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Urban Freight Analytics

Author : Eiichi Taniguchi

Publisher : CRC Press

Page : 187 pages

File Size : 40,67 MB

Release : 2023-09-14

Category : Technology & Engineering

ISBN : 100093344X

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Book Description

Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS). The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport. Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents. This book Presents procedures for evaluating city logistics technologies and policy measures Provides an overview of advanced modelling approaches, including agent-based model and machine learning Highlights the essential features of optimisation and simulation models applied to city logistics Discusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systems The book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.



Urban Freight Analytics

Author : Eiichi Taniguchi

Publisher :

Page : 0 pages

File Size : 38,94 MB

Release : 2024

Category : POLITICAL SCIENCE

ISBN : 9781003261513

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Book Description

"The emerging technologies of Information and Communication Technologies, Internet of Things, artificial intelligence, autonomous vehicles, and robots and drones, plus collaboration among stakeholders, can be used with data to model, plan and evaluate an efficient and sustainable urban freight transport system. This can incorporate the Physical Internet, autonomous vehicles, delivery robots, and dynamic road pricing and can manage network disruption. With case studies from several global cities, this book forms a graduate textbook in transport and logistics, and a reference for urban planning and logistics management practitioners"--



Data Analytics: Paving the Way to Sustainable Urban Mobility

Author : Eftihia G. Nathanail

Publisher : Springer

Page : 877 pages

File Size : 36,61 MB

Release : 2018-12-11

Category : Technology & Engineering

ISBN : 3030023052

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Book Description

This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility



Urban Informatics

Author : Wenzhong Shi

Publisher : Springer Nature

Page : 941 pages

File Size : 15,16 MB

Release : 2021-04-06

Category : Social Science

ISBN : 9811589836

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Book Description

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.



Big Data Analytics for Connected Vehicles and Smart Cities

Author : Bob McQueen

Publisher : Artech House

Page : 313 pages

File Size : 12,9 MB

Release : 2017-08-31

Category : Computers

ISBN : 1630814741

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Book Description

This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and examples that provide a strong framework focusing on practical application of data sciences and analytic tools for actual projects in the field. Both federal and private sector investments have a strong interest in the connected vehicle and this book discusses the impact this has on transportation. This book defines urban analytics and modeling, incentives and governance, mobility networks, energy networks, and other attributes and elements that craft a smart city. Readers learn how smart cities impact the application of advanced technologies in urban areas. This book explains how recently passed transportation legislation for the US has a specific emphasis on the use of data for performance management.



Transportation Analytics in the Era of Big Data

Author : Satish V. Ukkusuri

Publisher : Springer

Page : 240 pages

File Size : 50,31 MB

Release : 2018-07-28

Category : Business & Economics

ISBN : 3319758624

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Book Description

This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang. The book is intended to explore a multidisciplinary perspective to big data science in urban transportation, motivated by three critical observations: The rapid advances in the observability of assets, platforms for matching supply and demand, thereby allowing sharing networks previously unimaginable. The nearly universal agreement that data from multiple sources, such as cell phones, social media, taxis and transit systems can allow an understanding of infrastructure systems that is critically important to both quality of life and successful economic competition at the global, national, regional, and local levels. There is presently a lack of unifying principles and methodologies that approach big data urban systems. The workshop brought together varied perspectives from engineering, computational scientists, state and central government, social scientists, physicists, and network science experts to develop a unifying set of research challenges and methodologies that are likely to impact infrastructure systems with a particular focus on transportation issues. The book deals with the emerging topic of data science for cities, a central topic in the last five years that is expected to become critical in academia, industry, and the government in the future. There is currently limited literature for researchers to know the opportunities and state of the art in this emerging area, so this book fills a gap by synthesizing the state of the art from various scholars and help identify new research directions for further study.



Engineering Analytics

Author : Luis Rabelo

Publisher : CRC Press

Page : 218 pages

File Size : 16,32 MB

Release : 2021-09-27

Category : Technology & Engineering

ISBN : 1000453766

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Book Description

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.



Operational Research in the Era of Digital Transformation and Business Analytics

Author : Nikolaos F. Matsatsinis

Publisher : Springer Nature

Page : 283 pages

File Size : 44,89 MB

Release : 2023-04-04

Category : Business & Economics

ISBN : 3031242947

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Book Description

This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics. Featuring selected contributions from the XIV Balkan Conference on Operational Research held in Thessaloniki, Greece in 2020 (BALCOR 2020), it addresses applications and methodological tools or techniques in various areas of Operational Research, such as agent-based modelling, big data and business analytics, data envelopment analysis, data mining, decision support systems, fuzzy systems, game theory, heuristics, metaheuristics and nature inspired optimization algorithms, linear and nonlinear programming, machine learning, multiple criteria decision analysis, network design and optimization, queuing theory, simulation and statistics.



Managing Urban Logistics

Author : Rosario Macario

Publisher : Elsevier

Page : 286 pages

File Size : 32,42 MB

Release : 2023-06-15

Category : Business & Economics

ISBN : 0128144629

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Book Description

Managing Urban Logistics provides new insights based on the most recent research, theories, and developments in technological and ICT solutions, contemporary corporate trends, the re-evaluation of the role of authorities, and much more. The book shows how to manage these complex urban logistics issues using a long term, systemic perspective where urban freight distribution is an integral part of the entire urban mobility system. It examines the convergence points between mass and customized deliveries, thus modeling the decision processes, trade-offs and tolerances behind these processes to enable a more fluid sharing of urban space. Users will find an approach that tackles these issues from an empirical viewpoint that is based on analysis from a wide set of cases in urban environments around the world. A fresh and unique multidisciplinary approach that is based on solid theoretical background and a pragmatic management standpoint makes this book a must have for those involved in urban logistics. Blends theory with real-world cases to create viable solutions Uses an interdisciplinary approach to city logistics in a structured and organized way that is useful for all stakeholders Shows how to identify logistics profiles and build a logistical map of the city Examines the technological solutions that can be used to support different business models, adopting a rational, innovative, problem-solving approach to the movement of urban goods



Logic-Driven Traffic Big Data Analytics

Author : Shaopeng Zhong

Publisher : Springer Nature

Page : 296 pages

File Size : 19,22 MB

Release : 2022-02-01

Category : Business & Economics

ISBN : 9811680167

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Book Description

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.