Dynamics in Mode Choice Behaviour

Marie-José Olde Kalter

doi:10.3990/1.9789055843022

Dynamics in Mode Choice Behaviour

Marie-José Olde Kalter

Research output: Thesis › PhD Thesis - Research UT, graduation UT

491 Downloads (Pure)

Abstract

To reverse the worrying long-term trends of growing mobility, such as congestion and CO2 emissions, policy makers try to encourage mode shifts from car use to public transport, cycling and walking. Panel data analyses provide insights into the dynamics in mode choice behaviour. Results show that behavioural changes often precede changes in attitudes and preferences. Therefore, policy makers should focus on interventions aimed directly at the desired behavioural changes.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	Geurs, Karst, Supervisor
Award date	5 Nov 2021
Place of Publication	Delft
Publisher	TRAIL Research School
Print ISBNs	978-90-5584-302-2
DOIs	https://doi.org/10.3990/1.9789055843022
Publication status	Published - 5 Nov 2021

Keywords

Travel behaviour
Panel data
Longitudinal data analysis
Mode Choice Behaviour
Structural equation modeling
Cross-lagged panel models
Latent class models
Latent transition analysis
Covid-19
Commuting behaivour
Sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3990/1.9789055843022

Phd thesis M.J.T Olde KalterFinal published version, 1.94 MB

8 Article
6 Conference contribution

Changing mobility patterns in the Netherlands during COVID-19 outbreak
van der Drift, S., Wismans, L. & Olde Kalter, M.-J., 2022, In: Journal of location based services. 16, 1, p. 1-24 24 p.
Research output: Contribution to journal › Article › Academic › peer-review
27 Citations (Scopus)
Exploring the relationship between life events, mode preferences and mode use of young adults: A 3-year cross-lagged panel analysis in the Netherlands
Olde Kalter, M.-J., La Paix Puello, L. & Geurs, K. T., 1 Jul 2021, In: Travel behaviour and society. 24, p. 195-204 10 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
18 Citations (Scopus)

226 Downloads (Pure)
Do changes in travellers’ attitudes towards car use and ownership over time affect travel mode choice? A latent transition approach in the Netherlands
Olde Kalter, M. J., La Paix Puello, L. & Geurs, K. T., Feb 2020, In: Transportation Research Part A: Policy and Practice. 132, p. 1-17 17 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
21 Citations (Scopus)

292 Downloads (Pure)

Cite this

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title = "Dynamics in Mode Choice Behaviour",

abstract = "To reverse the worrying long-term trends of growing mobility, such as congestion and CO2 emissions, policy makers try to encourage mode shifts from car use to public transport, cycling and walking. Panel data analyses provide insights into the dynamics in mode choice behaviour. Results show that behavioural changes often precede changes in attitudes and preferences. Therefore, policy makers should focus on interventions aimed directly at the desired behavioural changes.",

keywords = "Travel behaviour, Panel data, Longitudinal data analysis, Mode Choice Behaviour, Structural equation modeling, Cross-lagged panel models, Latent class models, Latent transition analysis, Covid-19, Commuting behaivour, Sustainability",

author = "{Olde Kalter}, Marie-Jos{\'e}",

note = "Marie-Jos{\'e} Olde Kalter carried out, parallel to her work as a consultant at Goudappel, her PhD-research from 2014-2021 at the Centre of Transport Studies, University of Twente. Her research focus is dynamics in travel behaviour.",

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AU - Olde Kalter, Marie-José

N1 - Marie-José Olde Kalter carried out, parallel to her work as a consultant at Goudappel, her PhD-research from 2014-2021 at the Centre of Transport Studies, University of Twente. Her research focus is dynamics in travel behaviour.

PY - 2021/11/5

Y1 - 2021/11/5

N2 - To reverse the worrying long-term trends of growing mobility, such as congestion and CO2 emissions, policy makers try to encourage mode shifts from car use to public transport, cycling and walking. Panel data analyses provide insights into the dynamics in mode choice behaviour. Results show that behavioural changes often precede changes in attitudes and preferences. Therefore, policy makers should focus on interventions aimed directly at the desired behavioural changes.

AB - To reverse the worrying long-term trends of growing mobility, such as congestion and CO2 emissions, policy makers try to encourage mode shifts from car use to public transport, cycling and walking. Panel data analyses provide insights into the dynamics in mode choice behaviour. Results show that behavioural changes often precede changes in attitudes and preferences. Therefore, policy makers should focus on interventions aimed directly at the desired behavioural changes.

KW - Travel behaviour

KW - Panel data

KW - Longitudinal data analysis

KW - Mode Choice Behaviour

KW - Structural equation modeling

KW - Cross-lagged panel models

KW - Latent class models

KW - Latent transition analysis

KW - Covid-19

KW - Commuting behaivour

KW - Sustainability

U2 - 10.3990/1.9789055843022

DO - 10.3990/1.9789055843022

M3 - PhD Thesis - Research UT, graduation UT

SN - 978-90-5584-302-2

T3 - TRAIL Thesis Series

PB - TRAIL Research School

CY - Delft

ER -

Dynamics in Mode Choice Behaviour

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Research output

Changing mobility patterns in the Netherlands during COVID-19 outbreak

Exploring the relationship between life events, mode preferences and mode use of young adults: A 3-year cross-lagged panel analysis in the Netherlands

Do changes in travellers’ attitudes towards car use and ownership over time affect travel mode choice? A latent transition approach in the Netherlands

Cite this