reduced link capacity approach for addressing the problem of isolated sub-networks. The research expands on the methodology to select a specific capacity disruption value when modeling network robustness originally discussed in Sullivan et al., 2010.
- Sullivan, J.; Aultman-Hall, L.; Novak, D. C. - (Forthcoming) "Application of the Network Robustness Index to Identifying Critical Road-Network Links in Chittenden County, Vermont " (Refereed)
- Transportation Research Center
- 2010 - v. TRC#10-009, pp. 21 pages
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Abstract: The purpose of this project is to conduct a pilot application of the Network
Robustness Index (NRI) for the Chittenden County Regional Transportation Model.
Using the results, improvements to the method to increase its effectiveness for more
widespread use will be made.
This work is being performed under UVM Transportation Research Center (TRC)
???Signature Project 1H ??? Network Robustness Index: A Comprehensive Spatial-Based
Measure for Transportation Infrastructure Management???. Funding for this work
comes from the USDOT through the University Transportation Center (UTC) at the
University of Vermont.
Material Regarding New Courses/Curricula
- zz-Kraushaar, J. M.; Novak, D. C.; Chittenden, T. I. - "Curriculum Redesign of Junior/Senior Course: Management Information Systems"
- School of Business Administration
- 2006
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Abstract: To fully leverage the tablet functionality afforded us by having a majority of students with Tablet PC's, Dr. David Novak and Dr. James Kraushaar re-designed their course delivery of the required Junior/Senior core Management Information Systems course to leverage Tablet Functionality for all diagrammatic concepts taught in the class. This included concepts like Entity Relationship Diagrams (data-modeling), Data Flow Diagrams (process modeling), Systems Development Life Cycles, etc. Assignments related to these units were required to have been done in MS Journal and submitted electronically to further motivate student use of the pen functionality to learn the course concepts. Simultaneously, lecture delivery was re-vamped to leverage the Tablet PC pen functionality.
In addition to these Tablet PC oriented alterations, Drs. Kraushaar and Novak implemented a PC Skills Assessment at the beginning and end of the course to have a data point of digital literacy and technology comfort levels in analyzing student performance with and without the Tablet PCs used in the class. In addition to this assessment test, activity monitoring software was installed (with explicit permission) on student machines to track the actual student usage of the PC in class. Lastly, an expanded Mobile Computing Usage survey was conducted to get self-reported information from students about how they use their machines (both tablets and non-tablets) in an educational environment.
Personal web site.