Data-Driven Agent-Based Model of Intra-Urban Activities

Shuhui Gong; John Cartlidge; Ruibin Bai; Yang Yue; Qingquan Li; Guoping Qiu

doi:10.1109/ICBDA49040.2020.9101327

Data-Driven Agent-Based Model of Intra-Urban Activities

Shuhui Gong, John Cartlidge, Ruibin Bai, Yang Yue, Qingquan Li, Guoping Qiu

School of Computer Science

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

We propose an agent-based model (ABM) to simulate city-scale intra-urban activities and movements. We calibrate the ABM for New York City, using NYC Open Data trip diaries and taxi journeys. Model validation demonstrates that the ABM is able to accurately predict activity demand across the city. Further, when a new hospital wing is opened in Queens, a central district of New York City, the ABM is shown to accurately predict increased shopping demand on Staten Island, an isolated area located at the edge of the city. This demonstrates the value of applying ABM to simulate intra-urban movements and activities, offering dynamic scenario testing that is not available in many other forms of modelling.

Original language	English
Title of host publication	2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	160-166
Number of pages	7
ISBN (Electronic)	9781728141114
DOIs	https://doi.org/10.1109/ICBDA49040.2020.9101327
Publication status	Published - May 2020
Event	5th IEEE International Conference on Big Data Analytics, ICBDA 2020 - Xiamen, China Duration: 8 May 2020 → 11 May 2020

Publication series

Name	2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020

Conference

Conference	5th IEEE International Conference on Big Data Analytics, ICBDA 2020
Country/Territory	China
City	Xiamen
Period	8/05/20 → 11/05/20

Keywords

activity analysis
agent-based modeling
travel behaviour analysis

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Information Systems and Management
Statistics, Probability and Uncertainty

Access to Document

10.1109/ICBDA49040.2020.9101327

Cite this

Gong, S., Cartlidge, J., Bai, R., Yue, Y., Li, Q., & Qiu, G. (2020). Data-Driven Agent-Based Model of Intra-Urban Activities. In 2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020 (pp. 160-166). Article 9101327 (2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBDA49040.2020.9101327

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title = "Data-Driven Agent-Based Model of Intra-Urban Activities",

abstract = "We propose an agent-based model (ABM) to simulate city-scale intra-urban activities and movements. We calibrate the ABM for New York City, using NYC Open Data trip diaries and taxi journeys. Model validation demonstrates that the ABM is able to accurately predict activity demand across the city. Further, when a new hospital wing is opened in Queens, a central district of New York City, the ABM is shown to accurately predict increased shopping demand on Staten Island, an isolated area located at the edge of the city. This demonstrates the value of applying ABM to simulate intra-urban movements and activities, offering dynamic scenario testing that is not available in many other forms of modelling.",

keywords = "activity analysis, agent-based modeling, travel behaviour analysis",

author = "Shuhui Gong and John Cartlidge and Ruibin Bai and Yang Yue and Qingquan Li and Guoping Qiu",

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year = "2020",

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doi = "10.1109/ICBDA49040.2020.9101327",

language = "English",

series = "2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020",

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Gong, S, Cartlidge, J, Bai, R, Yue, Y, Li, Q & Qiu, G 2020, Data-Driven Agent-Based Model of Intra-Urban Activities. in 2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020., 9101327, 2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020, Institute of Electrical and Electronics Engineers Inc., pp. 160-166, 5th IEEE International Conference on Big Data Analytics, ICBDA 2020, Xiamen, China, 8/05/20. https://doi.org/10.1109/ICBDA49040.2020.9101327

Data-Driven Agent-Based Model of Intra-Urban Activities. / Gong, Shuhui; Cartlidge, John; Bai, Ruibin et al.
2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 160-166 9101327 (2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Gong S, Cartlidge J, Bai R, Yue Y, Li Q, Qiu G. Data-Driven Agent-Based Model of Intra-Urban Activities. In 2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 160-166. 9101327. (2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020). doi: 10.1109/ICBDA49040.2020.9101327

Data-Driven Agent-Based Model of Intra-Urban Activities

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Keywords

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