The residential and commuting distance nexus across borders

The project at a glance

Start date:

02 Jan 2019
Duration in months:

38
Funding:

Uni
Principal Investigator(s):

Geoffrey CARUSO

About

Human mobility has always been one of the key factors to consider before any urban and transportation planning. People move daily for different reasons, but employment is the main one, since the workplace and the main residence are not, usually, located in the same area. The distance between these two locations is considered a trade-off between housing and transportation costs. The decision to commute or relocate is significantly more difficult when the workplace is located in a different country than the main residence. Cross-border commuting is very popular in the European Union. To that end, the main aim of this project is to identify cross-border commuting patterns and residential migration patterns within the Greater Region around Luxembourg and the European Union. These patterns will be linked and explain why people choose to cross-border commute and not relocate and vice-versa. Census and Twitter geo-located big data will be used to implement spatial interaction models, spatial econometrics and urban economic simulation models. The project will be divided into two larger sections. The first one will focus on a theoretical approach, both on an aggregate and a micro level. In the second section these theoretical approaches will be applied and empirically analysed for the European Union and the Greater Region. Geo-located Twitter big data will be used to fill in gaps in census data.