טכניון מכון טכנולוגי לישראל
הטכניון מכון טכנולוגי לישראל - בית הספר ללימודי מוסמכים  
M.Sc Thesis
M.Sc StudentCleiman Sergio
SubjectPurchasing Benagiour of Pedestrtans in Hadar Cbd. Haifa
DepartmentDepartment of Architecture and Town Planning
Supervisor Professor Czamanski Daniel


Abstract

Two relatively new phenomena in the urban environment, in Israel, the pedestrian shopping streets and the shopping mall, share a common characteristic: the separation of pedestrian movement from vehicular movement, in a secure and comfortable atmosphere for entertainment and shopping.

Hadar, situated in the eastern slopes of the Carmel Mountain, serves as the Central Business District (C.B.D).to the Haifa Metropolitan area, and has a developed system of retail and other services, which generates intense pedestrian movement.

The visitor-volume is an important element to the commercial success of a particular business and of the area as a whole.

To help understand this element, this research presents a linear model- that focuses. on variation of pedestrian’ volume at different parts of the area. It is maintained that this variation is influenced by three variables the quantity of retail and other services existent at a given segment and in the nearby surroundings, represented in the model by a kind of spatial discounted rate to each segment, the difficulties of access to the segment, e pressed in the model by height above sea level and inclination; and architectonic conditions of each segment, classified, into defined categories.

The suggested model can provide directives for better location and improvement of attractiveness of retail and services, and for the elaboration of reinforcing policies in C.B.D areas, especially on those similar to Radar in their geographic, economic and topographic aspects.

The statistical analysis shows that the model explains part of the pedestrian volume variation with a high level of significance. Since the model explains the pedestrian volume variation in part only, further research should concentrate on the formulization of new parameters and on the refinement of the existent variables.