Abstract
This chapter outlines a study that investigates the use of a virtual decision-making environment as a tool for better understanding individual land use choice behaviour. This chapter describes a preliminary study into the extent to which peoples’ land use decisions are affected by varying the visual and social context provided in the virtual environment. Early results indicate that individuals’ land use choices do vary under different configurations of the virtual environment, although not always as anticipated. Under more complex configurations of the virtual environment, users tend to deviate from what would be predicted based on their stated value priorities. Several users found that the three-dimensional visualisation component of the virtual environment was useful for conveying information, but it was not shown to affect their behaviour. Adding social context to the virtual environment, in the form of an agent-based model simulating the behaviour of neighbours, resulted in minor changes to users’ behaviour, particularly when the agents were programmed to make environmentallyfriendly land use choices. Following further development and testing, it is anticipated that the virtual land use decision-making environment could be a useful tool for gaining a better understanding of individual decision making. This information could then be used as the basis of improved models of individual land use choice behaviour, and the development of more effective land use policy in response to significant changes in decision contexts such as climate change. The chapter begins with a brief overview of some key theories about people’s decision-making behaviour, namely rational decision making and the role of values and attitudes in determining people’s behaviour. This is followed by a description of the components of the virtual environment, including an agent-based model, three-dimensional visualisation, and a user interface built inMicrosoft Access. The series of experiments conducted as a preliminary investigation in to the use of the virtual environment are then described, and the results discussed. Overall, some general trends were found, but the limited statistical significance of the results indicates that people’s decision-making processes within the virtual environment are more complex than originally anticipated, and more testing will be required to fully understand this.
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References
Ajzen I (1991) The theory of planned behaviour. Organisational Behavior and Human Decision Processes 50:179–211
Bardi A, Schwartz S (2003) Values and behaviour: strength and structure of relations. Personality and Psychology Bulletin 29(10):1207–1220
Bell P, Greene T, Fisher J, Baum A (1978) Environmental psychology. Harcourt College Publishers, Philadelphia
Chen AT, Stock C, Bishop ID, Pettit C (2007) Automated generation of enhanced virtual environment for collaborative decision making via a live link to GIS. Paper presented at Place and Purpose Conference, 30–31 May 2007, Bendigo, Australia
De Oliver M. (1999) Attitudes and inaction: a case study of the manifest demographics of urban water conservation. Environment and Behaviour 31:372
European Social Survey (2007) Retrieved 15 March 2007 http://www.europeansocialsurvey.org
Gardner GT, Stern PC (2002) Environmental problems and human behaviour. Custom Publishing, Boston
Gotts NM, Polhill JG, Law ANR (2003) Aspiration levels in a land use simulation. Cybernetics and Systems 34(8):663–683
Lindeman M, Verkasalo M (2005) Measuring values with the short Schwartz’s value survey. Journal of Personality Assessment 85(2):170–178
Milfont TL, Gouveia VV (2006) Time perspective and values: an exploratory study of their relations to environmental attitudes. Journal of Environmental Psychology 26:72–82
Rokeach M (1973) The nature of human values. Free Press, New York
Schultz PW, Zelzny LC (1998) Values and pro-environmental behaviour: a five country survey. Journal of Cross-Cultural Psychology 29(4):540–559
Schwartz SH (1992) Universals in the content and structure of values. Advances in Experimental Social Psychology 25:1–65
Simon HA (1997) Models of bounded rationality: empirically grounded economic reason (vol 3). The MIT Press, London
Swait J, Adamowicz A (2001) Choice environment, market complexity, and consumer behaviour: a theoretical and empirical approach for incorporating decision complexity into models of consumer choice. Organisational Behaviour and Human Decision Processes 86(2):141–167
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Kennedy, L., Bishop, I.D. (2008). Land Use Decision Making in a Virtual Environment. In: Pettit, C., Cartwright, W., Bishop, I., Lowell, K., Pullar, D., Duncan, D. (eds) Landscape Analysis and Visualisation. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69168-6_29
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DOI: https://doi.org/10.1007/978-3-540-69168-6_29
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