This paper provides a systematic review of studies that model future autonomous vehicles
(AVs) in urban mobility and logistics using an agent-based model (ABM). Eighty relevant …

Introduction The past decade has increasingly seen systems approaches as a featured
theme in public health studies and policy documents. This trend is evident in the area of …

Big Data is the term being used to describe a wide spectrum of observational or “naturally-
occurring” data generated through transactional, operational, planning and social activities …

Rural regions in industrialised countries are facing problems in public transport (PT)
provision against the backdrop of demographic change, urbanisation and austerity policies …

Purpose The purpose of this paper is to evaluate the nature and characteristics of crowd
logistics business models. Using this evaluation, a new concept for a sustainable …

In this paper we investigate a new form of automated public transportation, named 'modular
transit', configured to overcome the shortcomings of the traditional bus, including the first …

Car transport is currently undergoing three simultaneous revolutions that are co-shaping the
pathway to low-carbon mobility: fleet electrification, shared mobility, and autonomous cars …

The paper presents an optimization model and its implementation using a hybrid approach
for the Capacitated Vehicle Routing Problem with Pick-up and Alternative Delivery …

Agent-Based models have come to be known as powerful techniques for solving complex
questions that arise from understanding human behavior. In this paper, we present an …

The emergence of demand responsive transport (DRT) services is restructuring mobility in
the urban universe. They provide a high level of service and in many cases compete with …