Assessing Urban Transportation With Big Data Analysis
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| Author | : Dongyuan Yang |
| Publisher | : Springer Nature |
| Total Pages | : 349 |
| Release | : 2022-09-19 |
| Genre | : Science |
| ISBN | : 9811933383 |
This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
| Author | : Eftihia G. Nathanail |
| Publisher | : Springer |
| Total Pages | : 877 |
| Release | : 2018-12-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3030023052 |
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
| Author | : Moridpour, Sara |
| Publisher | : IGI Global |
| Total Pages | : 188 |
| Release | : 2019-01-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1522579443 |
Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
| Author | : Cengiz Kahraman |
| Publisher | : Springer |
| Total Pages | : 1386 |
| Release | : 2019-07-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3030237567 |
This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.
| Author | : Yilmaz, Zafer |
| Publisher | : IGI Global |
| Total Pages | : 422 |
| Release | : 2023-01-16 |
| Genre | : Business & Economics |
| ISBN | : 1668459981 |
The traditional urban transportation systems around the globe are now being transferred into green public transportation systems in an effort to mitigate CO2 emissions and provide nature-friendly transportation systems in cities and, ultimately, to increase citizens’ wellbeing. Furthermore, the cities are expected to transform their traditional transportation systems to cutting-edge high technology green transportation systems in the near future due to regulations applied by the related authorities such as the EU and UN. At the same time, cities are undergoing a transformation from traditional to smart cities, which is an inevitable process due to swift developments in technologies and smart systems. Sustainable public transportation systems must be developed and adjusted to be applicable in future smart cities. The Handbook of Research on Promoting Sustainable Public Transportation Strategies in Urban Environments considers the challenges and advantages of sustainable public transportation systems in urban areas and provides relevant theoretical frameworks, the latest empirical research findings, and an overview of the latest technological developments on the subject. Covering key topics such as green vehicles, sustainability, and walkable cities, this major reference work is ideal for policymakers, government officials, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
| Author | : Azzam Abu-Rayash |
| Publisher | : Elsevier |
| Total Pages | : 264 |
| Release | : 2024-08-13 |
| Genre | : Social Science |
| ISBN | : 0443141428 |
Smart City Assessment: A Novel Framework for Development and Evaluation of Smart Cities outlines a new assessment model for smart cities, including energy, environmental, and economic factors. It introduces a new paradigm to the understanding of smart cities by defining it using eight main domains, each domain using four specific performance indicators. This book defines a smart city as one with a smart environment, smart economy, smart society, smart culture, smart governance, smart energy, smart infrastructure, smart transportation, and one that is resilient to pandemics and global emergencies. This book begins by outlining these basic elements of a smart city, from sustainability to transportation networks. It then proposes a framework for evaluation, before analyzing both technological and socioeconomic factors in more detail. Central to the reader's understanding are the wide range of detailed case studies based on real-world cities, analyzing their smart-ness and demonstrating the application of a Smart City Index ranking based on the assessment criteria. The application of this novel and comprehensive methodology is applied on 20 cities worldwide and trends, relationships between indicators and domains are assessed to better understand the dynamic connections in this composite network of indicators. Providing the theoretical background as well as the practical assessment tools necessary, this book offers a timely discussion of the criteria and development for smart, sustainable urban living. - Offers a grounding in the fundamentals of smart city design and criteria, from environmental standards to energy needs for transport and infrastructure - Provides a brand-new model for assessing cities according to a Smart City Index, identifying gaps in sustainability and infrastructure - Illustrates the use of this assessment through multiple detailed real-world examples, including discussion of potential weightings - Discusses the impact of governance and policy on moving forwards
| Author | : Graham Currie |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 496 |
| Release | : 2021-04-30 |
| Genre | : Business & Economics |
| ISBN | : 1788978668 |
Providing a comprehensive overview and analysis of the latest research in the growing field of public transport studies, this Handbook looks at the impact of urbanisation and the growth of mega-cities on public transport. Chapters examine the significant challenges facing the field that require new and original solutions, including congestion and environmental relief, and the social equity objectives that justify public transport in cities.
| Author | : Ivana Cavar Semanjski |
| Publisher | : Elsevier |
| Total Pages | : 268 |
| Release | : 2023-02-08 |
| Genre | : Political Science |
| ISBN | : 0128208910 |
Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins explores the data-driven paradigm shift in urban mobility planning and examines how well-established practices and strong data analytics efforts can be better aligned to fit transport planning practices and "smart" mobility management needs. The book provides a comprehensive survey of the major big data and technology resources derived from smart cities research which are collectively poised to transform urban mobility. Chapters highlight the important aspects of each data source affecting applicability, along with the outcomes of smart mobility measures and campaigns.Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects will gain a better understanding of this up-and-coming research from this book's detailed overview and numerous practical examples and best practices for operational deployment. - Addresses key principles underlying smart mobility, as well as opportunities and challenges of integrating big data-driven insights into transport planning and smart cities - Presents practical advice on how to implement smart mobility advances, providing a benchmark reference by best practice examples in the field - Examines synthesis of existing gaps, limitations, and big data potential beyond traditional data needs for transport planning, as well as examples of the best practices
| Author | : Mashrur Chowdhury |
| Publisher | : Elsevier |
| Total Pages | : 346 |
| Release | : 2017-04-05 |
| Genre | : Business & Economics |
| ISBN | : 0128098511 |
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. - Includes case studies in each chapter that illustrate the application of concepts covered - Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies - Contains contributors from both leading academic and commercial researchers - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications
| Author | : Haoran Zhang |
| Publisher | : Elsevier |
| Total Pages | : 244 |
| Release | : 2023-01-29 |
| Genre | : Business & Economics |
| ISBN | : 0443184232 |
Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management—detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19—and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality. - Introduces MDM applications from six major areas: intelligent transportation management, shared transportation systems, disaster management, pandemic response, low-carbon transportation, and social equality - Uses case studies to examine possible solutions that facilitate ethical, secure, and controlled emergency management based on mobile big data - Helps develop policy innovations beneficial to citizens, businesses, and society - Stems from the editor's strong network of global transport authorities and transport companies, providing a solid knowledge structure and data foundation as well as geographical and stakeholder coverage
