Predicting personal mobility with individual and group travel histories

Autor:	Jonathan Reades, Francesco Calabrese, Carlo Ratti, Giusy Di Lorenzo
Rok vydání:	2012
Předmět:	Environmental studies Transportation planning Collective behavior Geography Operations research Mobile phone Component (UML) Geography Planning and Development Personal mobility Metropolitan area Data science Tourism General Environmental Science
Zdroj:	Environment and Planning B: Planning and Design. 39:838-857
ISSN:	1472-3417 0265-8135
DOI:	10.1068/b37147
Popis:	Understanding and predicting human mobility is a crucial component of a range of administrative activities, from transportation planning to tourism and travel management. In this paper we propose a new approach that predicts the location of a person over time based on both individual and collective behaviors. The system draws on both previous trajectory histories and the features of the region—in terms of geography, land use, and points of interest—which might be ‘of interest’ to travellers. We test the effectiveness of our approach using a massive dataset of mobile phone location events compiled for the Boston metropolitan region, and experimental results suggest that the predictions are accurate to within 1.35 km and demonstrate the significant advantages of incorporating collective behavior into individual trip predictions. Keywords: urban dynamics, human mobility, mobility prediction, mobile-phone data
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5169bfee3ae5bc02afaa290c903e39ad https://doi.org/10.1068/b37147 Zobrazit plný text záznamu