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Visualizing urban mobility

Published: 21 July 2013 Publication History

Abstract

The goal of this research is understanding urban mobility through the visualization of the use of public transport systems. We focus on the visualization of anomalies regarding the number of passengers. To find patterns of use we analyze the raw data, which contains people counts for every bus stop in Coimbra. For each stop, and for each day of the week, we calculate the average number of passengers and its standard deviation for each 30 minute interval. This allows us to identify situations that deviate from the norm.

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Reference

[1]
Blinn, J. F. 1982. A Generalization of Algebraic Surface Drawing. ACM Transactions on Graphics 1 (3), 235--256.

Cited By

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  • (2024)Polyline Morphing for Animated Schematic MapsJournal of Geovisualization and Spatial Analysis10.1007/s41651-024-00198-w8:2Online publication date: 8-Oct-2024
  • (2023)ANTENNA: Visual Analytics of Mobility Derived from Cellphone DataComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-031-45725-8_7(135-160)Online publication date: 18-Oct-2023
  • (2019)Visualization of Urban Mobility Data from Intelligent Transportation SystemsSensors10.3390/s1902033219:2(332)Online publication date: 15-Jan-2019
  • Show More Cited By

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cover image ACM Conferences
SIGGRAPH '13: ACM SIGGRAPH 2013 Posters
July 2013
115 pages
ISBN:9781450323420
DOI:10.1145/2503385
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 21 July 2013

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

View all
  • (2024)Polyline Morphing for Animated Schematic MapsJournal of Geovisualization and Spatial Analysis10.1007/s41651-024-00198-w8:2Online publication date: 8-Oct-2024
  • (2023)ANTENNA: Visual Analytics of Mobility Derived from Cellphone DataComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-031-45725-8_7(135-160)Online publication date: 18-Oct-2023
  • (2019)Visualization of Urban Mobility Data from Intelligent Transportation SystemsSensors10.3390/s1902033219:2(332)Online publication date: 15-Jan-2019
  • (2017)Semantic integration of urban mobility data for supporting visualizationTransportation Research Procedia10.1016/j.trpro.2017.05.10624(180-188)Online publication date: 2017
  • (2016)OBAVUM: An ontology-based approach to visualizing urban mobility data2016 IEEE International Conference on Big Data Analysis (ICBDA)10.1109/ICBDA.2016.7509825(1-6)Online publication date: Mar-2016
  • (2015)Towards a Conceptual Framework for Classifying Visualisations of Data from Urban Mobility ServicesExploring Services Science10.1007/978-3-319-14980-6_18(228-242)Online publication date: 7-Jan-2015

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