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Mapping the evolution of drone-based last-mile delivery: a bibliometric analysis with field insights from Colombia
Evolución de la entrega con drones en la última milla: análisis bibliométrico con enfoque en Colombia
DOI:
https://doi.org/10.15446/dyna.v92n239.120412Palabras clave:
drones, last-mile delivery, Colombia, urban logistics, implementation barriers, sustainability (en)drones, entrega de última milla, Colombia, logística urbana, barreras de implementación, sostenibilidad (es)
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The article combines a bibliometric analysis of 301 studies (2019–2025) with a survey of 70 Colombian logistics leaders. It identifies an annual scientific growth rate of 14.96 %, with emerging emphasis on sustainability, optimized routes, and hybrid truck-drone fleets. Respondents report key barriers: air-space regulation (80 %), limited payload capacity (65.7 %), insufficient infrastructure (64.3 %), and concerns about security, privacy, and high up-front costs. Integrating both approaches, the authors propose an urban pilot inspired by Milan, tailored to the Colombian context, profitable even at 50 % utilization and yielding a return above 90 % in the first year. They conclude that last-mile drone adoption demands clear regulatory frameworks, infrastructure investment, and risk-management strategies to build trust among users and operators.
El artículo combina un análisis bibliométrico de 301 estudios (2019-2025) con una encuesta a 70 líderes logísticos colombianos. Detecta un crecimiento científico anual del 14,96 %, con énfasis emergente en sostenibilidad, rutas optimizadas y flotas híbridas camión-dron. Los encuestados señalan como principales barreras la regulación del espacio aéreo (80 %), la escasa capacidad de carga (65,7 %), la falta de infraestructura (64,3 %), además de preocupaciones sobre seguridad, privacidad y altos costos iniciales. Integrando ambos enfoques, los autores proponen un piloto urbano inspirado en Milán, adaptado al contexto colombiano, rentable incluso con una utilización del 50 %, generando un retorno superior al 90 % en el primer año. Concluyen que la adopción de drones en la última milla exige marcos regulatorios claros, inversión en infraestructura y gestión de riesgos para generar confianza entre usuarios y operadores.
Referencias
[1] Lyons, T., and McDonald., N.C., Last-mile strategies for urban freight delivery: a systematic review. Transportation Research Record: Journal of the Transportation Research Board, 2677(1), pp. 1141-1156, 2022. DOI: https://doi.org/10.1177/03611981221103596
[2] Lemardelé, C., Estrada, M., Pagès, L. and Bachofner, M., Potentialities of drones and ground autonomous delivery devices for last-mile logistics. Transportation Research Part E: Logistics and Transportation Review, 149, art. 102325, 2021. DOI: https://doi.org/10.1016/j.tre.2021.102325
[3] The Logistics World., El Auge del comercio electrónico en Latinoamérica: Cómo la Logística de última Milla Está Transformando El Sector. [online]. 2024. Available at: https://thelogisticsworld.com/logistica-comercio-electronico/el-auge-del-comercio-electronico-en-latinoamerica-como-la-logistica-de-ultima-milla-esta-transformando-el-sector
[4] Boysen, N., Fedtke, S., and Schwerdfeger, S., Last-mile delivery concepts: a survey from an operational research perspective, OR Spectrum, 43, pp. 1–58, 2021. DOI: https://doi.org/10.1007/S00291-020-00607-8
[5] Patella, S.M., Grazieschi, G., Gatta, V., Marcucci, E., and Carrese, S., The adoption of green vehicles in last mile logistics: a systematic review. Sustainability, 13(1), art. 6. 2021. DOI: https://doi.org/10.3390/su13010006
[6] Muñoz-Villamizar, A., Solano-Charris, E., Reyes-Rubiano, L., and Faulin., J., Measuring Disruptions in Last-Mile Delivery Operations. Logistics., 5(1), art. 17, 2021. DOI: https://doi.org/10.3390/LOGISTICS5010017
[7] Eskandaripour, H., and Boldsaikhan. E., Last-Mile Drone Delivery: past, present, and future. Drones, 7(2), Art. 77, 2023. DOI: https://doi.org/10.3390/drones7020077
[8] Scopus, “Documents search results,” Elsevier, [Online]. 2025. Available at: https://www-scopus-com.bdbiblioteca.universidadean.edu.co/results/results.uri?st1=drone&st2=&s=%28TITLE-ABS-KEY%28drone%29+AND+TITLE-ABS-KEY%28last+mile+delivery%29%29&limit=10&origin=searchbasic&sort=plf-f&src=s&sot=b&sdt=b&sessionSearchId=5b92db2bb273c5e0c9f84bff31538547&yearFrom=2019&yearto=2025&cluster=scosubtype%2C%22ar%22%2Ct
[9] Fehling, C., and Saraceni, A., Technical and legal critical success factors: feasibility of drones and AGV in the last-mile-delivery. Research in Transportation Business and Management, 50, Art. 101029, 2023. DOI: https://doi.org/10.1016/j.rtbm.2023.101029
