Author: Dongyuan Yang
Publisher: Springer Nature
ISBN: 9811933383
Category : Science
Languages : en
Pages : 349
Book Description
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.
Assessing Urban Transportation with Big Data Analysis
Author: Dongyuan Yang
Publisher: Springer Nature
ISBN: 9811933383
Category : Science
Languages : en
Pages : 349
Book Description
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.
Publisher: Springer Nature
ISBN: 9811933383
Category : Science
Languages : en
Pages : 349
Book Description
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.
Data Analytics: Paving the Way to Sustainable Urban Mobility
Author: Eftihia G. Nathanail
Publisher: Springer
ISBN: 3030023052
Category : Technology & Engineering
Languages : en
Pages : 877
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
Publisher: Springer
ISBN: 3030023052
Category : Technology & Engineering
Languages : en
Pages : 877
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
Transportation Analytics in the Era of Big Data
Author: Satish V. Ukkusuri
Publisher: Springer
ISBN: 3319758624
Category : Business & Economics
Languages : en
Pages : 240
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.
Publisher: Springer
ISBN: 3319758624
Category : Business & Economics
Languages : en
Pages : 240
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.
Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities
Author: Moridpour, Sara
Publisher: IGI Global
ISBN: 1522579443
Category : Technology & Engineering
Languages : en
Pages : 197
Book Description
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.
Publisher: IGI Global
ISBN: 1522579443
Category : Technology & Engineering
Languages : en
Pages : 197
Book Description
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.
Smart City Assessment
Author: Azzam Abu-Rayash
Publisher: Elsevier
ISBN: 0443141428
Category : Social Science
Languages : en
Pages : 264
Book Description
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
Publisher: Elsevier
ISBN: 0443141428
Category : Social Science
Languages : en
Pages : 264
Book Description
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
Handbook of Research on Promoting Sustainable Public Transportation Strategies in Urban Environments
Author: Yilmaz, Zafer
Publisher: IGI Global
ISBN: 1668459981
Category : Business & Economics
Languages : en
Pages : 422
Book Description
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.
Publisher: IGI Global
ISBN: 1668459981
Category : Business & Economics
Languages : en
Pages : 422
Book Description
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.
Cyber Society, Big Data, and Evaluation
Author: Gustav Jakob Petersson
Publisher: Routledge
ISBN: 135152383X
Category : Political Science
Languages : en
Pages : 331
Book Description
We are living in a cyber society. Mobile devices, social media, the Internet, crime cameras, and other diverse sources can be pulled together to form massive datasets, known as big data, which make it possible to learn things we could not begin to comprehend otherwise. While private companies are using this macroscopic tool, policy-makers and evaluators have been slower to adopt big data to make and evaluate public policy. Cyber Society, Big Data, and Evaluation shows ways big data is now being used in policy evaluation and discusses how it will transform the role of evaluators in the future. Arguing that big data will play a permanent and growing role in policy evaluation, especially since results may be delivered almost in real time, the contributors declare that the evaluation community must rise to the challenge or risk being marginalized. This volume suggests that evaluators must redefine their tools in relation to big data, obtain competencies necessary to work with it, and collaborate with professionals already experienced in using big data. By adding evaluators' expertise, for example, in theory- driven evaluation, using repositories, making value judgements, and applying findings, policy-makers and evaluators can come to make better-informed decisions and policies.
Publisher: Routledge
ISBN: 135152383X
Category : Political Science
Languages : en
Pages : 331
Book Description
We are living in a cyber society. Mobile devices, social media, the Internet, crime cameras, and other diverse sources can be pulled together to form massive datasets, known as big data, which make it possible to learn things we could not begin to comprehend otherwise. While private companies are using this macroscopic tool, policy-makers and evaluators have been slower to adopt big data to make and evaluate public policy. Cyber Society, Big Data, and Evaluation shows ways big data is now being used in policy evaluation and discusses how it will transform the role of evaluators in the future. Arguing that big data will play a permanent and growing role in policy evaluation, especially since results may be delivered almost in real time, the contributors declare that the evaluation community must rise to the challenge or risk being marginalized. This volume suggests that evaluators must redefine their tools in relation to big data, obtain competencies necessary to work with it, and collaborate with professionals already experienced in using big data. By adding evaluators' expertise, for example, in theory- driven evaluation, using repositories, making value judgements, and applying findings, policy-makers and evaluators can come to make better-informed decisions and policies.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
Author: Cengiz Kahraman
Publisher: Springer
ISBN: 3030237567
Category : Technology & Engineering
Languages : en
Pages : 1386
Book Description
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.
Publisher: Springer
ISBN: 3030237567
Category : Technology & Engineering
Languages : en
Pages : 1386
Book Description
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.
Handbook of Public Transport Research
Author: Graham Currie
Publisher: Edward Elgar Publishing
ISBN: 1788978668
Category : Business & Economics
Languages : en
Pages : 496
Book Description
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.
Publisher: Edward Elgar Publishing
ISBN: 1788978668
Category : Business & Economics
Languages : en
Pages : 496
Book Description
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.
Smart Urban Mobility
Author: Ivana Cavar Semanjski
Publisher: Elsevier
ISBN: 0128208910
Category : Political Science
Languages : en
Pages : 268
Book Description
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
Publisher: Elsevier
ISBN: 0128208910
Category : Political Science
Languages : en
Pages : 268
Book Description
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