Urban Informatics Using Mobile Network Data (Record no. 14932)

MARC details
000 -LEADER
fixed length control field 03154nam a2200385Ia 4500
000 - LEADER
fixed length control field 04197nam a22004215i 4500
001 - CONTROL NUMBER
control field 978-981-19-6714-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120751.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221129s2023 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811967146
-- 978-981-19-6714-6
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 5.7
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Phithakkitnukoon, Santi.
9 (RLIN) 28140
245 ## - TITLE STATEMENT
Title Urban Informatics Using Mobile Network Data
Statement of responsibility, etc. by Santi Phithakkitnukoon.
Medium [electronic resource] :
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore
Name of publisher, distributor, etc. Springer Nature Singapore
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 241 p. 1 illus.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
9 (RLIN) 28141
Topical term or geographic name entry element Computer Application in Social and Behavioral Sciences.
9 (RLIN) 28142
Topical term or geographic name entry element Data Analysis and Big Data.
9 (RLIN) 28143
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
9 (RLIN) 28144
Topical term or geographic name entry element Data mining.
9 (RLIN) 28145
Topical term or geographic name entry element Data Science.
9 (RLIN) 28146
Topical term or geographic name entry element Methodology of Data Collection and Processing.
9 (RLIN) 28147
Topical term or geographic name entry element Quantitative research.
9 (RLIN) 28148
Topical term or geographic name entry element Sampling (Statistics).
9 (RLIN) 28149
Topical term or geographic name entry element Social sciences
9 (RLIN) 28150
Topical term or geographic name entry element Traffic engineering.
9 (RLIN) 28151
Topical term or geographic name entry element Transportation engineering.
9 (RLIN) 28152
Topical term or geographic name entry element Transportation Technology and Traffic Engineering.
9 (RLIN) 28153
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-19-6714-6">https://doi.org/10.1007/978-981-19-6714-6</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB1918 2024-03-19 2024-03-19 e-Book Platform:Springer