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Abraham, D M (1990) A state-based framework using indicators for construction monitoring and evaluation, Unpublished PhD Thesis, , University of Maryland, College Park.
Ahrari, A (2012) A decision support system for dynamic integrated project scheduling and equipment operation planning, Unpublished PhD Thesis, , University of Maryland, College Park.
Akar, G (2009) Analysis of activity choice: The role of activity attributes and individual schedules, Unpublished PhD Thesis, , University of Maryland, College Park.
Al-Fadhala, M M (2002) Uncertainty-based condition assessment of existing concrete structures, Unpublished PhD Thesis, , University of Maryland, College Park.
Al-Wazeer, A A-R (2007) Risk-based bridge maintenance strategies, Unpublished PhD Thesis, , University of Maryland, College Park.
Avetisyan, H G (2013) Sustainable infrastructure modeling and policy analyses: Construction, energy and transportation industries, Unpublished PhD Thesis, , University of Maryland, College Park.
Bai, L (2013) RFID sensor-driven structural condition monitoring in integrated building information modeling environment, Unpublished PhD Thesis, , University of Maryland, College Park.
Bender, W J (2000) A risk-based cost control methodology for constructing complex structures with the mobile offshore base as a case study, Unpublished PhD Thesis, , University of Maryland, College Park.
Chelson, D E (2010) The effects of building information modeling on construction site productivity, Unpublished PhD Thesis, , University of Maryland, College Park.
Chen, C-H (2003) Integrated management of highway maintenance and traffic, Unpublished PhD Thesis, , University of Maryland, College Park.
Cheung, M (2017) The antecedents of safety leadership, Unpublished PhD Thesis, , University of Maryland, College Park.
Chung, B (2007) An analysis of success and failure factors for ERP systems in engineering and construction firms, Unpublished PhD Thesis, , University of Maryland, College Park.
Ding, Q (2018) Using social media to evaluate public acceptance of infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.
- Type: Thesis
- Keywords: measurement; infrastructure project; leadership; monitoring; project evaluation; risk assessment; United States; case study
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2078892080
- Abstract:
The deficit of infrastructure quality of the United States demands groundbreaking of more infrastructure projects. Despite the potential economic and social benefits brought by these projects, they could also negatively impact the community and the environment, which could in turn affect the implementation and operation of the projects. Therefore, measuring and monitoring public acceptance is critical to the success of infrastructure projects. However, current practices such as public hearings and opinion polls are slow and costly, hence are insufficient to provide satisfactory monitoring mechanism. Meanwhile, the development of state-of-the-art technologies such as social media and big data have provided people with unprecedented ways to express themselves. These platforms generate huge volumes of user-generated content, and have naturally become alternative sources of public opinion. This research proposes a framework and an analysis methodology to use big data from social media (e.g.the microblogging site Twitter) for project evaluation. The framework collects social media postings, analyzes public opinion towards infrastructure projects and builds multi-dimensional models around the big data. The interface and conceptual implementation of each component of the framework are discussed. This framework could be used as a supplement to traditional polls to provide a fast and cost-effective way for public opinion and project risk assessment. This research is followed by a case study applying the framework to a real-world infrastructure project to demonstrate the feasibility and comprehensiveness of the framework. The California High Speed Rail project is selected to be the object of study. It is an iconic and controversial large-scale infrastructure project that faced a lot of criticism, complaints and suggestions. Sentiment analysis, the most important type of analysis on the framework, is discussed concerning its application and implementation in the context of infrastructure projects. A public acceptance model for social media sentiment analysis is proposed and examined, and the best measurement of public acceptance is recommended. Moreover, the case study explores the driving force of the change in public acceptance: the social media events. Events are defined, evaluated, and an event influence quadrant is proposed to categorize and prioritize social media events. Furthermore, the individuals influencing the perceptions of these events, opinion leaders, are also modeled and identified. Three opinion leadership types are defined with top users in each type listed and discussed. A predictive model for opinion leader is also developed to identify opinion leaders using an a priori indicator. Finally, a user profiling model is established to describe social demographic characteristics of users, and each demographic feature is discussed in detail.
Eldukair, Z A R (1988) Safety assessment and optimization of construction operations based on fuzzy sets, Unpublished PhD Thesis, , University of Maryland, College Park.
Erfani, A (2023) Data-driven risk modeling for infrastructure projects using artificial intelligence techniques, Unpublished PhD Thesis, , University of Maryland, College Park.
