Abstract
Temporary migration trips are circulatory journeys that can be associated with tourism as these trips aren’t made on a regular basis. They’re often left unmeasured due to limited data sources, and thereby missing from regional and national travel demand models. This article presents a methodology for inferring large-scale temporary migration trips from mobile phone network data or Call Detail Record (CDR), and analyzing their spatial determinants based on urban assets derived from Google Places data. As a case study, CDR of mobile phone users in Portugal was used in our study from which insightful statistical patterns of both intra and inter-district flows were observed. Analysis of spatial determinants shows that places for leisure and population density are among the top influential factors that attract inflows into the district, while places for public service such as city hall, local government office, courthouse, and cemetery are negative urban assets for attracting district’s inflows. The presented methodology and insights gained from our analysis can be useful for transport and urban planners to establish better informed travel demand modeling and urban planning strategies.
Highlights
Motivated by its countless practical applications, human mobility has been one of the most fascinating research topics over the last decades
While circulatory migration refers to repeated movements, temporary migration involves a one-time only temporary stay and a return to the primary residence which eventually closes the migration cycle [27]
It is important for temporary migration trips to be considered in regional and national travel demand models as they largely represent long-distance trips that account for a substantial portion of total distance travelled
Summary
Motivated by its countless practical applications, human mobility has been one of the most fascinating research topics over the last decades. Understanding movement of human beings builds a foundation for travel demand forecast as transportation engineers and researchers seek to develop predictive models for how people travel and influential factors that affect their travel choices and decisions. Transportation infrastructure has been designed and built in relation to the movement of population, which takes place whenever a trip is made. Trips are made regularly and for different purposes. Different trip types vary in their frequency and periodicity [1]. Circulatory trips largely involve regular cyclic schedules, such as commute (daily journey to work or school), weekly travel to more distant work locations, and weekend trip to a second home
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
