Rising interest in the field of Intelligent Transportation Systems combined with the increased
availability of collected data allows the study of different methods for prevention of traffic …

The high level of motorization typical for many cities gives background to the emergence of
congestion situations, which largely reduces the transporting access to and unimpeded …

The limited available public space and the intention to promote active mobility, enhance the
importance and the interest about pedestrians-cyclists shared spaces. This paper proposes …

Bike-sharing systems are an important part of many cities' transportation systems and they
are constantly being introduced in more and more cities worldwide. Thus, the strategic …

Developed essentially in the context of American cities, the Transit Oriented Development
(TOD) model has also occupied the literature regarding European cities, especially those …

This paper provides an analysis and proposes a methodology for predicting traffic
congestion. Several machine learning algorithms and approaches are compared to select …

The paper develops the concept of a timescape of a city based on empirical analysis of
geospatial big data. We understand the timescape as the temporal shape of a city, which …

In recent years, the relationship between transportation and subjective well-being has been
a major subject. Well-being is a factor that can affect travelers' psychology and transport …

Climate change is a major environmental threat of our time. Cities have a significant impact
on greenhouse gas emissions as most of the traffic, industry, commerce and more than 50 …

The parameters that affect bicyclists' satisfaction are of vital importance when it comes to
determining the reasons that endure bicycle usage in an urban environment. This research …