Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 30 results ...
Abdelaty, A F A (2017) Data-driven algorithms for enhanced transportation infrastructure asset management, Unpublished PhD Thesis, , Iowa State University.
Al Shalabi, F A (2016) BIM framework for energy and maintenance performance assessment for facility management, Unpublished PhD Thesis, , Iowa State University.
AlBughdadi, A J M (2022) Advanced decision support tools for bridge asset management, Unpublished PhD Thesis, , Iowa State University.
Azmy, N (2012) The role of team effectiveness in construction project teams and project performance, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Barbosa Resende, C (2021) Post-construction evaluation for work zones and construction engineers' training, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Barutha, P J (2018) Integrated project delivery for industrial projects, Unpublished PhD Thesis, , Iowa State University.
Canales Fernandez, A R (2004) Developing effective integration between American supervisors and hispanic craft workers in construction, Unpublished PhD Thesis, , Iowa State University.
Christensen, A N (2019) Identifying private construction project owner inefficiencies that affect project goals, Unpublished PhD Thesis, , Iowa State University.
El-adaway, I H (2008) Construction dispute mitigation through multi-agent based simulation and risk management modeling, Unpublished PhD Thesis, , Iowa State University.
Elmisalami, T E (2001) Developing a multi-attribute utility model (MAUM) for selecting information technologies in the construction industry, Unpublished PhD Thesis, , Iowa State University.
Enz, D L (2009) Construction project administration and management for mitigating work zone crashes and fatalities: An integrated risk management model, Unpublished PhD Thesis, , Iowa State University.
Gad, G M (2012) Effect of culture, risk, and trust on the selection of dispute resolution methods in international construction contracts, Unpublished PhD Thesis, , Iowa State University.
Gao, Z (2004) Investigation of technologies to improve the visualization of design documents and construction process, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Harmelink, D J (1995) Linear scheduling model: The development of a linear scheduling model with microcomputer applications for highway construction project control, Unpublished PhD Thesis, , Iowa State University.
Kaewmoracharoen, M (2009) Feasibility of visualization and simulation applications to improve work zone safety and mobility, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Kawal, D E (1970) A systems model of a construction firm, Unpublished PhD Thesis, , Iowa State University.
Lueth, P L O (2008) The architectural design studio as a learning environment: A qualitative exploration of architecture design student learning experiences in design studios from first- through fourth-year, Unpublished PhD Thesis, , Iowa State University.
Mahfouz, T S (2009) Construction legal support for differing site conditions (DSC) through statistical modeling and machine learning (ML), Unpublished PhD Thesis, , Iowa State University.
McCann, M (1986) An application of convex programming to construction scheduling, Unpublished PhD Thesis, Industrial and Manufacturing Systems Engineering, Iowa State University.
Mohd Zainudin, N (2019) Identification and analysis of worker safety hazards in Midwest agribusiness construction work sites, Unpublished PhD Thesis, Agricultural and Biosystems Engineering, Iowa State University.
Nahvi, A (2019) Integrated stochastic economics performance evaluation of horizontal infrastructure systems, Unpublished PhD Thesis, , Iowa State University.
Pinto Nunez, M D C (2017) Comprehensive partnering management model for highway construction projects delivered using traditional and alternative methods, Unpublished PhD Thesis, , Iowa State University.
Rahbar, F (1997) Computer-aided parametric planning (CAPP), Unpublished PhD Thesis, , Iowa State University.
Rueda-Benavides, J A (2016) Indefinite delivery/indefinite quantity project selection framework using stochastic techniques, Unpublished PhD Thesis, , Iowa State University.
Shrestha, K P (2016) Data analytics and visualization for enhanced highway construction cost indexes and as-built schedules, Unpublished PhD Thesis, , Iowa State University.
Sirotiak, T L (2008) The effect of problem/project-based learning on a desired skill set for construction professionals, Unpublished PhD Thesis, , Iowa State University.
Smadi, O G (2000) Knowledge-based expert system pavement management optimization, Unpublished PhD Thesis, , Iowa State University.
Talbot, J (2021) Understanding housing reconstruction in Puerto Rico after hurricanes Irma and Maria, Unpublished PhD Thesis, , Iowa State University.
Tapia, R M (2017) Linear scheduling and procurement tools to manage geotechnical risk in design-build construction projects, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Woldesenbet, A (2014) Highway infrastructure data and information integration & assessment framework: a data-driven decision-making approach, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
- Type: Thesis
- Keywords: benchmarking; data integration; decision-making; highway infrastructure; infrastructure project; integration; inventory; investment; life cycle; pavement; performance; case study; social network analysis
- ISBN/ISSN:
- URL: https://dr.lib.iastate.edu/handle/20.500.12876/28204
- Abstract:
State highway agencies invest a large amount of resources in collecting, storing and managing various types of data ranging from roadway inventory to pavement condition data during the life cycle of a highway infrastructure project. Despite this huge investment, the current level of data use is limited and is raising concerns whether the growing amount of data adds value to users and offers meaningful return on data collection efforts. This study presents a holistic approach that can systematically integrate and bridge data with information and decisions through incorporation of a unique and proactive performance assessment technique to improve the utilization of a growing amount of data in transportation agencies. With a focus on enhancing the active utilization of data and measuring level of data use, this research delivers i) Integrated Data Quality Assessment Framework ii) Three-tiered Hierarchical Data-Information-Decision-making Framework and iii) Highway Infrastructure Data Integration (HIDI) index, new data and information performance assessment tool. The study presents an integrated requirement analysis to identify the satisfaction level of various highway decision-makers in current data use and determine the quality requirements of highway data in an integrated and objective manner through the application of fault tree analysis. A three-tiered hierarchical framework is presented to understand the relationship between data and information and identify their use in supporting highway infrastructure decision-making processes. As part of this framework, key players in decision-making processes are identified and quantified through the application of a social network theory. A new index called, HIDI is also developed to evaluate the status of data utilization that may serve as Highway Infrastructure Data Report Card and help justify the return on investment on the continuous and growing data collection efforts. This research study will allow agencies to interlink data, information and decisions and to develop active utilization plans of currently existing databases to place the right information in the hands of decision-makers. It will enhance the development of new data collection scheme and information generation plans to support key decisions that, historically, were not well-supported with information and data. The study uses pavement management data as a primary data set to illustrate the application of the framework and it also uses preconstruction service data as a case study and a validation data set. This new framework may be used as a benchmarking example for SHAs in the area of data and information integration to make effective and reliable decisions through data-driven insights.