Effects of Flexible Notice-to-Proceed Provisions on the Performance of Transportation Infrastructure Projects

When alternative contracting techniques are considered, one innovative approach for assuring the performance of a transportation infrastructure project is offering contractors flexibility about when they start the project. Although such flexible notice-to-proceed (NTP) provisions are becoming more common, quantitative studies examining their impact on project performance are nonexistent. This study investigates the likely effects of flexible NTP provisions on competitive bidding, bid prices, and contract time. A dataset gathered from the North Carolina Department of Transportation, United States, was carefully stratified by type and size of project to allow for unbiased analysis. The results from the hypothesis testing revealed that projects with flexible NTP provisions were more competitive in relation to bidding. The results also indicated a positive correlation between the length of flexible time window and award growth. This study is the first of its kind and will help state transportation agencies make better-informed decisions by providing a point of reference when adopting NTP provisions for alternative contracting projects.

Development of North Carolina Department of Transportation’s CLEAR Program for Enhanced Project Performance

Valuable lessons learned and best practices gleaned from construction projects often do not transfer to future generations because of the lack of a formalized process. This ongoing issue gives rise to the need to impart fresh training to new North Carolina Department of Transportation (NCDOT) employees once the aging workforce retires or in the event of turnover. In addition, a platform for personnel to record pertinent project information about successes and failures in projects is needed. Such information can help solve problems and avoid repeated mistakes. The aim of this research project is to create a new program called Communicate Lessons, Exchange Advice, Record (CLEAR) to reposit knowledge gained by personnel. Integral to this program is an internal-only web-based database on NCDOT’s Connect SharePoint portal with MS Access as its backend. The North Carolina State University researchers used a Design for Six Sigma approach to identify, define, develop, optimize, and verify lessons learned/best practices to create the CLEAR database. The database fields were selected based on end-user input as well as a review of existing data, such as claims and supplemental agreements, within NCDOT data repositories. Training materials, including videos and standard operating procedures, were created to disseminate information about this new program. The CLEAR program will help the NCDOT to institutionalize knowledge and is expected to improve project cost variability and scheduling.

Pitfalls and Potholes: Examining the Impacts of Covid-19 on the North Carolina Department of Transportation

Covid-19 has had devasting impacts across society and government worldwide in a span of a few short months. The disruption has been nothing short of catastrophic to the public and private sectors across the country and the responses have run the gamut. This commentary discusses the unique impacts of the global pandemic on public works and transportation at the state and local level through the lens of intergovernmental agreements and public private partnerships in the state of North Carolina. The North Carolina Department of Transportation (NCDOT) has realized budget deficits the previous two fiscal years with a significant projected deficit for the current fiscal year; however, NCDOT was not blind to a future of instability. Policy implications are clear: changes must be considered that reduce the likelihood of significant budget shortfalls and reasonable measures taken to provide practicable levels of service throughout public works.

Building for the future: the creation of a residency training track to foster innovation through clinical informatics in psychiatry

Early clinical informatics (CI) education provides an introduction to CI methodologies for resident physicians to apply within their boarded specialties. A specialty notably absent from the effort to train residents in CI is psychiatry. We present a novel means of integrating CI exposure into a structured educational track within a psychiatry residency training program. The clinical informatics track at the University of North Carolina Department of Psychiatry is a 3-year, longitudinal experience open to residents starting in postgraduate year 2. To our knowledge, this is the first track of its kind within a psychiatry residency training program.

Flood Flow Frequency Analysis to Estimate Potential Floodplain Nitrogen Treatment during Overbank Flow Events in Urban Stream Restoration Projects

Stream restoration for mitigation purposes has grown rapidly since the 1980s. As the science advances, some organizations (Chesapeake Bay Program, North Carolina Department of Environmental Quality) have approved or are considering providing nutrient credits for stream restoration projects. Nutrient treatment on floodplains during overbank events is one of the least understood processes that have been considered as part of the Chesapeake Bay Program’s Stream Restoration Nutrient Crediting program. This study analyzed ten years of streamflow and water quality data from five stations in the Piedmont of North Carolina to evaluate proposed procedures for estimating nitrogen removal on the floodplain during overbank flow events. The volume of floodplain flow, the volume of floodplain flow potentially treated, and the nitrogen load retained on the floodplain were calculated for each overbank event, and a sensitivity analysis was completed. On average, 9% to 15% of the total annual streamflow volume accessed the floodplain. The percentage of the average annual volume of streamflow potentially treated ranged from 1.0% to 5.1%. Annually, this equates to 0.2% to 1.0% of the total N load retained/removed on the floodplain following restoration. The relatively low nitrogen retention/removal rates were due to a majority of floodplain flow occurring during a few large events each year that exceeded the treatment capacity of the floodplain. On an annual basis, 90% of total floodplain flow occurred during half of all overbank events and 50% of total floodplain flow occurred during two to three events each year. Findings suggest that evaluating only overbank events may lead to undervaluing stream restoration because treatment is limited by hydrologic controls that restrict floodplain retention time. Treatment is further governed by floodplain and channel size.

