Smart cities have emerged to cope with economic and environmental challenges posed by
modern-day complex city systems. This study hypothesized that overcoming such …

Abstract Systems Dynamics (SD) is an efficient method that allows to analyze systems with
dynamic complexity and policy resistance. The holistic approach of SD is suitable to analyze …

Traffic congestion is a growing problem in urban transportation networks around the world,
having major consequences for the economy and the environment. As metropolitan …

The streetscape of any city reflects the natural built fabric of the street and adds to the
experiential quality of that space. A sustainable streetscape ensures that the spaces are …

Intelligent traffic control at urban intersections is vital to ensure efficient and sustainable
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …

Data dissemination of safety messages in smart transportation allows vehicles to broadcast
safety-related information about their surroundings to other vehicles within their proximity for …

An often-overlooked problem in the evaluation and prediction of congestion charge policies
is commuters' bounded rationality. Although some studies have sought to account for this …

Increasing use of single or fewer occupant vehicles has increased traffic congestion and
transport-related emissions. Public transport as mass transit options are increasingly being …

Accurate traffic volume prediction plays a crucial role in urban traffic control by relieving
congestion through improved regulation of traffic volume. Network‐level traffic volume …

School trips affect different aspects, such as air pollution and urban traffic, and of personal
wellbeing, such as students' physical and mental health. The increasing concern about …