Article
CROWD LOGISTICS: HOUSEHOLD AS A LOGISTICS SERVICE PROVIDER
DOI: 10.7708/ijtte2022.12(1).08
12 / 1 / 111 - 122 Pages
Author(s)
Snežana Tadić - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -
Abstract
The number and spatial dispersion of households and their resources (means of transport, storage space, human resources, etc.), a large number of daily trips of various motives (shopping, work, school, tourism, waste disposal, etc.), makes households important participants in logistics chains. Moreover, these features make them potentially very important providers of logistics services of delivery, storage, waste collection, etc., both for other households and for companies. The use of logistics services, resources of households, i.e. individuals, known as crowd logistics, is experiencing rapid development with the advent of numerous networks and applications, through which users connect with each other and get the opportunity to state and accept requests for logistics tasks. In this paper, the role of households in the performance of logistics demands of other households and companies is analyzed and the basic crowd logistics services are structured, with special reference to the services in the last mile of the supply chain. Also, the basic benefits were identified, as well as the disadvantages, problems and challenges in the application of this concept.
Number of downloads: 531
Keywords:
crowd logistics;
household;
logistics service;
crowd delivery;
crowd storage;
crowd waste collection;
last mile;
Acknowledgements:
This paper was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia (projects TR36006 and TR36027).
References:
Agatz, N.; Erera, A.; Savelsbergh, M., Wang, X. 2012. Optimization for dynamic ridesharing: A review, European Journal of Operational Research 223(2): 295 – 303.
Aslant, A.M.; Agate, N.; Kroon, L.; Zuidwijk, R. 2018. Crowdsourced Delivery - A Dynamic Pickup and Delivery Problem with Ad Hoc Drivers, Transportation Science 53(1): 1-14.
Cairns, S. 1996. Delivering alternatives, Transport Policy 3(4): 155–176.
Carbone, V.; Roquet, A.; Roussat, C. 2017. The Rise of Crowd Logistics: A New Way to Co-Create Logistics Value, Journal of Business Logistics 38(4): 238-252.
Devari, A.; Nikolaev, A. G.; He, Q. 2017. Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers, Transportation Research Part E: Logistics and Transportation Review 105: 105–122.
Frehe, V.; Mehmann, J.; Teuteberg, F. 2017. Understanding and assessing crowd logistics business models – using everyday people for last mile delivery, Journal of Business & Industrial Marketing 32(1): 75-97.
Ghajargar, M.; Zenezini, G.; Montanaro, T. 2016. Home delivery services: innovations and emerging needs, IFAC-PapersOnLine 49(12): 1371–1376.
Howe, J. 2006. The Rise of Crowdsourcing. Available from Internet: http://www.wired.com/wired/archive/14.06/crowds.html.
Hübner, A.; Kuhn, H.; Wollenburg, J. 2016. Last mile fulfilment and distribution in omni-channel grocery retailing, International Journal of Retail & Distribution Management 44(3): 228–247.
Joerss, M.; Schroder, J.; Neuhaus, F.; Klink, C.; Mann, F. 2016. Parcel delivery: the future of last mile. In: McKinsey&Company (Travel, Transport and Logistics), 1-32.
Klumpp, M. 2017. Crowdsourcing in Logistics: An Evaluation Scheme, In Freitag, M.; Kotzab, H.; Pannek, J. (Ed.), Dynamics in Logistics, Proceedings of the 5th International Conference LDIC, Bremen, 401–411.
McKinnon, A. C.; Tallam, D. 2003. Unattended delivery to the home: an assessment of the security implications, International Journal of Retail & Distribution Management 31(1): 30–41.
Mehmann, J.; Frehe, V.; Teuteberg, F. 2015. Crowd Logistics − A Literature Review and Maturity Model, In Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg, 117-145.
Mladenow, A.; Bauer, C.; Strauss, C. 2015. Crowdsourcing in logistics, In Proceedings of the 17th International Conference on Information Integration and Web-Based Applications & Services - iiWAS ’15, Brussels, 244-251.
Mladenow, A.; Bauer, C.; Strauss, C. 2016. Crowd logistics: the contribution of social crowds in logistics activities, International Journal of Web Information Systems 12(3): 379-396.
Paloheimo, H.; Lettenmeier, M.; Waris, H. 2016. Transport reduction by crowdsourced deliveries – a library case in Finland, Journal of Cleaner Production 132: 240 – 251.
Piplani, R.; Saraswat, A. 2012. Robust optimisation approach to the design of service networks for reverse logistics, International Journal of Production Research 50(5): 1424–1437.
Rai, H.B.; Verlinde, S.; Merckx, J.; Macharis, C. 2017. Crowd logistics: an opportunity for more sustainable urban freight transport? European Transport Research Review 9(39): 1-13.
Rougès, J.; Montreuil, B. 2014. Crowdsourcing delivery: new interconnected business models to reinvent delivery. In Proceedings of the 1st International Physical Internet Conference, Quebec City, 1-19.
Rześny-Cieplińska, J.; Szmelter-Jarosz, A. 2019. Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach, Sustainability 11(19): 5361.
Sampaio, A.; Savelsbergh, M.; Veelenturf, L.; Van Woensel, T. 2019. Crowd-Based City Logistics, In Sustainable Transportation and Smart Logistics, 381–400.
Subedi, M. 2018. Smart Approach to Warehousing: Self-storage Industry. Bachelor’s Degree Thesis,Yrkeshögskolan Arcada, Helsinki. 43p.
Tadić, S.; Veljović, M. 2020a. Logistics flows of household, Tehnika 75(2): 225-237.
Tadić, S.; Veljović, M. 2020b. Logistics of rural tourism, International journal for traffic and transport engineering - IJTTE 10(3): 323-350.
Tadić, S.; Veljović, M. 2020c. Household logistics in tourism supply chain. In: Bevanda, V., Štetić, S. (eds.), 5th International Thematic Monograph: Modern Management Tools and Economy of Tourism Sector in Present Era, Association of Economists and Managers of the Balkans - UDEKOM Balkan (Belgrade, Serbia) in cooperation with the Faculty of Tourism and Hospitality (Ohrid, North Macedonia), 67-80.
Tadić, S.; Veljović, M. 2020d. Home delivery: concept and characteristics, International journal for traffic and transport engineering – IJTTE 10(4): 519 – 533.
Tadić, S.; Veljović, M. 2020e. Return flows in home delivery. In Proceedings of the 19th International Conference on Transport Science (ICTS), Portoroz, 348-354.
Tadić, S.; Veljović, M. 2021. Home delivery: a framework for structuring, International journal for traffic and transport engineering – IJTTE 11(1): 30 – 74.
Tadić, S.; Zečević, S. 2016. Modeling of city logistics concepts [In Serbian: Modeliranje koncepcija city logistike]. University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia. 358 p.
Visser, J.; Nemoto, T.; Browne, M. 2014. Home Delivery and the Impacts on Urban Freight Transport: A Review, Procedia - Social and Behavioral Sciences 125: 15–27.
Wang, Y.; Zhang, D.; Liu, Q.; Shen, F.; Lee, L. H. 2016. Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions, Transportation Research Part E: Logistics and Transportation Review 93: 279–293.
Yuen, K. F.; Wang, X.; Ng, L. T. W.; Wong, Y. D. 2018. An investigation of customers’ intention to use self-collection services for last-mile delivery, Transport Policy 66: 1–8.