853321 Monitoring and modelling of visitor flows
This page is available under these URLs:
- Lecture and seminar
- Semester hours
- Lecturer (assistant)
- Offered in
- Wintersemester 2020/21
- Languages of instruction
We provide an overview over monitoring methods and their advantages and disadvantages, and we show how these monitoring data can be used for modelling and simulation of visitor flows and behaviour, as well as for recreation area management. One part of the lecture demonstrates the practical use of monitoring devices or data analysis of visitor survey data.
Importance of visitor data for sustainable visitor management in recreation and conservation areas
Goals of monitoring, simulation, and modelling of visitor flows and visitor behaviour
Which data are necessary for the simulation and modelling of visitor flows and visitor behaviour?
Which monitoring methods can be used to collect data? What are the advantages and disadvantages of various monitong techniques (visitor counters, video observation, on-site interviews etc.)
Analysis of visitor data
Modelling visitor use:
Modelling of visitor behaviour using for example regression analysis, stated preference and choice models
Simulation and modelling of visitor flows depending on weather and the day of the week
Computer- based simulation models: micro and macrosimulation models, agent-based models
Seminar part (Student's choice):
1) Analysis of visitor survey data based on existing data, or
2) Analysis of visitor count data based on existing data, or
3) Practical use of monitoring methods such as pressure pads, passive or active infrared sensors; or
4) Modelling of visitor use based on existing data
- Previous knowledge expected
Some experience with MS Excel (statistical tool), SPSS or R is highly recommended.
- Objective (expected results of study and acquired competences)
Students know how to set up a visitor monitoring project
Students know what methods can be used for a visitor monitoring
Students know the advantages and disadvantages of visitor monitoring methods
Students have some basic knowldege about visitor modelling/simulation
They know some statistical tools and are able to analyse visitor survey/counting data.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.