Zuniga-Garcia, N; Machemehl, R B; Khwaja, N A; Pruner, K D and Fu, M (2021) Estimation of road user costs for work zones in data-limited or time-constrained environments. Journal of Construction Engineering and Management, 147(3): 04020182, ISSN 0733-9364
Abstract
This paper considers the problem of estimating road user costs (RUCs), such as travel time and delays, for roadway construction projects under time and data limitations. RUCs measure the mobility impacts of construction work zones on public roads. RUC metrics are typically used in construction phases to determine the project's incentives and disincentives. However, determining RUC can be challenging due to scarce traffic data availability, incomplete construction plans, and limited time to conduct analysis. In this paper, we use traffic microsimulation to estimate the RUC for each hour of a typical 24-h day using 11 construction cases in Dallas, Texas. Our primary contribution includes developing relationships between peak-hour RUC measures with respect to the total daily values. Such relationships would allow an estimation of the full day RUC based only on the analysis of the peak hour. The main results suggest that the peak-hour travel time as a fraction of the daily value is, on average, 8.2%, comparable to typical percentages of the peak-hour traffic volumes. Furthermore, the models for predictive relationships using construction scenario demand and capacity show high correlation coefficients, presenting a potential for the development of such relationships for roadway construction projects.
| Item Type: | Article |
|---|---|
| Index terms: | estimation, mobility, estimate, construction phase, construction work, estimating, construction project |
| Subjects: | financial and cost management, project delivery, operations management, infrastructure and transport systems, production management |
| Topics: | Cost Management, Project Management, Urban Studies |
| Descriptive scope: | 2 PC |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here