Movement Surface: A Multilevel Approach for Predicting Visitor Movement in Nature Areas

Ana Maldonado, Monica Wachowicz and Antonio Vaźquez-Hoehne
Additional contact information
Ana Maldonado: Department of Engineering, Surveying and Mapping, Technical University of Madrid, 7 Calle de Ramiro de Maeztu, 28040 Madrid, Spain
Monica Wachowicz: Department of Geodesy and Geomatics Engineering, University of New Brunswick, PO Box 4400, Fredericton, NB, Canada
Antonio Vaźquez-Hoehne: Department of Engineering, Surveying and Mapping, Technical University of Madrid, 7 Calle de Ramiro de Maeztu, 28040 Madrid, Spain

Environment and Planning B, 2011, vol. 38, issue 5, 864-878

Abstract: The movement of visitors in nature areas is influenced by a variety of factors that consist of aggregated characteristics such as the average number of visitors to a park, different types of visitors, and their typical destinations, as well as individual characteristics of an individual vistor's expectations, motivations, activities, duration of stay, and trip itineraries. Therefore, it is important to simulate an overall picture of a visitor movement (macroscopic level) according to his individual physical mobility and cognitive capabilities (microscopic level). Most recreational simulation models have been developed to deal with one specific level in particular. In this paper we describe an integrated multilevel modelling approach for the prediction of visitor movement in nature areas. At the macroscopic level, a visitor movement is represented by a movement surface which follows the analogy of the flow of water in gravity models. In contrast, our model also belongs to the microscopic category, where visitors interact with their movement surface by making a sequence of decisions according to utility measures, which in turn generates their individual trajectories . The model was implemented for the simulation of the visitor movements within the Dwingelderveld National Park, which is located in the northern part of the Netherlands. Finally, the main outcomes and limitations of such a modelling approach are discussed.

Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/b36022 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:38:y:2011:i:5:p:864-878

DOI: 10.1068/b36022

Access Statistics for this article

More articles in Environment and Planning B
Bibliographic data for series maintained by SAGE Publications ().