Context in Human Geography: A Multilevel Approach to Study Human–Environment Interactions?

One of the shortcomings of quantitative methods in human geography is an overreliance on models that can only account for the average outcomes of spatial events. Although methodological advancements in the form of multilevel models now allow human geographers to account for average outcomes as well as deviations about average outcomes of spatial events, it is not without question that such models can fully account for the cultural, political, and social contexts that affect human behavior. In this article I argue for the adoption of a multilevel approach to the study of human behavior to address some of the criticisms of quantitative methods in human geography. Using a transportation geography research agenda as an example, I discuss how a multilevel approach can complement qualitative methods. Such mixed research methods offer human geographers the opportunity to identify the appropriate role for quantitative methods and explore how context affects behavior.