Mobility justice: the politics of movement in an age of extremes

Abstract

demand models based on assumed causality rather than correlation – topical and sometimes contentious. My greatest criticism is the lack of discussion about equilibrium modelling, standard in the majority of practical urban applications. The four-step model is introduced as sequential without feedbacks, and consequently the authors’ discussion of its shortcomings feels out-of-date and it does an injustice to the enormous progress made in this field since its introduction more than 50 years ago. I like chapters 8 and 9 a lot. These describe Artificial Intelligence, Neural Networks and Fuzzy Methods. The authors manage to engage the reader with what are conceptually complex methods, and give interesting and easy-to-understand examples how these new methods can be used to improve practice. Many transport modellers with 10 or more years of practical experience, who are probably already wedded to statistical, deterministic estimation methods, should benefit from being exposed to these chapters, and increase their confidence in using new methods and new, particularly big, data in their models. In conclusion, Profillidis and Botzoris have done an excellent job, creating an accessible text that should be viewed as additional to rather than replacing its better-known predecessors. The modelling of transport demand is a vast area to cover, and much of the existing literature has focused on urban, policy-supporting approaches. Those with a need to also consider the need for application in the transport industry now have access to a single source volume; available as paperback and as e-book.