Tag: human behavior

An approach for understanding human activity patterns with the motivations behind

A mechanistic understanding of human activity patterns lays a foundation for many applications. The majority of the current research aims to outline human activity patterns mainly from spatiotemporal perspectives (i.e., modeling human mobility patterns), lacking of understanding of the motivations behind behaviors. The aim of a recently published study is to model and understand human…

2018-12-11
Now online: Analysing interaction between urban human activities and daily traffic conditions from Twitter

Understanding how citizens interact with transportation system is a key to solving a variety of urban issues in general and traffic congestion in particular. Recently, scholars have put efforts on the pertinent work ranging from developing traffic predictors to understanding human mobility and activity patterns. Multiple types of data have been used, of which crowdsourced…

2018-12-05
The Identification of Geographic Activity Contexts – Invitation to Colloquium Mon 03rd April HD

We cordially invite anybody interested to the first public GIScience Colloquium presentation on Monday for this summer term. The Identification of Geographic Activity Contexts: Considering Behavioral Effects Asher Yair Grinberger, The Hebrew University of Jerusalem, Department of Geography Time: Mon, April 3, 2017, 2.15 pm Venue: Dep of Geography, INF 348, Room 015 Correctly identifying…

2017-04-02
Mining and correlating traffic events from human sensor observations with official transport data using self-organizing-maps

Cities are complex systems, where related Human activities are increasingly difficult to explore within. In order to understand urban processes and to gain deeper knowledge about cities, the potential of location-based social networks like Twitter could be used a promising example to explore latent relationships of underlying mobility patterns. In a recently published paper (Steiger…

2016-11-16
Mapping collective human activity based on mobile phone data

Identifying and characterizing variations of human activity – specifically changes in intensity and similarity – in urban environments provide insights into the social component of those eminently complex systems. Using large volumes of user-generated mobile phone data, we derive mobile communication profiles that we use as a proxy for the collective human activity. In this…

2014-03-05