IMPACT OF THE NUMBER OF VEHICLES ON TRAFFIC SAFETY: MULTIPHASE MODELING

Milanko Damjanović, Željko Stević, Dragan Stanimirović, Ilija Tanackov, Dragan Marinković

DOI Number
https://doi.org/10.22190/FUME220215012D
First page
177
Last page
197

Abstract


Traffic safety is one of the key issues nowadays, given the fact that a large number of people lose their lives in traffic accidents every day. There are various influential factors in the occurrence of traffic accidents, the number of vehicles being one of them. This paper assesses the traffic safety in Montenegro in the period 1998-2020 by applying the multiphase modeling with a purpose to obtain comparative results which enable implementation of adequate strategies. A total of six scenarios were formed with two inputs and two outputs in a DEA (Data Envelopment Analysis) model, with the number of registered vehicles per year being an input in all scenarios. In addition, as inputs, the scenarios included AADT (Annual Average Daily Traffic), passengers in road transport, passenger-km by road transport, goods transported by road, tone-km by road, and passengers in local transport. The number of traffic accidents with casualties, the number of traffic accidents with material damage, the number of fatal cases and the number of injured persons, depending on a scenario, were observed as outputs. After the DEA model, IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) was applied to determine the weights of inputs and outputs, while the final state of traffic safety by years was determined using the MARCOS (Measurement of alternatives and ranking according to COmpromise solution) method.

Keywords

Vehicle, Traffic Safety, IMF SWARA, MARCOS, Traffic Accident

Full Text:

PDF

References


Podvezko, V., Sivilevičius, H., 2013, The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety, Transport, 28(4), pp. 389-403.

Sénquiz-Díaz, C., 2021, The Effect of Transport and Logistics on Trade Facilitation and Trade: A PLS-SEM Approach, Economics, 9(2), pp. 11-24.

Mozaffari, M.M., Taghizadeh-Yazdi, M., Nazari-Shirkouhi, S., Asadzadeh, S.M., 2021, Measuring Traffic Safety Culture toward Achieving Road Safety Performance: A DEA Approach with Undesirable Inputs-Outputs, Cybernetics and Systems, 52(7), pp. 601-624.

Seyedalizadeh Ganji, S.R., Rassafi, A.A., 2019, Measuring the road safety performance of Iranian provinces: a double-frontier DEA model and evidential reasoning approach, International journal of injury control and safety promotion, 26(2), pp. 156-169.

Ganji, S.S., Rassafi, A., Xu, D.L., 2019, A double frontier DEA cross efficiency method aggregated by evidential reasoning approach for measuring road safety performance, Measurement, 136, pp. 668-688.

Xu, C., Feng, C., Hu, D., 2019, Evaluation of the performance of provincial road traffic safety in China based on two-stage DEA model, In 2019 International Conference on Industrial Engineering and Systems Management (IESM), IEEE, pp. 1-6.

Alper, D., Sinuany-Stern, Z., Shinar, D., 2015, Evaluating the efficiency of local municipalities in providing traffic safety using the Data Envelopment Analysis, Accident Analysis & Prevention, 78, pp. 39-50.

Fancello, G., Carta, M., Serra, P., 2020, Data Envelopment Analysis for the assessment of road safety in urban road networks: A comparative study using CCR and BCC models, Case studies on transport policy, 8(3), pp. 736-744.

Teimourzadeh, K., Pourmahmoud, J., Kordrostami, S., 2020, A New Estimation of Road Safety Index in Transportation Systems with Fuzzy-DEA Method: A Case Study on Roads of East Azarbaijan Province in Iran, Fuzzy Information and Engineering, 12(2), pp. 223-237.

Shah, S.A.R., Ahmad, N., 2019, Road infrastructure analysis with reference to traffic stream characteristics and accidents: An application of benchmarking based safety analysis and sustainable decision-making, Applied Sciences, 9(11), 2320.

Ahmadvand, A., Abtahy, Z., Bashiri, M., 2011, Considering undesirable variables in PCA-DEA method: a case of road safety evaluation in Iran, Journal of Industrial Engineering International, 7(15), pp. 43-50.

Stanković, M., Stević, Ž., Das, D.K., Subotić, M., Pamučar, D., 2020, A new fuzzy MARCOS method for road traffic risk analysis, Mathematics, 8(3), 457.

MitrovićSimić, J., Stević, Ž., Zavadskas, E. K., Bogdanović, V., Subotić, M., Mardani, A., 2020, A novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS model for safety evaluation of road sections based on geometric parameters of road, Symmetry, 12(12), 2006.