Hao, J X (2007) Infrastructure investment and economic development, Unpublished PhD Thesis, , University of Maryland, College Park.
Hickey, P J (2023) A study of gender diversity in u.S. Architecture, engineering, and construction (AEC) industry leadership, Unpublished PhD Thesis, , University of Maryland, College Park.
Hsu, S-C (2013) A complexity-based approach to intra-organizational team selection, Unpublished PhD Thesis, , University of Maryland, College Park.
Hu, M (2022) Influence of project design team characteristics on construction cost of sustainable buildings, Unpublished PhD Thesis, , University of Maryland, College Park.
Ingraham, A T (2001) Bidder-auctioneer cheating in sealed-bid auctions, Unpublished PhD Thesis, , University of Maryland, College Park.
Jang, W S (2007) Embedded system for construction material tracking using combination of radio frequency and ultrasound signal, Unpublished PhD Thesis, , University of Maryland, College Park.
Karimi, S (2021) A systematic methodology for evaluating and balancing acceptance risks with pay factors for highway construction materials, Unpublished PhD Thesis, , University of Maryland, College Park.
Lessani, A (2016) Decision analysis in construction claims, Unpublished PhD Thesis, , University of Maryland, College Park.
Lu, R (2010) Impacts of local item dependence of testlet items with the multistage tests for pass-fail decisions, Unpublished PhD Thesis, , University of Maryland, College Park.
McCahill, D F (1990) A practical model for simulation of earthwork construction, with applications for scheduling, Unpublished PhD Thesis, , University of Maryland, College Park.
Mohieldin, Y A (1989) Analysis of construction processes with nonstationary work task durations, Unpublished PhD Thesis, , University of Maryland, College Park.
Moore, W B (1989) Modeling the impact of large construction projects on surrounding communities, Unpublished PhD Thesis, , University of Maryland, College Park.
Neely, L E (2017) Project scheduling disputes: Expert characterization and estimate aggregation, Unpublished PhD Thesis, , University of Maryland, College Park.
Negahban, S (2008) Utilization of enterprise resource planning tools by small to medium size construction organizations: A decision-making model, Unpublished PhD Thesis, , University of Maryland, College Park.
Nyakaana Blair, A M A (1999) Risk analysis of cost and schedule of complex engineering systems, Unpublished PhD Thesis, , University of Maryland, College Park.
Ordonez Arizaga, J F (2007) A methodology for project risk analysis using Bayesian belief networks within a Monte Carlo simulation environment, Unpublished PhD Thesis, , University of Maryland, College Park.
Owoyemi, J A (2018) Performance evaluation of higway transportation design-build project delivery: A case study, Unpublished PhD Thesis, , University of Maryland, College Park.
Parvan, K (2012) Estimating the impact of building information modeling (BIM) utilization on building project performance, Unpublished PhD Thesis, , University of Maryland, College Park.
Quadri, H A (2019) Value engineering decisioneering: A risk management tool in the project management office- case study of electricity distribution companies in Nigeria, Unpublished PhD Thesis, , University of Maryland, College Park.
Salgado, C A (2005) Construction project organizational structuring, Unpublished PhD Thesis, , University of Maryland, College Park.
Shafahi, A (2016) Mathematical model and framework for multi-phase project optimization, Unpublished PhD Thesis, , University of Maryland, College Park.
Sharma, D K (2012) Design of availabilty payment mechanism for public private partnerships, Unpublished PhD Thesis, , University of Maryland, College Park.
Sundararajan, S K (2004) Project performance-based optimal capital structure for privately financed infrastructure projects, Unpublished PhD Thesis, , University of Maryland, College Park.
Tatari, M O (2009) Empirical analysis of construction enterprise information systems: Assessing the critical factors and benefits, Unpublished PhD Thesis, , University of Maryland, College Park.
Vecino, G A (2016) The feasibility of using web-based technology for the management of dredging projects, Unpublished PhD Thesis, , University of Maryland, College Park.
Yang, N (2010) Optimization of highway work zone decisions considering short-term and long-term impacts, Unpublished PhD Thesis, , University of Maryland, College Park.
Zeng, Y (2010) Risk management for enterprise resource planning system implementations in project-based firms, Unpublished PhD Thesis, , University of Maryland, College Park.
Zhao, Y (2023) Sustainability, acceptance risk analysis and machine learning in assessing mechanical properties and the impact of highway materials in transportation infrastructure, Unpublished PhD Thesis, , University of Maryland, College Park.