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Web-based Visualization of Daily Mobility Patterns in R

von Schmidt, Antje and Cyganski, Rita and Heinrichs, Matthias (2019) Web-based Visualization of Daily Mobility Patterns in R. International Journal on Advances in Internet Technology, 12 (3 & 4), pp. 76-85. IARIA. ISSN 1942-2652

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Official URL: http://www.thinkmind.org/index.php?view=article&articleid=inttech_v12_n34_2019_2

Abstract

Human mobility reflects how, when, where and why people move from one location to another. Transport demand models can provide answers to these questions. Such models usually require a large amount of data as input and provide detailed information about the trips made by each individual during a day. Exploring this data can become very complex. Usually, several types of aggregation and disaggregation are performed on a spatial, temporal or demographic level. Often a variety of tools is used for analyzing, communicating and validating the data. This paper introduces an interactive and scalable web application for analyzing, communicating and validating the data of a transport model. The presented approach could also be used within a different research domain. Therefore, recommendations and implementation notes are given on how such an application can be realized in R. A special focus is set on the representation of daily mobility patterns within this application.

Item URL in elib:https://elib.dlr.de/133599/
Document Type:Article
Title:Web-based Visualization of Daily Mobility Patterns in R
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
von Schmidt, Antjeantje.vonschmidt (at) dlr.dehttps://orcid.org/0000-0003-1017-7937
Cyganski, RitaRita.Cyganski (at) dlr.dehttps://orcid.org/0000-0002-5744-1427
Heinrichs, MatthiasMatthias.Heinrichs (at) dlr.dehttps://orcid.org/0000-0002-0175-2787
Date:30 December 2019
Journal or Publication Title:International Journal on Advances in Internet Technology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:12
Page Range:pp. 76-85
Publisher:IARIA
ISSN:1942-2652
Status:Published
Keywords:transport demand; daily mobility patterns; visualization; R; Shiny
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - UrMo Digital
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research
Institute of Transport Research > Mobility and Urban Development
Deposited By: von Schmidt, Antje
Deposited On:20 Jan 2020 09:10
Last Modified:20 Jan 2020 09:10

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