Laube Patrick

Agenten-basierte Modellierung von Besucherströmen im Sihlwald / Langenberg

Project Number: CH-4882

Project Type:	Master
Project Duration:	10/01/2012 - 08/31/2013 project completed
Funding Source:	other ,
Leading Institution:	ZHAW Wädenswil
Project Leader:	Dr. Patrick Laube Life Sciences and Facility Management ZHAW Grüental 8820 Wädenswil Phone: +41 (0) 58 934 55 71 e-Mail: patrick.laube(at)zhaw.ch

related to this project.

for which the project has a relevance.

Research Areas:

Economy

Disciplines:

Science of management
computation sciences

Abstract:
Nature and National Parks are often faced with demands to preserve the natural envi- ronment on their territory and make it accessible to the public. In order to fulfill this goal, many park managers tend to monitor their park visitors. The Wildnispark Zürich has made several efforts to capture the stream of visitors in his park area. Visitor surveys and manual counts were made and fixed automatic visitor counters were installed. In this master thesis, agent-based models, which are a powerful technique for mode- ling simulations, are built to represent the existing knowledge of visitor flows in the Langenberg West and the Sihlwald park area. From the created agent-based modeling simulations, new information can be subsequently extracted. The area of the Langen- berg West is small-scale and has a closed trail network with two entrances, which are equipped with automatic visitor counters. The Sihlwald contains a larger area and has a larger number of entrances which the monitoring does not take into account. The visitor flows of the Langenberg West were implemented with two, those of the Sihl- wald with seven different movement types. In the results of agent-based modeling of the Langenberg West and the Sihlwald was of major interest, what they can contribute to test the plausibility of the calibration factors of automatic traffic counters and which benefits can be derived from the modeled average residence time of the visitors. In the agent-based modelings of Sihlwald, the question of which information they can provide for an optimized placement of the counting stations was additionally of high interest. It was shown that on the basis of agent-based modeling statements for the plausibility of the calibration factors of automatic traffic counters can be made with a certain un- certainty. Generally, the average residence time depends strongly on the implementation of the movement type. Stops at infrastructure facilities are of much greater importance for the Langenberg West than the Sihlwald. For spatial optimization of traffic counters, agent based modeling can help by providing visitor frequencies for each path segment as well as visitor behavior and frequencies at the crossroads.

Publications:
Baumgartner, Martin. 2013. Agentenbasierte Modellierung von Besucherströmen im Wildnispark Zürich. Masterarbeit, Geographisches Institut, Universität Zürich.
pdf Masterarbeit


Last update: 7/18/17
Source of data: ProClim- Research InfoSystem (1993-2024)
Update the data of project: CH-4882

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