Multicriteria analysis in planning roads – Part 2. Methodology for selecting the optimal variant of the road

• Autorzy: Żabicki P. , Gardziejczyk W.

Identyfikatory

DOI

10.24425/bpasts.2020.133121

• Języki publikacji: EN

Abstrakty

EN

The article presents the methodology for selecting the optimal variant of the road on a regional level. The suggested methodology is based on a combination of criteria value normalization method and the variant assessment method. Based on survey studies conducted using the Delphi method, a starting list of criteria was designed and the significance of the individual groups of main criteria and sub-criteria was determined. The final assessments of the analysed variants are calculated based on the aggregation of the marks obtained for the normalization and assessment methods. The methodology can be divided into six stages: determining the variants for analysis, selecting the variant assessment criteria, creating the assessment matrix, normalizing criteria value, using the variant assessment method, variant ranking. The methodology was tested on the examples of planning a bypass of Mazury and Księżyno towns as a part of Regional Road 678 in Poland.

Słowa kluczowe

EN

normalization; assessment methods; multicriteria analysis

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2020
• Tom: Vol. 68, nr 2
• Strony: 351--360
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Żabicki P.

• DROMOBUD Ltd, 4/418 Tysiąclecia Państwa Polskiego Street, 15-111 Białystok, Poland

autor

Gardziejczyk W.

• Faculty of Civil Engineering and Environmental Sciences, Bialystok University of Technology, 45E Wiejska Street, 15-351 Bialystok, Poland

Bibliografia

• [1] J. Bohatkiewicz, “Good Practices Handbook performing environmental studies for the national road”, The General Directorate for National Roads and Highways, Cracow, 2008 [in Polish].
• [2] M. Velasquez and P.T. Hester, “An Analysis of Multi-Criteria Decision Making Methods”, Int. J. Oper. Res. 10(2), 56‒66 (2013).
• [3] J.H. Dahooiea, A.S. Vanakib, N. Mohammadic, and H.R. Firoozfard, “Selection of optimal variant route based on dynamic fuzzy GRA”, Decis. Sci. Lett. 7, 523‒534 (2018).
• [4] A. Kobryń and J. Prystrom, “Processing technique of ratings for ranking of alternatives (PROTERRA)”, Expert Syst. 35 (2), 1‒14 (2018).
• [5] E. Roszkowska and J. Brzostowski, “Some Properties and Types of the SAW Procedure from the Perspective of Supporting Negotiation”, Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach 178, 108‒126 (2014).
• [6] K. Nermend, “PVM – Preference Vector Method as a tool to support decision-making process”, Prz. Staty., R.LXII, ZESZYT 1 93‒114 (2015).
• [7] M.K Jha and P. Schonfeld, “A optimization model using geographic highway alignment information systems”, Transp. Res. Part A 38 (6), 455‒481 (2004).
• [8] S. Sharma and V.K. Bansal, “Location-based planning and scheduling of highway construction projects in hilly terrain using GIS”, Can. J. Civ. Eng. 45 (7), 570‒582 (2018).
• [9] D. Syamsunur, A. Ismail, R. Atiq, and O.A. Karim, “Knowledge-based Expert System for Route Selection of Road Alignment”, Aust. J. of Basic Appl. Sci. 5 (5), 208‒213 (2011).
• [10] A. Modinpuroju, CSRK Prasad, “Design optimal rural road network using GIS”, Arch. Transp. 41(1), 63‒71, (2017).
• [11] S. Dinu and G. Bordea, “A new genetic approach for transport network design and optimization”, Bull. Pol. Ac.: Tech. 59(3), 263‒272, (2011).
• [12] D. Cvitanić, D. Breski, and I. Lovrić, “Reconstruction of the state road D8 – comparison of the variant solutions”, Urban Transport XII: Urban Transport and the Environment in the 21st Century, WIT Transactions on The Built Environment 89, 360‒368 (2006).
• [13] N. Mouter, J.A. Annema, and B. Wee, “Ranking the substantive problems in the Dutch Cost-Benefit. Analysis practice”, Transp. Res. Part A 49, 241‒255, (2013).
• [14] A. Tudela, N. Akiki and R. Cisternas, “Comparing the output of cost benefit and multicriteria analysis. An application to urban transport investments”, Transp. Res. Part A 40(5), 414‒423 (2006).
• [15] P. Żabicki and W. Gardziejczyk, “Multicriteria analysis in planning roads – Part 1. Criteria in determining the alignment of regional roads”, Bull. Pol. Ac.: Tech. 68(2), 345‒350 (2020).
• [16] A. Celen, “Comparative Analysis of Normalization Procedures in TOPSIS Method: With an Application to Turkish Deposit Banking Market”, Inf. 25 (2), 185‒208 (2014).
• [17] A. Jahan and K.L. Edwards, “A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design”, Mater. Des. 65, 335‒342 (2015).
• [18] E.K. Zavadskas and Z. Turskis, “A new logarithmic normalization method in games theory”, Inf. 19 (2), 303‒314 (2008).
• [19] N. Vafaei, R.A. Ribeiro and L.M. Camarinha-Matos, “Data normalisation techniques in decision making: case study with TOPSIS method”, Int. J. Inform. Decis. Sci. 10 (1), 19‒38 (2018).
• [20] W.K. Brauers, “What is meant by normalisation in decision making?”, Int. J. Manag. Decis. Making 8 (5/6), 445‒460 (2007).
• [21] K. Kukuła, Zero unitarization methods, Polish Scientific Publishers, Warsaw, 2000 [in Polish].
• [22] W. Gardziejczyk and P. Żabicki, “Normalization and variant assessment methods in selection of road alignment variants – case study”, J. Civ. Eng. Manag. 23 (4), 510‒523 (2017)

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).