Lee, J S (2005) Developing spatio-temporal models for retrofit and reconstruction strategy under unscheduled events. PhD thesis, University of Illinois at Urbana-Champaign, USA.
Abstract
This dissertation consists of three papers. The purpose of the first paper is to design conceptually (1) a spatio-temporal data model for analyzing dynamically changing longer term spatial problems, and (2) Spatio-Temporal Analysis Models (STAM) for analyzing network economic loss due to unscheduled events such as earthquake, flood, terrorism, etc. The first part of this paper examines existing spatio-temporal data models and concludes that a feature-based spatio-temporal data model utilizing an object-oriented modeling technique is the most suitable. The second part of the paper proposes the two types of STAMs: (1) STAM for a priori unscheduled event (STAM-1) and (2) STAM for a posteriori unscheduled event (STAM-2) in order to overcome the following common issues: (1) lack of considering the national economic impact, (2) lack of integration between the traffic flow and commodity flow models, and (3) lack of considering the spatio-temporal characteristics of the economy. For these two models to have spatio-temporality, quarterly Sequential Interindustry Model (SIM) is utilized in both models. The second paper is about the implementation of spatio-temporal models for identifying critical network links for retrofit priority. Previous research focused on identification of critical network links for a given year employing static models. However, the results of the previous research do not accurately reflect the spatio-temporal characteristics of the economy. To overcome this issue, this research adopts STAM-1, and proposes an economic significance index to identify critical network links. The third paper is about the implementation of a spatio-temporal model to develop an infrastructure reconstruction strategy under unscheduled events. The reconstruction strategy chosen to repair damaged transportation network infrastructure after an unscheduled event is important to return the disrupted economy to pre-event status. Moreover, the strategy chosen determines how fast the national economy will recover. The optimal sequence or priority for reconstruction of damaged links needs to be developed in order to quickly restore the economy. This paper proposes and implements the framework for finding the optimal reconstruction strategy by using STAM-2 and a genetic algorithm.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Kim, T J |
| Uncontrolled Keywords: | economic impact; traffic; earthquake; integration; retrofit |
| Index terms: | reconstruction, temporality, terrorism, earthquake, national economy, traffic flow, dissertation, implementation, static model, genetic algorithm, object-oriented modelling, strategy, integration, data model, economic impact, repair |
| Subjects: | organizational analysis, building construction, transportation engineering, environmental hazards, financial analysis, management, terrorism studies, algorithms, software systems, maintenance engineering, modelling and simulation, data science, contractual arrangements, economic analysis, research dissemination and communication, business |
| Topics: | Procurement, Sustainability, Engineering Principles, Organizational Design, Digital Applications, Urban Studies, Business Strategy, Cost Management, Research Practice |
| 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