Determining Average Available Workdays for Roadway Construction Projects Using Long-Term Weather Data—A Case Study for Alabama

Construction project durations specified on contracts are influenced by adverse weather conditions such as rainfall and low temperatures. This study aimed to develop an efficient method for determining monthly Average Available Workdays (AAWDs) for roadway construction projects using historical long-term (ten years or more) local weather data. A survey was conducted to understand the status of current practices using weather information for contract time determination by transportation agencies. Excel spreadsheet tools with Visual Basic for Applications (VBA) programs were developed to process the downloaded long-term weather data with two different formats. Instead of manually processing the short-term (e.g., one–three years) weather data, VBA programs efficiently count for weekends, legal holidays, and adverse weather days as non-workdays each month over the years with weather data (>10 years) and then determine the monthly available workdays (AWDs) and AAWDs. This method was verified using daily records from five completed roadway construction projects. Many contractor-claimed non-workdays due to other factors, not weather-related, that contributed to substantially longer project duration affect the comparison of AWDs determined from nearby weather stations using the developed VBA tools. The method and VBA tools developed were applied to 88 weather stations (10–122 years, average 42 years of data) to determine AAWDs in Alabama, USA, as a case study. Monthly AAWDs in Alabama were grouped into three climate zones: North Region, Central Regions, and South Regions with 185, 193, and 200 AAWDs per year, respectively, with more workdays (17–19 days) in warmer months and fewer (9–11 days) in colder months. The determined AAWDs help both DOTs and construction contractors determine/propose reasonable construction project durations and resolve the construction delay issues. The method and VBA tools can be revised/updated by other DOTs and construction companies for different definitions and thresholds on non-workdays and then efficiently determine AWDs and AAWDs using long-term local weather data.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-04-28
DOI
https://doi.org/10.3390/buildings15091489
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining Average Available Workdays for Roadway Construction Projects Using Long-Term Weather Data—A Case Study for Alabama

Eduardo Reyes, Xing Fang, Michael A. Perez
1 citations
Buildings
BIM and Construction Integration
1.01
article

Determining Average Available Workdays for Roadway Construction Projects Using Long-Term Weather Data—A Case Study for Alabama

Eduardo Reyes, Xing Fang, Michael A. Perez
article en
1 citations

Abstract

Construction project durations specified on contracts are influenced by adverse weather conditions such as rainfall and low temperatures. This study aimed to develop an efficient method for determining monthly Average Available Workdays (AAWDs) for roadway construction projects using historical long-term (ten years or more) local weather data. A survey was conducted to understand the status of current practices using weather information for contract time determination by transportation agencies. Excel spreadsheet tools with Visual Basic for Applications (VBA) programs were developed to process the downloaded long-term weather data with two different formats. Instead of manually processing the short-term (e.g., one–three years) weather data, VBA programs efficiently count for weekends, legal holidays, and adverse weather days as non-workdays each month over the years with weather data (>10 years) and then determine the monthly available workdays (AWDs) and AAWDs. This method was verified using daily records from five completed roadway construction projects. Many contractor-claimed non-workdays due to other factors, not weather-related, that contributed to substantially longer project duration affect the comparison of AWDs determined from nearby weather stations using the developed VBA tools. The method and VBA tools developed were applied to 88 weather stations (10–122 years, average 42 years of data) to determine AAWDs in Alabama, USA, as a case study. Monthly AAWDs in Alabama were grouped into three climate zones: North Region, Central Regions, and South Regions with 185, 193, and 200 AAWDs per year, respectively, with more workdays (17–19 days) in warmer months and fewer (9–11 days) in colder months. The determined AAWDs help both DOTs and construction contractors determine/propose reasonable construction project durations and resolve the construction delay issues. The method and VBA tools can be revised/updated by other DOTs and construction companies for different definitions and thresholds on non-workdays and then efficiently determine AWDs and AAWDs using long-term local weather data.

BuildingsVol. 15(9)
Auburn University (US)
U.S. Department of Transportation, Auburn University, Alabama Department of Transportation
Openalex Percentile: Top 26%
BIM and Construction Integration
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.