Prediction origin-destination matrix of freight travel demand in Baghdad city

• Autorzy: Asmael Noor Moutaz , Wazer Zainab A.

Identyfikatory

DOI

10.20858/tp.2022.17.3.16

• Języki publikacji: EN

Abstrakty

EN

Efficient freight transportation systems typically reduce the cost of moving goods to and from logistics facilities. The demand matrix (O-D) is used to load or allocate the flow of traffic on a network, usually defined as a matrix that detects the number of trips. The objective of this study is to contribute to road freight modeling in Baghdad in general and estimate the O-D matrix for truck traffic using the freight transport data collected. Freight data was collected through roadside and interview surveys at the seven entrances of Baghdad city. In addition, the analysis was performed using Trans CAD ver. 4.5 software. The results provide an analysis of the freight travel demand. The output of this study is useful for decision-makers in the evaluation and execution of freight transportation activities and aids the application of correct decisions.

Słowa kluczowe

EN

freight transport; TransCAD; demand matrix (O-D); truck traffic; logistics facilities

PL

transport towarowy; TransCAD; matryca popytu (O-D); ruch samochodów ciężarowych; obiekty logistyczne

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2022
• Tom: T. 17, z. 3
• Strony: 187--196
• Opis fizyczny: Bibliogr. 22 poz.

Twórcy

autor

Asmael Noor Moutaz

• Mustansiriyah University; College of Engineering, Highway and Transportation Department Baghdad, Iraq

• https://orcid.org/0000-0002-8871-7983

autor

Wazer Zainab A.

• Mustansiriyah University, College of Engineering, Highway and Transportation Department, Baghdad, Iraq

• https://orcid.org/0000-0003-3476-5944

Bibliografia

• 1. Errampalli, M. & Kayitha, R. & Chalumuri, R.S. & Tavasszy, L.A. & Borst, J. & Chandra, S. Assessment of urban freight travel characteristics - A case study of Delhi. Transp. Res. Procedia. 2020. Vol. 48. P. 467-485.
• 2. Hussein, A. Modeling Optimal Freight Logistics Facility Locations Based on the Clustering of Industries and Truck Trip Patterns in Ontario. University of Windsor (Canada). 2020.
• 3. McFallan, S. & Bruce, C. & Bondarenco, A. & McKeown, A & Higgins, A. & Perkins, E. Rail corridor and freight analysis for the Limestone Coast and South West Victoria. Application of TraNSIT. Final Report. CSIRO. 2020.
• 4. Garber, N.J. & Hoel, L.A. Traffic and highway engineering. Cengage Learning. 2014.
• 5. Alshurafa, A. Modelling Truck Stop Destinations and Durations Within a Truck Tour Micro-Simulation Framework for the GTHA, Ontario, Canada. University of Windsor (Canada). 2020.
• 6. Abedali, A.H. & Qasim, G.J. Traffic assignment model of Al-Amarah city. J. Duhok Univ. 2017. P. 319-334. DOI: https://doi.org/10.26682/sjuod.2017.20.1.29.
• 7. Fayyaz, M. Modeling truck traffic in Turkey. Middle East Technical University. 2015.
• 8. Guler, H. Model to estimate trip distribution: Case study of the Marmaray project in Turkey. J. Transp. Eng. 2014. Vol. 140. No. 11. Paper No. 5014006.
• 9. Siripirote, T. & Sumalee, A. & Ho, H.W. Statistical estimation of freight activity analytics from Global Positioning System data of trucks. Transp. Res. Part E Logist. Transp. Rev. 2020. Vol. 140. Paper No. 101986.
• 10. Alho, A.R & J. de A. e Silva Freight-trip generation model: predicting urban freight weekly parking demand from retail establishment characteristics. Transp. Res. Rec. 2014. Vol. 2411. No. 1. P. 45-54.
• 11.Önden, I. & Acar, A.Z. & Eldemir, F. Evaluation of the logistics center locations using a multicriteria spatial approach. Transport. 2018. Vol. 33. No. 2. P. 322-334.
• 12. Veličković, M. & Stojanović, D. & Pantović, J. Modelling the urban freight flows for impact assessment of the urban consolidation centres by using the origin-destination matrices. Transp. Res. Procedia. 2021. Vol. 52. P. 27-34.
• 13. de Souza, F.L.U. & Larranaga, A.M. & Palma, D. & Pitombo, C.S. Modeling travel mode choice and characterizing freight transport in a Brazilian context. Transp. Lett. 2021. P. 1-14. DOI: https://doi.org/10.1080/19427867.2021.1976011.
• 14. Bhavesh, D. & Pate, C.R. Assessing the impacts of city sprawl on urban freight transport in developing countries. Archit. Eng. 2021. Vol. 6. No. 2. P. 52-62.
• 15. Qasim, Z. & Ziboon, A.R. & Falih, K. TransCad analysis and GIS techniques to evaluate transportation network in Nasiriyah city. In: MATEC Web of Conferences. 2018. Vol. 162. P. 3029.
• 16.Qasim, G. Travel demand modeling: AL-Amarah city as a case study. Dr. thesis Submitt. to Eng. Coll. Univ. Baghdad, 2015.
• 17. Asmael, N.M. & Alkawaaz, N.G.A. The Influence Change of Private Car Ownership on Patterns of Mode Choice in Baghdad city. In: IOP Conference Series: Materials Science and Engineering. 2019. Vol. 518. No. 2. Paper No. 22025.
• 18.Central Statistical Organization. CSO. 2018.
• 19.Wazer, Z.A. & Asmael, N.M. Analysis Travel Pattern of Freight Demand Using GIS Techniques. In: IOP Conference Series: Materials Science and Engineering. 2021. Vol. 1090. No. 1. Paper No. 12091.
• 20. Al-Jazzar, M.J. Evaluating and Modeling the Gaza Transportation System Based on GIS and TransCAD Software. 2012.
• 21. Wazer, Z.A. & Asmael, N.M. GIS Based Analysis Freight Demand in Jisr Diyala Area. In: IOP Conference Series: Earth and Environmental Science. 2022. Vol. 961. No. 1. P. 12078.
• 22. Central Statistical Organization. CSOj 2019.

Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).