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Accessibility measures and indicators: A basis for dynamic simulations to improve regional planning
Mid Sweden University, Sundsvall, Sweden.
Mid Sweden University, Sundsvall, Sweden.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Mid Sweden University, Sundsvall, Sweden.ORCID iD: 0000-0003-0310-0018
Number of Authors: 32023 (English)In: Intelligent Decision Technologies: Proceedings of the 15th KES-IDT 2023 Conference / [ed] Ireneusz Czarnowski; R.J. Howlett; Lakhmi C. Jain, Springer , 2023, p. 25-34Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to define indicators and measures of accessibility that can support decision-makers in designing policies for sustainable regional development. The study identifies aspects of accessibility that may influence the attractiveness of certain areas for population and infrastructure investments, notably sparsely populated regions that lay outside urban environments. The paper’s findings identify which accessibility indicators are relevant to the peculiarities of sparsely populated areas thereby defining the specific system requirements for possible simulation models. Such models can generate outcomes of policy scenarios that may be used to evaluate the consequences of policy-making. To support this objective, the study identifies the theoretical basis of accessibility indicators and their modeling potentials that address the complexity of the investigated domain. This paper is an important step toward developing a feasible modeling tool capable of generating policy-based scenarios that support effective decision-making in the context of regional planning.

Place, publisher, year, edition, pages
Springer , 2023. p. 25-34
Series
Smart Innovation, Systems and Technologies, ISSN 2190-3018, E-ISSN 2190-3026 ; 352
Keywords [en]
Accessibility Measures, Accessibility Indicators, Simulation Modeling, Decision-making, Regional Development
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-224931DOI: 10.1007/978-981-99-2969-6_3Scopus ID: 2-s2.0-85173566045ISBN: 978-981-99-2968-9 (electronic)OAI: oai:DiVA.org:su-224931DiVA, id: diva2:1823508
Conference
15th KES-IDT 2023, International KES Conference on Intelligent Decision Technologies, Rome, Italy.
Available from: 2024-01-02 Created: 2024-01-02 Last updated: 2024-01-08Bibliographically approved

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Larsson, Aron

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