טכניון מכון טכנולוגי לישראל
הטכניון מכון טכנולוגי לישראל - בית הספר ללימודי מוסמכים  
M.Sc Thesis
M.Sc StudentShemer Shulamith
SubjectA Plan for Neighborhood Revitalization in Tel-Giborim Holon
DepartmentDepartment of Architecture and Town Planning
Supervisor Architect Adam Mazor


Abstract

The Tel-Giborim quarter of Holon is in need of rehabi1itation. Housing is of 1ow standard and insufficient, and unemployment and lack of social centers tend to drive well-to-do educated people away. The quarter has a vacant tract ("The Arab Vi1age") available for new construction, and many existing residential units can be refurbished and extended, or torn down and rebuilt.


It is envisaged that by the year 2003 the quarter could be renovated, by contractors working to a plan, at a cost, for a profit, whereby the value of individual residential units and of the entire quarter would increase, and housing, employment and living conditions would be improved. The present trend could be reversed, making the quarter attract quality population from the outside.


Based on official surveys and additional data collected on site, a model was set up for optimizing the renovation program by linear programming applying restrictions, expressed as constraints, to bias the solution in accordance with preferences of the planners. The optimization aims to maximize a target function. Defined as the difference between the final residential value achieved and the total outlay in creating it.


The basic model and its 7 derivative variants here considered and analyzed allow different weights to be placed on meeting the demands of the existing population (less crowding, less demolition, more refurbishment and extension on the variety and relative proportions of apartments of various sizes, and on the final value of the quarter and the profit made.


The models offer a variety of approaches likely to find favor either with the local authorities, the quarter residents or the renovation contractors, according to the findings that indicate what loss or gain would follow from tightening or relaxation of specific constraints.