Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1999. / Includes bibliographical references (leaves 95-96). / Targeting project areas and defining the objectives are the most important procedures to plan neighborhood economic development, such as the Boston Main Street Program. Which shopping district is to be encouraged and how? However, this has not been an easy task, especially when the neighborhood is in the inner city, because the inner city is so diversified that planners can not find clear spatial patterns on which to base their decisions. This paper attempts to extract patterns of socioeconomic phenomena relevant to economic development and map them. The advancing technology of Geographic Information Systems (GIS) has made it easier to apply raster (grid cell or bit pattern) analysis to studying urban spatial patterns. A map that shows socioeconomic phenomena via rasterization and smoothing processing is called "socioeconomic topography" here. Just as conventional topography shows us geographical features, socioeconomic topography illustrates the spatial pattern and clustering of socioeconomic features of a given area. The following maps are created as socioeconomic topography to support planning of inner city economic development: (1) land use allocation, (2) land value, (3) business variation, (4) shopping convenience, and (5) leading industrial clusters. On each map, spatial patterns stand out clearly from the chaos of Boston's inner city. Socioeconomic topography offers a new way of understanding the inner city and illuminates the need of made-to-order projects for each shopping district. / by Hideo Sakamoto. / M.C.P.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/9327 |
| Date | January 1999 |
| Creators | Sakamoto, Hideo, 1956- |
| Contributors | Joseph Ferreira, Jr., Massachusetts Institute of Technology. Dept. of Urban Studies and Planning., Massachusetts Institute of Technology. Dept. of Urban Studies and Planning. |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 100 leaves, 19581762 bytes, 19581519 bytes, application/pdf, application/pdf, application/pdf |
| Rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission., http://dspace.mit.edu/handle/1721.1/7582 |
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