|M.Sc Student||Despina-Diana Golub|
|Subject||Quantitative Model for Three-Dimensional Analysis of Urban|
Environments Indicating on Qualitative Aspects
|Department||Department of Civil and Environmental Engineering||Supervisors||Dr. Fisher Gewirtzm Dafna|
|Professor Emeritus Doytsher Yerach|
|Full Thesis text - in Hebrew|
This study presents an algorithm that combines the calculation of the volume viewed from a certain view-point, with landscapes weights was developed . The evaluation/analysis consists of a combination of objective calculation and subjective evaluation representing the value of the view and its impact on the perception on the viewer. The viewpoint can be on ground level, on the side of a building (as if from a window) or in an open space. The algorithm computes the observed volume of space according to given buildings and a topography model. During the calculation of the visible volume, the algorithm takes into account the invisible areas (volumes), created by buildings and the outline of the landscape. The calculated visible volume is expressed as a percentage of the overall observed volume of the selected area. In addition to geometric calculation, the data of land uses of the tested area was also entered. The algorithm takes into account the different weights of various landscapes (land use factor, representing the impact of the view on the human perception). The model has default weights for different land uses, which can be changed in accordance to the future users, and generalize them in the visibility calculation.
The algorithm, developed in Matlab, provides a bounding box where the buildings and the topography are entered into the system. This bounding box is a working area throughout the entire operation. The entire box is divided into equal-sized voxels, inspired by the work of Fisher -Gewirtzman et al. (2013) . Each voxel is divided into sub voxels; therefore the accuracy of calculation is the size of the sub voxel on each direction. In order to increase the accuracy of the calculations, it is possible to reduce the voxel size. The land-use factors may be adjusted to different populations with needs and preferences stemming from different cultures and behavior. The weights may be adapted for land uses depending on the nature and type of the population expected to live on it.
This model may be further developed for extensive use in practice. It would assist better planning and design practices predicting human perception of space in alternative design proposals and support a more sustainable future urban environment.