|M.Sc Student||Misgav Ayala|
|Subject||A Process for Planning and Management of Street Trees|
|Department||Department of Architecture and Town Planning||Supervisor||Professor Shaul Amir|
This thesis develops a Step-by-Step process for planning and management of street trees in urban areas. These trees represent one of the four components of the urban forest which are as follows: 1. Street trees. 2. Greenery in public open Spaces. 3. Greenery in private open spaces. 4. Greenery in open spaces located on the outskirts of the City.
In development of the Street tree planting process, it has been our objective, taking into consideration their extensive value and their sensitivity to the pressures of urbanization, to create tools that will assist decision-makers through the stages of planning and coordinated maintenance of these trees.
The process developed is comprised of four phases: The physical and spatial nature of a street tree inventory, a description of the structure inventory, the planning and planting of Street trees and the treatment and maintenance of street trees.
The third phase - the planning and planting of street trees - comprises a large part of this thesis. The phase deals with planning for the planting of young trees or replanting.
The planning and management process developed here was implemented in the Neve Shaanan neighborhood in Haifa. This implementation demonstrated that the process is, in fact, even to practical application. The results are to be evaluated after continued application of the process by a number of management units.
The result of this process — including an updated description of street tree inventories, a general neighborhood planting plan, a detailed street planting plan and a yearly maintenance plan, from the point of view of production, points to a way of methodological planning to aid the planner in consolidation of management policy. The main contribution made by this process is in the creation of an arrangement of processes that guide the planner in decision making resulting from street tree inventories in the urban environment.