Showing 3 results for Ghorbanian
M. Ghorbanian, F. Shariatpour,
Volume 29, Issue 2 (12-2019)
Abstract
3D modeling and visualization in large-scale cities is a major difficulty for computer graphics. Studying photos of a big city reveals a variety of street patterns, buildings, shapes, and textures. This paper presents "procedural modeling" as a new approach to create three-dimensional modeling, especially for large-scale modeling. Procedural modeling deals with the production of semi-automatic (semi) content using a program or routine. This kind of modeling was historically utilized for 3D visualizing the natural properties, however, by releasing the CityEngine in 2008, the technology can easily be applied to urban environments as well. In this paper, this approach using a descriptive-analytical method will be examined, with particular emphasis on the extent to which procedural modeling is used in the design of cities, streets, buildings, etc., by CityEngine software. Therefore, while reviewing how architectural form grammars are used to generate 3D modeling procedures, two types of modeling including traditional and procedural modeling will be studied and compared and the benefits of procedural modeling will be revealed. After a description of the features of CityEngine, it will be introduced as a technique that follows procedural modeling. Finally, due to the advantages of procedural modeling, this type of modeling (algorithmic) is suggested as an alternative to manual modeling (traditional methods in urban design) to increase the accuracy, speed, and efficiency of the design and in addition, this will increase the flexibility of the design via this approach. In this regard, the workflow of the procedural modeling process will be provided using the CityEngine technique and a number of outputs of this technique that have been provided in the CGA will be presented.
Mahshid Ghorbanian,
Volume 30, Issue 1 (6-2020)
Abstract
Zoning has always been one of the basic tools of land use control available. Zoning is the regulation and restriction of land uses according to a predetermined plan. This paper will present a look at conventional zoning, its origins, the evolution of the zoning, and the scope of zoning types. Regardless of the varieties, most zoning codes can be classified into at least one of the following broad categories: Euclidean zoning, Performance/Impact zoning, Incentive zoning, Form-based zoning and Hybrid Zoning. In this article, a descriptive-analytical method is used to review the existing documents and extract the materials in order to introduce the approach of FBC, its advantages and disadvantages. So, after defining each concept, the Critiques of Euclidean Zoning will be explained and then a new approach of zoning named Form-based Codes will be introduced to develop a better way of zoning in order to select homogenous areas of urban and rural terrain to adopt determined and certain rules of planning.
Mahshid Ghorbanian,
Volume 35, Issue 1 (1-2025)
Abstract
In recent times, DT technology has emerged to act as a potential facilitator in conceptualizing a sustainable smart city, thereby allowing virtual models to be integrated seamlessly into the physical environment. This paper tends to explore the contribution of DT in urban planning, management, and optimization processes in regards to contemporary trends on sustainability and enhancement of livability within smart city paradigms. DT technology replicates systems, processes, or infrastructures and allows simulation of minute details through extensive analysis and real-time monitoring. DT bridges the gap between virtual and physical spaces, offering data-informed insights to policymakers, urban planners, among other stakeholders, in optimizing urban systems, enhancing resource efficiency, and making better decisions within the paradigm of urban management. The study then enumerates several DT applications; among them are traffic management, environmental monitoring, and emergency response. These represent potential alleviation to urban problems and increasing the quality of life in citizens. On the other hand, DT deployment in urban environments faces challenges related to data privacy and interoperability aspects, which require high infrastructural costs and cooperative solutions. This is further entrenched through the use of case studies and literature reviews that substantiate the potential of DT in guiding cities toward a more sustainable and resilient future by dynamically fostering responsive smart cities that address environmental and social imperatives.
