Hyung Seok "David" Jeong
About the research
A significant amount of time and effort is invested to collect and document various field activity data of a highway project in Daily Work Report (DWR). Although there are many potential benefits of DWR data, the current use of the data is very limited. The objective of this study is to develop an ideal framework for an advanced DWR system to improve the DWR data collection and utilization practices. A literature review and two surveys were conducted to investigate the current practices of collecting DWR data, utilization of the data, and challenges associated with advanced collection and utilization of DWR data. The study found that there is a huge gap between the current and potential level of benefits of DWR data. The challenges for better collection and utilization of DWR data were identified and classified. An ideal framework for an advanced DWR system was developed to overcome those challenges. The ideal framework consists of seven major components: a) data attributes and its relations, b) integration with existing systems, c) visualization of data, d) advanced data collection systems, e) automation of DWR data analysis and reporting, f) human factors, and g) other technical aspects. The framework can be used by state DOTs to improve an existing DWR system or to develop a new system. The implementation of the framework is expected to improve the level of DWR data collection and utilization practices in state DOTs.