Route Choice Modeling Using Gps Data
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| Author | : Constantinos Antoniou |
| Publisher | : Elsevier |
| Total Pages | : 0 |
| Release | : 2025-06-01 |
| Genre | : Business & Economics |
| ISBN | : 9780443267895 |
Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns-a key aspect of transportation modeling. It features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. The fields covered by this book are evolving rapidly and this new edition updates the existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning). Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. It bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.
| Author | : Phaedon Kyriakidis |
| Publisher | : Springer |
| Total Pages | : 365 |
| Release | : 2019-04-15 |
| Genre | : Science |
| ISBN | : 3030147452 |
This book includes the full research papers accepted by the scientific programme committee for the 22nd AGILE Conference on Geographic Information Science, held in June 2019 at Cyprus University of Technology, Limassol, Cyprus. It is intended primarily for professionals and researchers in geographic information science, as well as those in related fields in which geoinformation application plays a significant role.
| Author | : Wenzhong Shi |
| Publisher | : Springer Nature |
| Total Pages | : 941 |
| Release | : 2021-04-06 |
| Genre | : Social Science |
| ISBN | : 9811589836 |
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.
| Author | : P.H. Bovy |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 318 |
| Release | : 2012-12-06 |
| Genre | : Social Science |
| ISBN | : 9400906331 |
With the ever increasing number of opportunities, in every aspect of modem life, making choices becomes part of our daily routine. It is thus only natural that social scientists have started to study human choice behavior. Early efforts focused on modeling aggregate choice patterns of home buyers, shoppers, travelers, and others. Later studies, aiming to achieve more realistic results, have concentrated on simula ting disaggregate behavior. The most recent approach in choice research is the so-called Discrete Choice Modeling. It is a front-line area mainly in contemporary transportation, geography, and behavioral research. It focuses on individuals' decision-making processes regarding the choice of destinations, modes, departure times, and routes. Considerable research has been done on identifying and quantify ing the general rules governing the individuals' choice behavior, but to the best of our knowledge there is no single book that solely deals with route choice. The study of travelers' route choice in networks is primarily oriented towards gaining insight into their spatial choice behavior. How do people choose routes in a network, what do they know, what do they look for, which road characteristics playa role? On the basis of this information it is possible to design quantitative models aimed at predicting the use of routes dependent on the characteristics of the routes, those of the surrounding environment, and those of the travelers. In this way, traffic flows in the network can be calculated and the network performance can be evaluated.
| Author | : Cyclist |
| Publisher | : Hachette UK |
| Total Pages | : 340 |
| Release | : 2020-09-03 |
| Genre | : Sports & Recreation |
| ISBN | : 1784727261 |
Explore 50 of the greatest, most thrilling road cycling routes the world has to offer, guided by the experts at the world's biggest road cycling magazine. Route maps, first-hand ride reports and truly breathtaking photography from the finest cycling photographers come together in this celebration of the world on two wheels. Covering the very best of Europe, from the twisting trails of northern Norway to the winding coast of southern Spain, this beautiful book also includes rides from as far afield as Vietnam, Ethiopia and Lebanon, as well as the USA.
| Author | : Eduardo Lalla-Ruiz |
| Publisher | : Springer Nature |
| Total Pages | : 787 |
| Release | : 2020-09-26 |
| Genre | : Computers |
| ISBN | : 3030597474 |
This book constitutes the proceedings of the 11th International Conference on Computational Logistics, ICCL 2020, held in Enschede, The Netherlands, in September 2020. The 49 papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections named: maritime and port logistics; vehicle routing and scheduling; freight distribution and city logistics; network design and scheduling; and selected topics in logistics. Due to the Corona pandemic ICCL 2020 was held as a virtual event.
| Author | : Stephane Hess |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 322 |
| Release | : 2013-01-01 |
| Genre | : Business & Economics |
| ISBN | : 1781007276 |
'This collection of papers, by leading researchers in the field, provides an excellent view of the current state of research and applications. Exciting new techniques are presented, and realistic solutions are offered to issues that arise in applied work. It is an admirably rich volume, offering valuable insights for all readers of choice modeling.' Kenneth Train, University of California, Berkeley and NERA Economic Consulting, Inc., San Francisco, California, US 'I'm an enthusiastic fan of the ICMC, where researchers are friendly, genuinely interested in learning from and helping one another. There is much to learn because each discipline brings a different perspective to the field and to theoretical and applied problems in decision-making and choice behavior. The ICMC embodies the philosophy that most real choice problems are complex and require a cross-disciplinary approach. The papers in this volume represent an eclectic cross-section of the topics covered by key researchers in the field. I look forward to getting our PhD students and postdocs stuck into them.' Jordan Louviere, University of Technology Sydney, Australia Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference. Choice models explain the behaviour of individuals by quantifying their values, responses and perceptions of attributes describing the various options (alternatives) available to them. Policy makers and planners have long since recognised the potential of using choice models for guidance purposes, with applications in fields as diverse as transport analysis, healthcare, telecommunications, public service evaluation and energy. The unique mix of theoretical and applied chapters will appeal to academics, students, researchers and practitioners in various fields, as well as anyone with a general interest in the subject.
| Author | : Maria Stella Fiorenzo-Catalano |
| Publisher | : |
| Total Pages | : 344 |
| Release | : 2007 |
| Genre | : Choice of transportation |
| ISBN | : |
| Author | : Robin Lovelace |
| Publisher | : CRC Press |
| Total Pages | : 354 |
| Release | : 2019-03-22 |
| Genre | : Mathematics |
| ISBN | : 1351396900 |
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/.
| Author | : Yosef Sheffi |
| Publisher | : Prentice Hall |
| Total Pages | : 426 |
| Release | : 1984 |
| Genre | : Political Science |
| ISBN | : |
