Courses
- Transportation Engineering and Planning (64010) תקציר הקורס:
- Seminar In Infrastructure Engineering and Manageme (64017) תקציר הקורס:
- Decision Making through Spatial Aanalysis (66107) תקציר הקורס:
Abstract:
The course is divided into five parts: (1) Transportation Planning
(2) Data mining, Planning tools, Appraisal (3) Traffic Engineering and Safety (4) Freight trains (5) Future Transport.
Abstract:
Abstract: This course will provide students with practical tools for the analysis and evaluation of complex infrastructure projects. Through the examination of various case studies in urban planning, transportation, and energy sectors, students will gain a deep understanding of decision-making processes, risk management, and problem-solving in infrastructure. The course will emphasize a systems approach, utilizing advanced tools such as GIS, Tableau, and MS Project to help students develop creative and effective solutions to complex engineering challenges.Abstract:
In the modern era, we are exposed to sources of information from different fields such as health, environmental quality, transportation, security and more. Sometimes the information we are exposed to is the result of some kind of analysis: like for example the conclusions of a scientific study and sometimes the information is detailed which can be analyzed and based on the results of the analysis to make managerial or marketing decisions.
GIS technologies make it possible to display, analyze and map tabular data by spatial-geographical methods. The GIS gives another tools to data analysis, which can support decision-making.
The G.I.S - Geographic Information System can be defined as an organized collection of hardware, software, geographic information and professional personnel that enable the management, recovery and analysis of geographic data. The GIS technology is the spatial complement of the alphanumeric information systems and is an integral part of the corporate information system.
Conceptually, the GIS systems is a map linked to a table. Using a unique GIS technology, it is possible to research, manage and generate information from different types of data with a spatial extraction. Examples of the spatial data can be: vehicle location in a given space, roads, buildings, municipal areas, streams, water sources and more.
As part of the proposed course, the students will receive theoretical and practical tools that will allow them to analyze phenomenas in diverse topics such as logistics, operation and service and more, through spatial-geographical analysis. Governments Institutes and companies from the private sector publish various databases in the Public Domain, some of which the students will be exposed to during the course. Using the software platforms they will learn as part of the course. The students will analyze data and propose solutions that will support managerial and planning decisions.
Examples: Is there a connection between NOx air pollution levels and transportation infrastructure in the area? What could be the environmental impact of building artificial islands in the sea in front of Tel Aviv? What will be the impact on patients care after the construction of a new hospital in the Negev? What is the success potential for building a new commercial center? Is the planned metro route and the locations of the stations on it is optimal? and more.
During the course, students will learn data integrity control methods, data integration methodologies from various databases and spatial data analysis tools that support decision-making (storage, editing, processing and analysis of spatial information).