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https://doi.org/10.17535/crorr.2018.0002

GIS-based Decision Support Concept to planning of land acquisition for realization of Urban Public Projects

Jelena Kilić   ORCID icon orcid.org/0000-0002-7905-0718 ; Faculty of Civil Engineering, Architesture and Geodesy, University of Split, Split, Croatia
Nikša Jajac ; Faculty of Civil Engineering, Architesture and Geodesy, University of Split, Split, Croatia
Ivan Marović ; Faculty of Civil Engineering, University of Rijeka, Rijeka, Croatia

Puni tekst: engleski, pdf (3 MB) str. 11-24 preuzimanja: 198* citiraj
APA 6th Edition
Kilić, J., Jajac, N. i Marović, I. (2018). GIS-based Decision Support Concept to planning of land acquisition for realization of Urban Public Projects. Croatian Operational Research Review, 9 (1), 11-24. https://doi.org/10.17535/crorr.2018.0002
MLA 8th Edition
Kilić, Jelena, et al. "GIS-based Decision Support Concept to planning of land acquisition for realization of Urban Public Projects." Croatian Operational Research Review, vol. 9, br. 1, 2018, str. 11-24. https://doi.org/10.17535/crorr.2018.0002. Citirano 27.07.2021.
Chicago 17th Edition
Kilić, Jelena, Nikša Jajac i Ivan Marović. "GIS-based Decision Support Concept to planning of land acquisition for realization of Urban Public Projects." Croatian Operational Research Review 9, br. 1 (2018): 11-24. https://doi.org/10.17535/crorr.2018.0002
Harvard
Kilić, J., Jajac, N., i Marović, I. (2018). 'GIS-based Decision Support Concept to planning of land acquisition for realization of Urban Public Projects', Croatian Operational Research Review, 9(1), str. 11-24. https://doi.org/10.17535/crorr.2018.0002
Vancouver
Kilić J, Jajac N, Marović I. GIS-based Decision Support Concept to planning of land acquisition for realization of Urban Public Projects. Croatian Operational Research Review [Internet]. 2018 [pristupljeno 27.07.2021.];9(1):11-24. https://doi.org/10.17535/crorr.2018.0002
IEEE
J. Kilić, N. Jajac i I. Marović, "GIS-based Decision Support Concept to planning of land acquisition for realization of Urban Public Projects", Croatian Operational Research Review, vol.9, br. 1, str. 11-24, 2018. [Online]. https://doi.org/10.17535/crorr.2018.0002

Sažetak
Planning of the land acquisition is a complex task and integral part of the planning phase within management of large scale construction projects especially of public projects in urban areas. This paper describes research on the establishment of GIS-based Decision Support Concept (DSC) to planning of land acquisition for realization of urban public projects that can be useful to project managers. It is focused on establishment of concept that supports identification, selection and priority ranking of spatial units whose acquisition enables further realization of commenced project. The complexity of such task arises from the dynamics of the project and its subprojects, a large number of diverse spatial and other data to be taken into account, several stakeholders groups with different opinions (providing diverse and often conflicting criteria to evaluate alternative spatial units). The concept is based on the SDSS logic and multicriteria analysis. Applying a family of PROMETHEE Methods and AHP Method comparison of selected spatial units according to priority for acquisition is provided in a form of priority ranking list. Insights obtained by analysis of these results as well as other influential factors (such as strategies and plans of a higher order, active contracts, etc.) are then used as the basis for design of additional spatial-functional constrains by decision-maker introduced trough PROMETHEE V method which ensured definition of the first acquisition’s implementation phase defining a set of spatial units that are recommended for acquisition within next investment/project cycle. The proposed concept was tested on planning of land acquisition for realization of the University Campus Project in Split, Croatia.

Ključne riječi
land acquisition; project management; multicriteria decision making; PROMETHEE; AHP

Hrčak ID: 203890

URI
https://hrcak.srce.hr/203890

Posjeta: 435 *