TY - CHAP
T1 - Agent-Based Modelling
T2 - An Approach to Integrate Emerging Tourism Interactions with the Environment
AU - Student, Jillian
PY - 2022/1/31
Y1 - 2022/1/31
N2 - This chapter introduces agent-based modelling (ABM), a useful approach for looking at complex interactions between humans and their environment. Tourism is such a complex industry involving many stakeholders like tourists, accommodation providers, travel agencies, etc., working together to create a single tourism experience. Moreover, as tourism is both a global and local phenomenon, ABM helps to improve the understanding of how individual interactions result in larger phenomena. Individual decisions, such as where to go on vacation, influence the state of the destination as well as local and global transportation flows, and these feedbacks are often non-linear. Simultaneously, tourism and its ecosystem are changing through their interactions. ABM can capture heterogeneities in agent characteristics, types, and decisions as well as variations in the environmental context, providing it with the potential to assist researchers in understanding complex tourism challenges, explore potential future scenarios, and support decision-making. In this chapter, tourism as a complex system and the relevance of ABM for studying such emerging challenges will be described. In the practical demonstration, the main steps for developing an agent-based model will also be explained, and the model Coasting will illustrate the process of model building, key components of the model, and analysis tools.
AB - This chapter introduces agent-based modelling (ABM), a useful approach for looking at complex interactions between humans and their environment. Tourism is such a complex industry involving many stakeholders like tourists, accommodation providers, travel agencies, etc., working together to create a single tourism experience. Moreover, as tourism is both a global and local phenomenon, ABM helps to improve the understanding of how individual interactions result in larger phenomena. Individual decisions, such as where to go on vacation, influence the state of the destination as well as local and global transportation flows, and these feedbacks are often non-linear. Simultaneously, tourism and its ecosystem are changing through their interactions. ABM can capture heterogeneities in agent characteristics, types, and decisions as well as variations in the environmental context, providing it with the potential to assist researchers in understanding complex tourism challenges, explore potential future scenarios, and support decision-making. In this chapter, tourism as a complex system and the relevance of ABM for studying such emerging challenges will be described. In the practical demonstration, the main steps for developing an agent-based model will also be explained, and the model Coasting will illustrate the process of model building, key components of the model, and analysis tools.
KW - Agent-based modelling (ABM)
KW - Agents
KW - Complex adaptive systems
KW - Human-environment systems
U2 - 10.1007/978-3-030-88389-8_23
DO - 10.1007/978-3-030-88389-8_23
M3 - Chapter
AN - SCOPUS:85148714199
SN - 9783030883881
T3 - Tourism on the Verge
SP - 481
EP - 511
BT - Tourism on the Verge
A2 - Egger, R.
PB - Springer
ER -