Ivan Majic

Graz University of Technology | TU Graz · Institute of Geoinformation

Agent-based modelling (ABM) is a computer-based system to simulate the interactions, relationships and behavior of individual agents in a defined spatial context. Due to its stochastic and heterogenic nature, the method has the potential to represent the complexity of the tourism system with a broad range of possible applications. In the context of...

Decision makers in the tourism sector deal with various issues and need high-quality information to support their decisions. We propose a data-centric approach that analyses historical point of interest (POI) check-in data to determine parameters for an Agent Based Model (ABM). ABM simulation is then run multiple times to simulate possible outcomes...

Modern tourism in the 21st century is facing numerous challenges. One of these challenges is the rapidly growing number of tourists in space limited regions such as historical city centers, museums or geographical bottlenecks like narrow valleys. In this context, a proper and accurate prediction of tourism volume and tourism flow within a certain a...

Existing question answering systems struggle to answer factoid questions when geospatial information is involved. This is because most systems cannot accurately detect the geospatial semantic elements from the natural language questions, or capture the semantic relationships between those elements. In this paper, we propose a geospatial semantic en...

With the increasing interest in safety-critical road applications, the position integrity estimate has become an important measure of trust in Global Navigation Satellite System (GNSS) challenged environments such as urban canyons. Although the development of integrity methods for vehicles collaborating in a network has gained traction in recent ye...

Detection and correction of errors in map data based on spatial reasoning may be used to improve their quality. However, the majority of current spatial reasoning approaches are based on binary spatial relations and are not able to perform analyses involving more than two objects. This article proposes building accessibility analysis with the terna...

Urban vegetation is important because of the fast-growing urbanization. If we want cities to have sustainable growth and well-kept ecology, we need to develop a smart and efficient urban vegetation monitoring system. This paper examines the possibility of using a modified GoPro camera mounted on a car. The lens of a GoPro camera was replaced with t...

The term between is frequently used to describe spatial arrangements of objects where one described core object is positioned in the space bounded by two or more peripheral objects. As such, the relation between involves spatial configurations of at least three spatial objects. However, most of the existing qualitative spatial reasoning models focu...

In a typical data collection process, a surveyed spatial object is annotated upon creation, and is classified based on its attributes. This annotation can also be guided by textual definitions of objects. However, interpretations of such definitions may differ among people, and thus result in subjective and inconsistent classification of objects. T...

Within the broad field of walkability research, a key area of focus has been the relationship between urban form and capacities for walking. Measures of walkable access can be grouped into two key types: permeability measures that quantify the ease of movement through an urban fabric, and catchment measures, quantifying the potential to reach desti...

Smart cities are ubiquitous topic today, and emerge as preferred concept for future development of human lifestyle. In the international literature, there are only a few articles dealing critically with the topic of the smart cities, and even fewer of them are interdisciplinary. Integrated sensor systems are a prerequisite for developing the concep...

Volunteered Geographic Information (VGI) projects, such as Open-StreetMap (OSM) enable the public to contribute to the collection of spatial data. In OSM, users may deviate from spatial feature annotation guidelines and create new tags (i.e. key=value pairs), even if recommended tags exist. This is problematic, as undocumented tags have no set mean...