A numerical model for impacts of left-turn non-motorized vehicles on through lane capacity metrics

Authors

DOI:

https://doi.org/10.5604/01.3001.0014.4237

Keywords:

urban freight transport, survey techniques, delivery bays, loading area, unloading area

Abstract

Roads and parking areas represent a place of conflict between freight vehicles and other urban activities, especially on mixed residential and commercial streets. This conflict results in traffic congestion, illegal parking, pollution and road safety problems. The challenge is to allocate public space between the right operating activities, parking activities, public transport and so on. To address that, urban logistics delivery bays, also known as loading/unloading (L/U) zones, have become a real solution to facilitate the delivery and pick-up operations of urban freight vehicles, ensure accessibility for delivery drivers, reduce congestion and improve road safety. Therefore, this paper reports on planning and enforcement of urban delivery bays needs. It is part of the urban freight transport (UFT) surveys. This involves consolidating with new contribution the development, implementation and statistical analysis of a survey in order to quantify the need of delivery areas. Compared to the existing literature, this paper presents a mixed applied methodology which is divided into two parts : “Exploratory survey” and “Establishment vehicle observation” survey. These two surveys techniques were conducted to offer an overview of the freight vehicle delivery and pick-up frequency according to the daytime and weekdays and the operations related to the loading/unloading activities. This makes it possible to estimate the delivery bays requirement in the study area. The findings from a methodological and practical angle are illustrated through a real case study in a commercial street in Morocco. The findings suggest that 60% of deliveries are made between 8:00 A.M and 12 A.M, and the movements generated by each establishment are 257 movements. For this, the study zone requires the development of three loading/unloading (L/U) bays. The main contribution is to propose an approach that urban authorities can use to estimate urban delivery areas efficiently and thus allow simple replication of the proposed framework in other cities.

References

Aiura, N., Taniguchi, E., 2006. Planning on-street loading-unloading spaces considering the behaviour of pickup delivery vehicles. In R. G. Thompson, & E. Taniguchi (Eds.), Recent advances in city logistics Oxford: Elsevier.

Alho, A. R., de Abreu e Silva, J., 2015. Lisbon’s Establishment-based Freight Survey: revealing retail establishments’characteristics, goods ordering and delivery processes. European Transport. Research Review. 7, 16. https://doi.org/10.1007/s12544-015-0163-7.

Alho, A. R., de Abreu e Silva, J., de Sousa, J., Blanco, J. P., E, 2016. Improving mobility by optimizing the number, location and usage of loading/unloading bays for urban freight vehicles. Transportation Research Part D: Transport and Environment 61, 3-18. https://doi.org/10.1016/j.trd.2017.05.014

Alho, A. R., de Abreu e Silva, J., 2014. Analyzing the Relation Between Land Use/Urban Freight Operations and the Need for Dedicated Infrastructure/Enforcement–Application to the City of Lisbon.” Research in Transportation Business and Management 11, 85–97. doi: 10.1016/j.rtbm.2014.05.002.

Allen, J., Browne, M., Cherrett, T., 2012. Investigating relationships between road freight transport, facility location, logistics management and urban form. Journal of Transport Geography 24, 45-57. https://doi.org/10.1016/j.jtrangeo.2012.06.010.

Allen, J., Browne, M., Cherrett, T., 2012a. Survey Techniques in Urban Freight Transport Studies. Transport Reviews: A Transnational Transdisciplinary Journal, 32 (3), 287-311. https://doi.org/10.1080/01441647.2012.665949.

CERTU. 2009. Aménagement des aires de livraison: guide pour leur quantification, leur localisation et leur dimensionnement. CERTU, FR.

Cherrett, T., Allen, J., McLeod, F., Maynard, S., Hickford, A., Browne, M., 2012. Understanding urban freight activity – key issues for freight planning. Journal of Transport Geography. 24, 22-32.

Comia, A., Buttarazzi, B., Schiraldi, M.M., Innarella, R., Varisco, M., Rosati. L., 2017. DynaLOAD: a simulation framework for planning, managing and controlling urban delivery bays. In the 19th EURO Working Group on Transportation Meeting, Istanbul, Turkey, Transportation Research Procedia, 22, 335-344. https://doi.org/10.1016/j.trpro.2017.03.049.

Dablanc, L., Giuliano, G., Holliday, K., O’Brien, T., 2013. Best Practices in Urban Freight Management: Lessons from an International Survey. Transportation Research Record, 2379, 29–38, https://doi.org/10.3141/2379-04

Delaître, L., Routhier, J. L., 2010. Mixing two French tools for delivery areas scheme decision making. Procedia Social and Behavioral Sciences, 2, 6274-6285. https://doi.org/10.1016/j.sbspro.2010.04.037.

