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Signatur: LN-U 10-19936   QR-Code
Standort: Zweigstelle Neuenheim / Lehrbuchsammlung  3D-Plan
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Verfasst von:Phithakkitnukoon, Santi [VerfasserIn]   i
Titel:Urban informatics using mobile network data
Titelzusatz:travel behavior research perspectives
Verf.angabe:Santi Phithakkitnukoon
Verlagsort:Singapore
Verlag:Springer
E-Jahr:2023
Jahr:[2023]
Umfang:xiii, 241 Seiten
Illustrationen:Illustrationen, Diagramme, Karten
ISBN:978-981-19-6713-9
Abstract:This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is utilized in the mobility context, where approaches, models, and systems are developed for understanding travel behavior. The objectives of this book are thus to evaluate the extent to which mobile network data reflects travel behavior and to develop guidelines on how to best use such data to understand and model travel behavior. To achieve these objectives, the book attempts to evaluate the strengths and weaknesses of this data source for urban informatics and its applicability to the development and implementation of travel behavior models through a series of the authors' research studies.Traditionally, survey-based information is used as an input for travel demand models that predict future travel behavior and transportation needs. A survey-based approach is however costly and time-consuming, and hence its information can be dated and limited to a particular region. Mobile network data thus emerges as a promising alternative data source that is massive in both cross-sectional and longitudinal perspectives, and one that provides both broader geographic coverage of travelers and longer-term travel behavior observation. The two most common types of travel demand model that have played an essential role in managing and planning for transportation systems are four-step models and activity-based models. The book's chapters are structured on the basis of these travel demand models in order to provide researchers and practitioners with an understanding of urban informatics and the important role that mobile network data plays in advancing the state of the art from the perspectives of travel behavior research
URL:Cover: http://www.dietmardreier.de/annot/4B56696D677C7C39363037303034337C7C434F50.jpg?sq=6
Schlagwörter:(s)Verkehrswissenschaft   i / (s)Data Mining   i / (s)Verkehrsplanung   i
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Online-Ausgabe: Phithakkitnukoon, Santi: Urban Informatics Using Mobile Network Data. - 1st ed. 2023.. - Singapore : Springer Nature Singapore, 2023. - 1 Online-Ressource(XIII, 241 p. 1 illus.)
Sach-SW:Algorithms & data structures
 Artificial intelligence
 COMPUTERS / Artificial Intelligence
 COMPUTERS / Data Processing / General
 COMPUTERS / Database Management / Data Mining
 COMPUTERS / Information Theory
 Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
 Data Mining
 Data mining
 Datenbanken
 Highway & traffic engineering
 Information technology: general issues
 MATHEMATICS / Probability & Statistics / General
 Probability & statistics
 TECHNOLOGY & ENGINEERING / Civil / General
 Verkehrsingenieurwesen, Verkehrsplanung
 Wahrscheinlichkeitsrechnung und Statistik
 Wissensbasierte Systeme, Expertensysteme
K10plus-PPN:1824485727
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Mediennummer: 20221665

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