Design For Six Sigma (DFSS) Approach for Creating CLEAR Lessons Learned Database

Project personnel working in construction sites fail to transfer invaluable experiences gained mostly due to the absence of a formalized process to record such information. Construction projects are seldom repetitive in nature and this highlights the need for organizations to have in place robust data repositories to facilitate knowledge sharing. This paper describes an effort in creating a new internal-only web-based lessons learned database named Communicate Lessons, Exchange Advice, Record (CLEAR) for the North Carolina Department of Transportation (NCDOT). A Design For Six Sigma (DFSS) approach of Identify, Define, Develop, Optimize, and Verify (IDDOV) model was used. Findings from this study will help NCDOT to institutionalize knowledge and improve project cost variations and schedule predictability. In conjunction with this database, a data dashboard is envisioned to provide effective visualizations for the upper management to make informed decisions based on the lessons information in the database. The dashboard will include success metrics such as detecting reduced numbers of claims and claims amounts, witnessing periodical increase in lessons uploaded into the database, and enhanced communication among specialized staff. This approach is a significant contribution to the existing body of knowledge in lessons learned database implementation for construction applications. The anticipated outcome of this new application will be a more efficient and effective public organization through reduced claims, improved designs, and construction workflows, and improved policies and standards. Future researchers can make use of information presented in this paper to build new robust lessons learned systems to improve organizational efficiency.

Surveying for Potential Diseases and Abiotic Disorders of Industrial Hemp (Cannabis sativa) Production

Industrial hemp (Cannabis sativa L.) has recently been reintroduced as an agricultural commodity in the United States, and, through state-led pilot programs, growers and researchers have been investigating production strategies. Diseases and disorders of industrial hemp in the United States are largely unknowns because record-keeping and taxonomy have improved dramatically in the last several decades. In 2016, North Carolina launched a pilot program to investigate industrial hemp, and diseases and abiotic disorders were surveyed in 2017 and 2018. Producers, consultants, and agricultural extension agents submitted samples to the North Carolina Department of Agriculture and Consumer Services Agronomic Services Division (n = 572) and the North Carolina Plant Disease and Insect Clinic (n = 117). Common field diseases found included Fusarium foliar and flower blights (Fusarium graminearum), Fusarium wilt (Fusarium oxysporum), and Helminthosporium leaf spot (Exserohilum rostratum). Greenhouse diseases were primarily caused by Pythium spp. and Botrytis cinerea. Common environmental disorders were attributed to excessive rainfall flooding roots and poor root development of transplanted clones.

Distribution of Meloidogyne enterolobii in Eastern North Carolina and Comparison of Four Isolates

The guava root-knot nematode (RKN), Meloidogyne enterolobii, is a particularly aggressive pathogen with limited known distribution in the United States. In 2011, M. enterolobii was identified on field crops in North Carolina for the first time. In collaboration with the North Carolina Department of Agriculture and Consumer Services Nematode Assay Laboratory, RKN-positive samples from the eastern half of North Carolina submitted to the laboratory were analyzed for Meloidogyne species identification using polymerase chain reaction (PCR) of individual nematodes. PCR primers specific for Meloidogyne incognita, M. javanica, M. arenaria, M. hapla, and M. enterolobii were used to analyze DNA from 203 RKN-positive samples representing a variety of field and vegetable crops grown in counties in the eastern half of North Carolina. M. incognita was the predominant species identified (32% of samples), and M. enterolobii was identified in 6% of samples including ones from sweetpotato, tobacco, and soybean crops. New detections of M. enterolobii were found in Nash, Greene, Sampson, and Harnett counties in addition to the previously identified locations in Johnston, Wayne, Columbus, and Wilson counties. Four isolates of M. enterolobii populations were collected from soybean and sweetpotato crops in Johnston, Greene, and Wilson counties and reared on ‘Rutgers’ tomato plants in the greenhouse. Potential differences in virulence among the four M. enterolobii populations were not detected in greenhouse infection assays on six selected resistant and susceptible sweetpotato genotypes in two independent tests.

What Level of Tourism Traffic Should be planned for in North Carolina’s Major Tourism Areas

Aims: The purpose of this research is to provide the North Carolina Department of Transportation (NCDOT) with an execution strategy for using traffic counts in high tourism areas to aid in the development of Comprehensive Transportation Plans (CTPs). Due to the high variability of traffic counts in these localities, it is arbitrary to apply the typical weekday traffic count as the reference metric for developing the CTPs for these areas. Methods: A literature review and assessment of best practices, forecasting models, and implementation strategies are provided. The first and primary recommendation with respect to Average Annual Daily Traffic (AADT) calculations and planning is to incorporate peak-usage and directionality; whether it be hourly or monthly. Urban areas will have AADT values similar to the design value. However, seasonal areas, such as tourist locations, will have significant differences between the design value and the AADT. Results: While other states (notably Nevada and Florida) have incorporated peak-hour usage ratios into their planning forecasts, the recommendation in this report suggests using an average of the two busiest months (as shown in the case studies) when peak-hour usage rates are unknown. Conclusion: The primary recommendations should be addressed tactically (i.e., 3-5 years), and phased-in as resources are available. Other recommendations should be addressed strategically (i.e., 5-10 years), and phased-in as resources are available. Future work, including simulation modeling could be completed to test different levels of funding and to compare different approaches.