Dezi, G., G. Dondi, and C. Sangiorgi. 2010. Urban Freight Transport in Bologna: Planning Commercial Vehicle Loading/Unloading Zones.” Procedia Social and Behavioral Sciences 2 (3): 5990-6001. doi: 10.1016/j.sbspro.2010.04.013.

El Mokaddem, Y., Jawab, F., 2019. Parking Meso Modeling Review a Discipline-Based Approach. In IEEE International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). 10.1109/LOGISTIQUA.2019.8907266.

Fes Meknes Invest, 2020. Retrieved from http://fesmeknesinvest.ma/sites/de-fault/files/Pr%C3%A9fec-ture%20de%20F%C3%A8s.pdf

Fu, J., Jenelius, E. 2018. Transport efficiency of off-peak urban goods deliveries: A Stockholm pilot study. Case Studies on Transport Policy, 6, 156-166.

Gardrat, M. Serouge, M., 2016. Modeling Delivery Spaces Schemes: Is the Space Properly used in Cities Regarding Delivery Practices? Transportation Research Procedia, 12, 436–449. https://doi.org/10.1016/j.trpro.2016.02.077.

Golini, R., Guerlain, C., Lagorio, A., & Pinto, R. 2018. An assessment framework to support collective decision making on urban freight transport. Transport, 33(4), 890-901. https://doi.org/10.346/transport.2018.6591

Gonzalez-Feliu, J., Palacios-Argüello, L., Suarez-Nuñez, C., 2020. Links between freight trip generation rates, accessibility and socio-demographic variables in urban zones. Archives of Transport, 53(1), 7-20. DOI: https://doi.org/10.5604/01.3001.0014.1738.

Holguín-Veras, J., Jaller, M., 2014. Comprehensive Freight demand Data Collection Framework for Large Urban Areas. Journal of Chemical Information and Modeling, 1-13. https://doi.org/10.1007/978-3-642-31788-0_6

McLeod, F., Cherrett, T., 2011. Loading bay booking and control for urban freight. International Journal of Logistics Research and Applications, 14, 385-397. https://doi.org/10.1080/13675567.2011.641525

Moufad, I., Jawab, F., 2018. The Determinants of the performance of the Urban Freight Transport - An Empirical Analysis. In IEEE International Colloquium on Logistics and Supply Chain Management. https://doi.org/10.1109/LOGISTIQUA.2018.8428296.

Moufad, I., Jawab, F., 2019. A study framework for assessing the performance of the urban freight transport based on PLS approach. Archives of Transport, 49, 87-98. https://doi.org/10.5604/01.3001.0012.8368.

Moufad, I., Jawab, F., 2019a. Proposal Methodology of Planning and Location of Loading/Unloading Spaces for Urban Freight Vehicle: A Case Study. Advances in Science, Technology and Engineering Systems Journal, 4, pp. 273-280, https://dx.doi.org/10.25046/aj040534

Moufad, I., Jawab, F., 2020. Dassia: A microsimulation approach to diagnose urban freight delivery areas impacts on traffic flow. International Journal of Scientific and Technology Research 9(2), 3737- 3742.

Muñuzuri, J., M. Cuberos, F. Aburrea, and A. Escudero. 2017. Improving the Design of Moufad, I.,Urban Loading Zone Systems. Journal of Transport Geography 59, 1–13. doi: 10.1016/j.jtrangeo.2017.01.004.

Pinto, R., Lagorio, A., Golini, R., 2018. The location and sizing of urban freight loading/unloading lay-by areas. International Journal of Production Research, 57 (1). 83-99. https://doi.org/10.1080/00207543.2018.1461269.

Pokorny, P., Pritchard, R., Pitera. K., 2018. Conflicts between bikes and trucks in urban areas - A survey of Norwegian cyclists. Case Studies on Transport Policy, 6 (1), 147-155. https://doi.org/10.1016/j.cstp.2017.11.010.

Sánchez-Díaz. I., 2017. Modeling urban freight generation: A study of commercial establishments’ freight needs. Transportation Research Part A: Policy and Practice, 102, 3-17. https://doi.org/10.1016/j.tra.2016.06.035.

Toilier, F., Serouge,M., Routhier, J. L., Patier, D., Gardrat, M., 2016. How can Urban Goods Movements be Surveyed in a Megacity? the Case of the Paris Region. Transportation Research Procedia, 12, 570–583.

World Population Review, 2020. Retrieved from http://worldpopulationreview.com/countries/morocco-population/cities/.

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Published

2020-09-30

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Original articles

How to Cite

Moufad, I., & Jawab, F. (2020). A numerical model for impacts of left-turn non-motorized vehicles on through lane capacity metrics. Archives of Transport, 55(3), 95-110. https://doi.org/10.5604/01.3001.0014.4237

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