Achieving collaboration between local and regional governments aiming to stagger school starting hours

The peak-hour travel demand is the most important operational cost driver for public transport in Sweden. Implementing staggered school starting hours as a measure to spread out the travel demand has proven to be challenging. This study focuses on overcoming barriers to collaboration between public transport authorities, municipalities, and schools concerning school transport planning and school operations scheduling in order to reduce public transport costs. Data was collected through semi-structured interviews with individuals with experience in introducing staggered school starting hours. The Institutional Collective Action (ICA) framework was utilised to identify the barriers to collaboration. The paper discusses methods for overcoming these barriers and concludes with actions such as involving all stakeholders in the problem formulation, increasing knowledge of stakeholders’ operations and planning procedures, providing incentives for all actors, and safeguarding the autonomy of each actor. Insights that could also be applied to collaboration with other actors, e.g., workplaces, aiming to stagger commuter peak-hour demand. The study advances the empirical application of the ICA framework by applying it in a Swedish context, in the field of transport planning, and with stakeholders who do not perceive the issue at hand as a problem and lack commitment to finding a joint solution.

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Institutions

Publication Details

Journal
Research in Transportation Economics
Published
2025-08-30
DOI
https://doi.org/10.1016/j.retrec.2025.101629
Citations
1
Primary Topic
Education Systems and Policy
Type
article
Field-Weighted Citation Impact
8.93
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article

Achieving collaboration between local and regional governments aiming to stagger school starting hours

Eva-Lena Eriksson, Lena Winslott Hiselius, Helene Lidestam
1 citations
Research in Transportation Economics
Education Systems and Policy
8.93
article

Achieving collaboration between local and regional governments aiming to stagger school starting hours

Eva-Lena Eriksson, Lena Winslott Hiselius, Helene Lidestam
article en
1 citations

Abstract

The peak-hour travel demand is the most important operational cost driver for public transport in Sweden. Implementing staggered school starting hours as a measure to spread out the travel demand has proven to be challenging. This study focuses on overcoming barriers to collaboration between public transport authorities, municipalities, and schools concerning school transport planning and school operations scheduling in order to reduce public transport costs. Data was collected through semi-structured interviews with individuals with experience in introducing staggered school starting hours. The Institutional Collective Action (ICA) framework was utilised to identify the barriers to collaboration. The paper discusses methods for overcoming these barriers and concludes with actions such as involving all stakeholders in the problem formulation, increasing knowledge of stakeholders’ operations and planning procedures, providing incentives for all actors, and safeguarding the autonomy of each actor. Insights that could also be applied to collaboration with other actors, e.g., workplaces, aiming to stagger commuter peak-hour demand. The study advances the empirical application of the ICA framework by applying it in a Swedish context, in the field of transport planning, and with stakeholders who do not perceive the issue at hand as a problem and lack commitment to finding a joint solution.

Research in Transportation EconomicsVol. 113
Linköping University (SE), Lund University (SE), Knowledge Foundation (SE), Swedish National Road and Transport Research Institute (SE)
Openalex Percentile: Top 3%
Education Systems and Policy
8.93
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Achieving collaboration between local and regional governments aiming to stagger school starting hours — Eva-Lena Eriksson, Lena Winslott Hiselius, et al. · Research in Transportation Economics (2025) | TGRS Research Map | TGRS