Omrani, H., Amini, M., Alizadeh, A., 2020, An integrated group best-worst method–Data envelopment analysis approach for evaluating road safety: A case of Iran. Measurement, 152, 107330.

Dadashi, A., Mirbaha, B., 2019, Prioritizing highway safety improvement projects: A Monte-Carlo based Data Envelopment Analysis approach, Accident Analysis & Prevention, 123, pp. 387-395.

Stević, Ž., Das, D.K., Kopić, M., 2021, A Novel Multiphase Model for Traffic Safety Evaluation: A Case Study of South Africa, Mathematical Problems in Engineering, 5584599.

Nenadić, D., 2019, Ranking dangerous sections of the road using MCDM model, Decision Making: Applications in Management and Engineering, 2(1), pp. 115-131.

Antić, B., Grdinić, M., Pešić, D., Pajković, V., 2020, Benchmarking of the road safety performance among the regions by using DEA, Transportation research procedia, 45, pp. 78-86.

Egilmez, G., McAvoy, D., 2013, Benchmarking road safety of US states: a DEA-based Malmquist productivity index approach, Accident Analysis & Prevention, 53, pp. 55-64.

Kang, L., Wu, C., 2021, Measuring the development of Chinese provincial road safety over the period 2007–2016, Measurement, 175, 109133.

Rosić, M., Pešić, D., Kukić, D., Antić, B., Božović, M., 2017, Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method, Accident Analysis & Prevention, 98, pp. 277-286.

Shen, Y., Hermans, E., Brijs, T., Wets, G., Vanhoof, K., 2012, Road safety risk evaluation and target setting using data envelopment analysis and its extensions, Accident Analysis & Prevention, 48, pp. 430-441.

Sénquiz-Díaz, C., 2021, Transport infrastructure quality and logistics performance in exports, Economics, 9(1), pp. 107-124.

Vrtagić, S., Softić, E., Subotić, M., Stević, Ž., Dordevic, M., Ponjavic, M., 2021, Ranking road sections based on MCDM model: New improved fuzzy SWARA (IMF SWARA), Axioms, 10(2), 92.

Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P., 2020, Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS), Computers & Industrial Engineering, 140, 106231.

Mahmutagić, E., Stević, Ž., Nunić, Z., Chatterjee, P., Tanackov, I., 2021, An integrated decision-making model for efficiency analysis of the forklifts in warehousing systems, Facta Universitatis-Series Mechanical Engineering, 19(3), pp. 537-553.

Hassanpour, M., 2021, An investigation of five generation and regeneration industries using DEA, Operational Research in Engineering Sciences: Theory and Applications, 4(1), pp. 19-37.

Anthony, P., Behnoee, B., Hassanpour, M., Pamucar, D., 2019, Financial performance evaluation of seven Indian chemical companies, Decision Making: Applications in Management and Engineering, 2(2), pp. 81-99.

Vojinović, N., Stević, Ž., 2021, Analysis of the healthcare system with reference to the right to health during a pandemic, TEME, doi: 10.22190/TEME210911046V.

Stević, Ž., Das, D. K., Tešić, R., Vidas, M., Vojinović, D., 2022, Objective Criticism and Negative Conclusions on Using the Fuzzy SWARA Method in Multi-Criteria Decision Making, Mathematics, 10(4), 635.

Arsu, T., Ayçin, E., 2021, Evaluation of OECD Countries with Multi-Criteria Decision-Making Methods in terms of Economic, Social and Environmental Aspects, Operational Research in Engineering Sciences: Theory and Applications, 4(2), pp. 55-78.

Puška, A.,Stojanović, I., Maksimović, A., Osmanović, N., 2020, Evaluation software of project management used measurement of alternatives and ranking according to compromise solution (MARCOS) method, Operational Research in Engineering Sciences: Theory and Applications, 3(1), pp. 89-102.

Bozanic, D., Tešić, D., Marinković, D., Milić, A., 2021, Modeling of neuro-fuzzy system as a support in decision-making processes, Reports in Mechanical Engineering, 2(1), pp. 222-234.

Sałabun, W., Urbaniak, K., 2020, A new coefficient of rankings similarity in decision-making problems, In International Conference on Computational Science, Springer, Cham, pp. 632-645.




DOI: https://doi.org/10.22190/FUME220215012D

Refbacks

  • There are currently no refbacks.


ISSN: 0354-2025 (Print)

ISSN: 2335-0164 (Online)

COBISS.SR-ID 98732551

ZDB-ID: 2766459-4