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Modelling scenarios in planning for future employment growth in Stockholm
Transport and Systems Analysis, KTH Royal Institute of Technology, Sweden.
Transport and Systems Analysis, KTH Royal Institute of Technology, Sweden.
Transport and Systems Analysis, KTH Royal Institute of Technology, Sweden.
Transport and Systems Analysis, KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0001-5290-6101
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2024 (English)In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 120, article id 103966Article in journal (Refereed) Published
Abstract [en]

The City of Stockholm is conducting a scenario planning exercise to explore where potential future office development should be planned: closer to the city centre as in the status quo, in peripheral hubs on the outskirts of the city, or dispersed throughout multiple neighbourhoods. To support this exercise, this paper models these three scenarios using a nested work location and dynamic activity-based scheduling model. Our model predicts that high-income individuals have the highest consumer welfare benefits and are over-represented as workers in all scenarios. Developing more central office space will likely reinforce existing geographical patterns of income inequality in Stockholm; developing peripheral or dispersed office space, especially in the south of the city, will challenge these patterns. However, the model also illustrates a tension between the goals of equity and the environment. By taking advantage of existing transit infrastructure and congestion patterns, more central office development will result in lower vehicle kilometers travelled and lower car mode share for commuting than more peripheral or dispersed development. 

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 120, article id 103966
Keywords [en]
Activity-based model, Employment growth, Scenario planning, Spatial planning, Work location
National Category
Transport Systems and Logistics Infrastructure Engineering
Identifiers
URN: urn:nbn:se:his:diva-24441DOI: 10.1016/j.jtrangeo.2024.103966ISI: 001297565900001Scopus ID: 2-s2.0-85201207618OAI: oai:DiVA.org:his-24441DiVA, id: diva2:1891418
Note

CC BY 4.0

© 2024 The Authors

Correspondence Address: S. McCarthy; Transport and Systems Analysis, KTH Royal Institute of Technology, Sweden; email: smcc@kth.se

Available from: 2024-08-22 Created: 2024-08-22 Last updated: 2025-09-29Bibliographically approved

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Karlström, AndersBeser Hugosson, Muriel

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Citation style
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