Truck Route Choice Modeling Using Large Streams Of Gps Data

Truck Route Choice Modeling Using Large Streams of GPS Data

The Routledge Handbook of Urban Logistics

The Routledge Handbook of Urban Logistics offers a state-of-the-art, comprehensive overview of the discipline of urban and city logistics. The COVID-19 pandemic and the rise in internet shopping in particular have placed new demands on urban logistics which require innovative technological and policy responses. Similarly, the necessity for sustainable urban logistics offers both a challenge and opportunity for development and seeks to address traffic congestion, local air quality, traffic-related degradation, the use of energy, safety aspects and noise. Featuring contributions from world-leading, international scholars, the chapters examine concepts, issues and ideas across five topic areas that reflect the increasingly diverse nature of current research and thinking in urban logistics: transport modes, urban logistics sectors, technical analysis, policy, and sustainability. Each chapter provides an overview of current knowledge, identifies issues and discusses the relevant debates in urban logistics and the future research agenda. This handbook offers a single repository on the current state of knowledge, written from a practical perspective, utilising theory that is applied and developed using real-work examples. It is an essential reference for researchers, academics and students working in all areas of urban logistics, from policy and planning to technology and sustainability, in addition to industry practitioners looking to develop their professional knowledge.

Urban Informatics

This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.