Visualising Melbourne pedestrian count

Humphrey O. Obie; Caslon Chua; Iman Avazpour; Mohamed Abdelrazek; John Grundy

doi:10.1109/VLHCC.2017.8103501

Visualising Melbourne pedestrian count

Humphrey O. Obie, Caslon Chua, Iman Avazpour, Mohamed Abdelrazek, John Grundy

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

6 Citations (Scopus)

Abstract

We present a visualisation of Melbourne pedestrian count data and a visual metaphor for representing hour-level temporal dimension in this context. The pedestrian count data is captured from sensors located around the city. A visualisation web application is implemented that incorporates a thematic map of these sensor locations with a 24-hour clocklike polygon that shows pedestrian counts at every hour, and alongside a display of daily temperature. Our visualisation allows users to analyse how the city is used by pedestrians. Moreover, the design of our visualisation was driven by the type of analysis tasks carried out by city planners. The visualisation would help city planners better understand the dynamics of pedestrian activity within the city and aid them in urban management and design policy recommendation.

Original language	English
Title of host publication	Proceedings - 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - VL/HCC 2017
Editors	Austin Z. Henley, Peter Rogers, Anita Sarma
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	343-344
Number of pages	2
ISBN (Electronic)	9781538604434
ISBN (Print)	9781538604441
DOIs	https://doi.org/10.1109/VLHCC.2017.8103501
Publication status	Published - 2017
Externally published	Yes
Event	IEEE Symposium on Visual Languages and Human-Centric Computing 2017 - Raleigh, United States of America Duration: 11 Oct 2017 → 14 Oct 2017 https://sites.google.com/site/vlhcc2017/home https://ieeexplore.ieee.org/xpl/conhome/8094484/proceeding (Proceedings)

Conference

Conference	IEEE Symposium on Visual Languages and Human-Centric Computing 2017
Abbreviated title	VL/HCC 2017
Country/Territory	United States of America
City	Raleigh
Period	11/10/17 → 14/10/17
Internet address	https://sites.google.com/site/vlhcc2017/home https://ieeexplore.ieee.org/xpl/conhome/8094484/proceeding (Proceedings)

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10.1109/VLHCC.2017.8103501

Cite this

Obie, H. O., Chua, C., Avazpour, I., Abdelrazek, M., & Grundy, J. (2017). Visualising Melbourne pedestrian count. In A. Z. Henley, P. Rogers, & A. Sarma (Eds.), Proceedings - 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - VL/HCC 2017 (pp. 343-344). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VLHCC.2017.8103501

@inproceedings{cbcf0877c33e477db5d59a0c14b6cde9,

title = "Visualising Melbourne pedestrian count",

abstract = "We present a visualisation of Melbourne pedestrian count data and a visual metaphor for representing hour-level temporal dimension in this context. The pedestrian count data is captured from sensors located around the city. A visualisation web application is implemented that incorporates a thematic map of these sensor locations with a 24-hour clocklike polygon that shows pedestrian counts at every hour, and alongside a display of daily temperature. Our visualisation allows users to analyse how the city is used by pedestrians. Moreover, the design of our visualisation was driven by the type of analysis tasks carried out by city planners. The visualisation would help city planners better understand the dynamics of pedestrian activity within the city and aid them in urban management and design policy recommendation.",

author = "Obie, {Humphrey O.} and Caslon Chua and Iman Avazpour and Mohamed Abdelrazek and John Grundy",

year = "2017",

doi = "10.1109/VLHCC.2017.8103501",

language = "English",

isbn = "9781538604441",

pages = "343--344",

editor = "{Z. Henley}, {Austin } and Rogers, {Peter } and Anita Sarma",

booktitle = "Proceedings - 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - VL/HCC 2017",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE Symposium on Visual Languages and Human-Centric Computing 2017, VL/HCC 2017 ; Conference date: 11-10-2017 Through 14-10-2017",

url = "https://sites.google.com/site/vlhcc2017/home, https://ieeexplore.ieee.org/xpl/conhome/8094484/proceeding",

}

Obie, HO, Chua, C, Avazpour, I, Abdelrazek, M & Grundy, J 2017, Visualising Melbourne pedestrian count. in A Z. Henley, P Rogers & A Sarma (eds), Proceedings - 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - VL/HCC 2017. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 343-344, IEEE Symposium on Visual Languages and Human-Centric Computing 2017, Raleigh, North Carolina, United States of America, 11/10/17. https://doi.org/10.1109/VLHCC.2017.8103501

Visualising Melbourne pedestrian count. / Obie, Humphrey O.; Chua, Caslon; Avazpour, Iman et al.
Proceedings - 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - VL/HCC 2017. ed. / Austin Z. Henley; Peter Rogers; Anita Sarma. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 343-344.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

TY - GEN

T1 - Visualising Melbourne pedestrian count

AU - Obie, Humphrey O.

AU - Chua, Caslon

AU - Avazpour, Iman

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AB - We present a visualisation of Melbourne pedestrian count data and a visual metaphor for representing hour-level temporal dimension in this context. The pedestrian count data is captured from sensors located around the city. A visualisation web application is implemented that incorporates a thematic map of these sensor locations with a 24-hour clocklike polygon that shows pedestrian counts at every hour, and alongside a display of daily temperature. Our visualisation allows users to analyse how the city is used by pedestrians. Moreover, the design of our visualisation was driven by the type of analysis tasks carried out by city planners. The visualisation would help city planners better understand the dynamics of pedestrian activity within the city and aid them in urban management and design policy recommendation.

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Visualising Melbourne pedestrian count

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