McIntyre, C (1996) A decision support system for the residential land development site selection process. PhD thesis, Pennsylvania State University, USA.
Abstract
An important phase within the overall residential land development process is preliminary project planning which is a highly coordinated effort involving a variety of decisions that are made by a number of individuals. Since residential land development is a risk taking venture, scientific methods must be applied to the process in order to mitigate the level of uncertainty and assist in the successful completion of the project. A critical decision faced by the project owner and the development team, during the preliminary planning phase, is the initial selection of the most appropriate site for a proposed development. The process of site selection inherently includes decisions involving: the conceptual plan, market research, feasibility studies, the regulatory conditions, the site characteristics, and off-site factors. All of these elements comprise both quantitative and qualitative factors that must be considered during site selection. This research effort focuses on the development of a decision support system that can assist the development team during the site selection process. The analytical hierarchy process is the quantitative tool that is applied to the site selection decision support system. The use and applicability of the decision support system to the residential site selection process is demonstrated in a case study site example. Appropriate discussions and conclusions are also provided.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Willenbrock, J H |
| Uncontrolled Keywords: | decision support; market; residential; uncertainty; feasibility study; market research; project planning; owner; analytical hierarchy process; case study |
| Index terms: | decision support, risk taking, market research, feasibility study, site selection, land development, project planning, case study, owner, analytical hierarchy process, qualitative factor |
| Subjects: | decision-making and reasoning, sociology, decision analysis, cognitive psychology, market analysis, decision-making and optimization, data collection methods, control systems, real estate economics, design stages, data analysis and analytics |
| Topics: | Design Practice, Urban Studies, Project Management, Research Practice, Engineering Principles, Stakeholder Management, Risk Management |
| Descriptive scope: | 4 PCEA |
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