Using transactional and spatial data to determine drivers of industrial land value
Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2017
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2018
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| Online Access: | http://hdl.handle.net/1721.1/113483 |
| _version_ | 1811083794431606784 |
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| author | Callahan, Mark F.(Mark Francis) |
| author2 | Albert Saiz. |
| author_facet | Albert Saiz. Callahan, Mark F.(Mark Francis) |
| author_sort | Callahan, Mark F.(Mark Francis) |
| collection | MIT |
| description | Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2017 |
| first_indexed | 2024-09-23T12:39:25Z |
| format | Thesis |
| id | mit-1721.1/113483 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:39:25Z |
| publishDate | 2018 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1134832019-11-22T04:12:37Z Using transactional and spatial data to determine drivers of industrial land value Callahan, Mark F.(Mark Francis) Albert Saiz. Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development. Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development Center for Real Estate. Program in Real Estate Development. Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2017 Cataloged from PDF version of thesis. Includes bibliographical references (pages 74-76). The value of a given parcel of land is determined by a multitude of factors based on its location and physical characteristics. No two parcels are alike, making direct comparison between parcels and the study of underlying land values difficult. Further, in locations where land is most valuable, there are often existing improvements on the land. In order to determine a land-only value, the value of the existing buildings or infrastructure must be estimated. This leads to the potential for errors and other issues. There has been a great deal of research conducted on land value for specific real estate uses, such as residential or office. However, little research has been conducted on industrial land. This study will focus specifically on industrial land value and the individual factors that drive it. This study analyzes a database of 1,000 transactions in 10 of the largest industrial real estate markets in the United States. The data set is unique because most of the data points are land only, lessening the impact of appraisal and estimation techniques. Additional variables were added to each data point to account for local land use regulation, as well as spatial location. A regression analysis determined how these variables influenced the underlying land values. From this analysis, the following conclusions emerged: First, land use regulation is a strong driver of industrial land values. Using index values from the Wharton Residential Land Use Regulatory Index (WRLURI), the analysis showed that land values increased when the stringency of land regulation increased. Second, proximity to interstate highways, airports, and the central business district are also significant drivers of industrial land value. Decreased distances to these points of interest resulted in increased land value. Third, industrial land values are also positively influenced by the cumulative income of the surrounding population. A 1 percent increase in cumulative population income resulted in an approximately 0.47 percent increase in land value. Lastly, physical land features impacted land values intuitively. Flattened, developed sites were much more valuable than raw, undeveloped sites. by Mark F. Callahan. S.M. in Real Estate Development S.M.inRealEstateDevelopment Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate 2018-02-08T16:25:54Z 2018-02-08T16:25:54Z 2017 2017 Thesis http://hdl.handle.net/1721.1/113483 1019907432 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 85 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Center for Real Estate. Program in Real Estate Development. Callahan, Mark F.(Mark Francis) Using transactional and spatial data to determine drivers of industrial land value |
| title | Using transactional and spatial data to determine drivers of industrial land value |
| title_full | Using transactional and spatial data to determine drivers of industrial land value |
| title_fullStr | Using transactional and spatial data to determine drivers of industrial land value |
| title_full_unstemmed | Using transactional and spatial data to determine drivers of industrial land value |
| title_short | Using transactional and spatial data to determine drivers of industrial land value |
| title_sort | using transactional and spatial data to determine drivers of industrial land value |
| topic | Center for Real Estate. Program in Real Estate Development. |
| url | http://hdl.handle.net/1721.1/113483 |
| work_keys_str_mv | AT callahanmarkfmarkfrancis usingtransactionalandspatialdatatodeterminedriversofindustriallandvalue |