Data-based Synthetic Population Generator for Activity Based Transport Models

Petr Hajduk; Claudio Roncoli; Mikko Pihlatie

Data-based Synthetic Population Generator for Activity Based Transport Models

Petr Hajduk (Corresponding author), Claudio Roncoli, Mikko Pihlatie

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Scientific

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Abstract

Transport models are a key to understanding the mobility inside cities. Despite the fact that activity-based transport models offer better level of detail and finer interactions compared to four-step models, they lack a suitable methodology for creating a meaningful population out of open data without the burden of privacy sensitivity. This paper is trying to bridge this gap by introducing a new methodology and its implementation for the Capital Region of Helsinki, Finland. The generated population is finally tested as a part of activity-based transport model for the same area. Results show that generating the population solely from open aggregated data is possible and shows good correlation with the observed data.

Original language	English
Title of host publication	Proceedings of TRA2020, the 8th Transport Research Arena
Subtitle of host publication	Rethinking transport – towards clean and inclusive mobility
Editors	Toni Lusikka
Publisher	Liikenne- ja viestintävirasto Traficom
Chapter	9
Pages	58-59
Number of pages	2
ISBN (Electronic)	978-952-311-484-5
Publication status	Published - 26 Apr 2020
MoE publication type	Not Eligible
Event	8th Transport Research Arena, TRA 2020 - Conference cancelled - Helsinki, Finland Duration: 27 Apr 2020 → 30 Apr 2020 https://traconference.eu/overview/

Publication series

Series	Traficom Research Reports
Number	7
ISSN	2660-8781

Conference

Conference	8th Transport Research Arena, TRA 2020 - Conference cancelled
Abbreviated title	TRA 2020
Country/Territory	Finland
City	Helsinki
Period	27/04/20 → 30/04/20
Internet address	https://traconference.eu/overview/

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TRA2020_15102019_Hajduk_v2Accepted author manuscript, 1.03 MBLicence: Unspecified

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Hajduk, Petr ; Roncoli, Claudio ; Pihlatie, Mikko. / Data-based Synthetic Population Generator for Activity Based Transport Models. Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility. editor / Toni Lusikka. Liikenne- ja viestintävirasto Traficom, 2020. pp. 58-59 (Traficom Research Reports; No. 7).

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title = "Data-based Synthetic Population Generator for Activity Based Transport Models",

abstract = "Transport models are a key to understanding the mobility inside cities. Despite the fact that activity-based transport models offer better level of detail and finer interactions compared to four-step models, they lack a suitable methodology for creating a meaningful population out of open data without the burden of privacy sensitivity. This paper is trying to bridge this gap by introducing a new methodology and its implementation for the Capital Region of Helsinki, Finland. The generated population is finally tested as a part of activity-based transport model for the same area. Results show that generating the population solely from open aggregated data is possible and shows good correlation with the observed data. ",

author = "Petr Hajduk and Claudio Roncoli and Mikko Pihlatie",

year = "2020",

month = apr,

day = "26",

language = "English",

series = "Traficom Research Reports",

publisher = "Liikenne- ja viestint{\"a}virasto Traficom",

number = "7",

pages = "58--59",

editor = "Toni Lusikka",

booktitle = "Proceedings of TRA2020, the 8th Transport Research Arena",

address = "Finland",

note = "8th Transport Research Arena, TRA 2020 - Conference cancelled, TRA 2020 ; Conference date: 27-04-2020 Through 30-04-2020",

url = "https://traconference.eu/overview/",

}

Hajduk, P, Roncoli, C & Pihlatie, M 2020, Data-based Synthetic Population Generator for Activity Based Transport Models. in T Lusikka (ed.), Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility. Liikenne- ja viestintävirasto Traficom, Traficom Research Reports, no. 7, pp. 58-59, 8th Transport Research Arena, TRA 2020 - Conference cancelled, Helsinki, Finland, 27/04/20.

Data-based Synthetic Population Generator for Activity Based Transport Models. / Hajduk, Petr (Corresponding author); Roncoli, Claudio; Pihlatie, Mikko.
Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility. ed. / Toni Lusikka. Liikenne- ja viestintävirasto Traficom, 2020. p. 58-59 (Traficom Research Reports; No. 7).

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Scientific

TY - CHAP

T1 - Data-based Synthetic Population Generator for Activity Based Transport Models

AU - Hajduk, Petr

AU - Roncoli, Claudio

AU - Pihlatie, Mikko

PY - 2020/4/26

Y1 - 2020/4/26

N2 - Transport models are a key to understanding the mobility inside cities. Despite the fact that activity-based transport models offer better level of detail and finer interactions compared to four-step models, they lack a suitable methodology for creating a meaningful population out of open data without the burden of privacy sensitivity. This paper is trying to bridge this gap by introducing a new methodology and its implementation for the Capital Region of Helsinki, Finland. The generated population is finally tested as a part of activity-based transport model for the same area. Results show that generating the population solely from open aggregated data is possible and shows good correlation with the observed data.

AB - Transport models are a key to understanding the mobility inside cities. Despite the fact that activity-based transport models offer better level of detail and finer interactions compared to four-step models, they lack a suitable methodology for creating a meaningful population out of open data without the burden of privacy sensitivity. This paper is trying to bridge this gap by introducing a new methodology and its implementation for the Capital Region of Helsinki, Finland. The generated population is finally tested as a part of activity-based transport model for the same area. Results show that generating the population solely from open aggregated data is possible and shows good correlation with the observed data.

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M3 - Conference abstract in proceedings

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EP - 59

BT - Proceedings of TRA2020, the 8th Transport Research Arena

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PB - Liikenne- ja viestintävirasto Traficom

T2 - 8th Transport Research Arena, TRA 2020 - Conference cancelled

Y2 - 27 April 2020 through 30 April 2020

ER -

Data-based Synthetic Population Generator for Activity Based Transport Models

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