Son, K; Choi, K; Woods, P and Park, Y J (2012) Urban sustainability predictive model using GIS: Appraised land value versus LEED sustainable site credits. Journal of Construction Engineering and Management, 138(9), pp. 1107-1112. ISSN 0733-9364
Abstract
Although many researchers have attempted to examine the value-added advantages of adopting Leadership in Energy and Environmental Design (LEED) standards for sustainable design projects, quantitative research into its impact on the appraised unit value of land has been fairly limited. The objective of this study is to develop a quantifying model that predicts the unit value of unimproved lands by analyzing the interdependency between the adoption of three LEED sustainable site credits (LEED SSCs) and the appraised unit value of unimproved lands. By using a geographic information system mapping technique, a set of LEED SSC data was created and transformed for normality. A multiple linear regression analysis was then performed to develop the predictive model with a time and location adjustment factor to analyze how the appraised value of land was affected by the presence of three LEED SSCs. The analysis indicates that adapting projects to meet acceptance standards for LEED SSCs has a significant positive impact on the appraised unit value of improved lands. The findings of this study will help decision makers frame sustainable real estate development projects that consider LEED SSCs.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | geographic information systems; public transportation; site selection; sustainable development |
| Index terms: | sustainable design, sustainable development, mapping, real estate development, public transportation, site selection, quantitative research, environmental design, presence, geographic information system, land, regression analysis |
| Subjects: | spatial and geospatial analysis, economic development, design process, health safety and environment, cognitive psychology, geographical techniques and analysis, statistical analysis, infrastructure and transport systems, sustainability and energy, real estate economics, environmental science, data analysis and analytics |
| Topics: | Health and Safety, Engineering Principles, Geographical Context, Research Practice, Sustainability, Urban Studies, Design Practice |
| Descriptive scope: | 3 PCA |
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