Using Spatially Explicit Marketing Data to Build Social Simulations

Andreas Ernst ()
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Andreas Ernst: University of Kassel, Center for Environmental Systems Research

Chapter 5 in Empirical Agent-Based Modelling - Challenges and Solutions, 2014, pp 85-103 from Springer

Abstract: Abstract To construct a population of artificial agents, modellers either can use available large-scale e.g. demographic orland-use data of built-up areas. Or they rely on detailed data on cognitive and behavioural variables e.g. gathered through a domain-specific survey to craftspecific behavioural agent rules.However, both scales cannot easilybe connected. This chapter describes a method of using data stemming from geo-marketing research to support this scaling-up process with lifestyles and their localisation that are used as an empirical bridge between the micro and the macro levels.

Keywords: Domestic Water; Agent Behaviour; Agent Type; Water Price; Perceived Behavioural Control (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-6134-0_5

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DOI: 10.1007/978-1-4614-6134-0_5

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