Affiliation:
1. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy
Abstract
Given the rising attention towards the understanding of people’s mobility, this paper focuses on the study of next-place prediction models for mobility demand and path estimation. A systematic literature review was conducted to classify the existing methodologies from a quantitative and qualitative perspective. The findings highlight the availability of several models to study next-place prediction which varies according to the objectives of the study and on the data used, with no specific dominant approach. In conclusion, the study proposes a first attempt of classification, by developing a conceptual framework, that on the one hand explains the relationship between the models’ characteristics and on the other hand guides its selection according to the users’ needs.