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Abstrakt
When planning their transport policy, cities usually focus on developing sustainable transport systems and reducing the negative consequences of transport. One way to deliver transport policies is to use the Sustainable Urban Mobility Plan (SUMP), a strategic document designed to meet the demand for mobility whilst ensuring adequate quality of life for the residents. The process of Sustainable Urban Mobility Planning (SUMP process) can be supported by using a transport model. The objective of this article is to analyse the efficacy of the Multilevel Model of Transport Systems—referred to by its acronym, MST—for the SUMP process. With its ability to represent the transport system’s behaviour depending on the level of detail, the MST can significantly benefit the SUMP process. The proposed concept of integration of the MST into the SUMP process has already been tested and applied in delivering Gdynia’s (Poland) SUMP. The paper suggests ways to use the MST at different levels of planning and modelling and describes the outcomes. Using the multilevel structure helps to fully realise the transport model’s potential to improve the effectiveness of urban mobility planning. The conclusions show that the methods proposed in the article are worthwhile and cities should consider them when planning the SUMP process.
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Autorzy (6)
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Marcin Wołek
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- Wersja publikacji
- Accepted albo Published Version
- Licencja
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuł w czasopiśmie wyróżnionym w JCR
- Opublikowano w:
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Sustainability
nr 10,
wydanie 2,
strony 1 - 20,
ISSN: - Język:
- angielski
- Rok wydania:
- 2018
- Opis bibliograficzny:
- Okraszewska R., Romanowska A., Wołek M., Oskarbski J., Birr K., Jamroz K.: Integration of a Multilevel Transport System Model into Sustainable Urban Mobility Planning// Sustainability. -Vol. 10, iss. 2 (2018), s.1-20
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/su10020479
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 287 razy
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