This paper presents a new smartphone application, Wander, to capture high resolution space-time information on urban dwellers. We detail both the mechanism as well as the analytic platform through which broad scale spatial mobility studies can be mounted to reveal how individuals move through spaces and interact with the social and physical elements of urban life. Results demonstrate the utility of Wander for collecting spatial mobility data that for the first time enables empirical testing of theories first forwarded by urban sociologists at the turn of the 20th Century. We use data collected through the Wander application to examine the timing and regularity of spatial mobility patterns, how these are related to particular urban features,...
Ponència presentada a: Session 4: Etnografìas, fenomenología, fenomenología social y dialogía social...
We analyze urban mobility by relying on the short-term mo-bility traces gathered from a publicly ava...
Check-in locations on social media provide information about an individual’s location. The millions ...
This paper presents a new smartphone application, Wander, to capture high resolution space-time info...
Since the 1970s, activity diaries have been the principal source of data used by geographers and urb...
In recent years, spatial data derived from cell phones has become increasingly recognized as a valua...
Knowledge about human mobility patterns is the key element towards efficient mobility management. Tr...
In the past decade, large scale mobile phone data have become available for the study of human movem...
The MOVE project deals with the collection and analysis of crowd behaviour data. The main goals of t...
In 2010 the MOVE project started in the collection and analysis of crowd behaviour data. The two mai...
In recent years, the widespread of mobile devices has made easier and popular the activities of reco...
In this work, we explore context-aware application scenarios that become possible utilizing semantic...
Nowadays the possibility of being ubiquitous connected generates new patterns in the relation betwee...
Abstract. In the past decade, large scale mobile phone data have become available for the study of h...
The paper investigates if and how mobile phone data can help to describe the complexity of urban ph...
Ponència presentada a: Session 4: Etnografìas, fenomenología, fenomenología social y dialogía social...
We analyze urban mobility by relying on the short-term mo-bility traces gathered from a publicly ava...
Check-in locations on social media provide information about an individual’s location. The millions ...
This paper presents a new smartphone application, Wander, to capture high resolution space-time info...
Since the 1970s, activity diaries have been the principal source of data used by geographers and urb...
In recent years, spatial data derived from cell phones has become increasingly recognized as a valua...
Knowledge about human mobility patterns is the key element towards efficient mobility management. Tr...
In the past decade, large scale mobile phone data have become available for the study of human movem...
The MOVE project deals with the collection and analysis of crowd behaviour data. The main goals of t...
In 2010 the MOVE project started in the collection and analysis of crowd behaviour data. The two mai...
In recent years, the widespread of mobile devices has made easier and popular the activities of reco...
In this work, we explore context-aware application scenarios that become possible utilizing semantic...
Nowadays the possibility of being ubiquitous connected generates new patterns in the relation betwee...
Abstract. In the past decade, large scale mobile phone data have become available for the study of h...
The paper investigates if and how mobile phone data can help to describe the complexity of urban ph...
Ponència presentada a: Session 4: Etnografìas, fenomenología, fenomenología social y dialogía social...
We analyze urban mobility by relying on the short-term mo-bility traces gathered from a publicly ava...
Check-in locations on social media provide information about an individual’s location. The millions ...