[10] Sah, B., Gupta, R., and Bani-Hani, D., Analysis of barriers to implement drone logistics, International Journal of Logistics Research and Applications, 24(6), pp. 531–550, 2020. DOI: https://doi.org/10.1080/13675567.2020.1782862
[11] Pacheco, D.A.D.J., Sarker, S., Bilal, M., Chamola, V., and Garza-Reyes, J.A., Opportunities and challenges of drones and internet of drones in healthcare supply chains under disruption, Production Planning and Control, 36(15), pp. 2009–2031, 2024. DOI: https://doi.org/10.1080/09537287.2024.2437041
[12] Hernández-Sampieri, R., and Mendoza Torres, C.P., Metodología de Available at: la investigación, McGraw-Hill Interamericana, [online]. 2023. Available at: https://www-ebooks7-24-com.bdbiblioteca.universidadean.edu.co/?il=31455
[13] Jalali, S., and Wohlin, C., Systematic literature studies: database searches vs. backward snowballing, Proc. Int. Symp. on Empirical Software Engineering and Measurement, pp. 29–38, 2012. DOI: https://doi.org/10.1145/2372251.2372257
[14] Pina-Pardo, J.C., Silva, D.F., Smith, A.E., and Gatica, R.A., Fleet resupply by drones for last-mile delivery. European Journal of Operational Research, 316(1), pp. 168–182, 2024. DOI: https://doi.org/10.1016/j.ejor.2024.01.045
[15] Nguyen, M.A., Luong, H.L., Hà, M.H., and Ban, H.B., An efficient branch-and-cut algorithm for the parallel drone scheduling traveling salesman problem, 4OR. 21(4), pp. 609-637. 2023. DOI: https://doi.org/10.48550/arXiv.2111.11307
[16] Bridgelall, R., Spatial analysis of middle-mile transport for advanced air mobility: A Case Study of Rural North Dakota, Sustainability, 16(20), art. 8949, 2024. DOI: https://doi.org/10.3390/su16208949
[17] Peng, Y., Zhu, W., Yu, D.Z., Liu, S., and Zhang, Y., Multi-depot electric vehicle–drone collaborative-delivery routing optimization with time-varying vehicle travel time, vehicles, 6(4), pp. 1812-1842, 2024. DOI: https://doi.org/10.3390/vehicles6040088
[18] Zhang, J., Campbell, J.F., Sweeney, D.C., and Hupman, A.C., Energy consumption models for delivery drones: a comparison and assessment, Transportation Research Part D: transport and environment, 90, art. 102668, 2021. DOI: https://doi.org/10.1016/j.trd.2020.102668
[19] Peng, Y., Zhang, Y., Yu, D.Z., Liu, S., Zhang, Y., and Shi, Y., Optimizing multi-depot mixed fleet vehicle–drone routing under a carbon trading mechanism, mathematics, 12(24), art. 4023, 2024. DOI: https://doi.org/10.3390/math12244023
[20] Madani, B., and Ndiaye, M., Drone delivery systems for logistics operations: identification of regulatory challenges, in Proc. IEEE Int. Conf. on Engineering, Technology and Innovation (ICE/ITMC), pp. 1-7, art. 2420, 2023. DOI: https://doi.org/10.1109/ICE/ITMC58018.2023.10332420
[21] Muñoz, G., Barrado, C., Çetin, E., and Salami, E., Deep reinforcement learning for drone delivery, Drones, 3(3), art. 72, 2019. DOI: https://doi.org/10.3390/drones3030072
[22] Borghetti, F., Caballini, C., Carboni, A., Grossato, G., Maja, R., and Barabino, B., the use of drones for last-mile delivery: a numerical case study in Milan, Italy, Sustainability, 14(3), art. 1766, 2022. DOI: https://doi.org/10.3390/su14031766
[23] Murray, C.C., and Raj, R., The multiple flying sidekicks traveling salesman problem: parcel delivery with multiple drones, Transportation Research Part C: Emerging Technologies, 110, pp. 368–398, 2020. DOI: https://doi.org/10.1016/j.trc.2019.11.003
[24] Sacramento, D., Pisinger, D., and Røpke, S., An adaptive large neighborhood search metaheuristic for the vehicle routing problem with drones, Transportation Research Part C: Emerging Technologies, 102, pp. 289–315, 2019. DOI: https://doi.org/10.1016/j.trc.2019.02.018
[25] Macrina, G., Di-Puglia-Pugliese, L., Guerriero, F., and Laporte, G., “Drone-aided routing: a literature review,” Transportation Research Part C: Emerging Technologies, 120, Art. 102762, 2020. DOI: https://doi.org/10.1016/j.trc.2020.102762
[26] Bao-D, Y., Yan, Li, Y., and Chu, J., "The Future of Last-Mile Delivery: lifecycle environmental and economic impacts of drone-truck parallel systems," Drones, 9(1), art. 54, 2025. DOI: https://doi.org/10.3390/drones9010054
[27] Zhi-Hua, H., Huang, Y.L., Li, Y.N., and Bao, X.Q., Drone-based instant delivery hub-and-spoke network optimization. drones, 8(6), art. 247. 2024. DOI: https://doi.org/10.3390/drones8060247
[28] E.A., Ameso., Digital entanglements: medical drones in African healthcare systems. Global Public Health, 19(1). art. 2405987, 2024 DOI: https://doi.org/10.1080/17441692.2024.2405987
[29] Ganjipour, H., and Edrisi, A., Applying the integrated model to understanding online buyers’ intention to adopt delivery drones in Iran. Transportation Letters, 15(2), pp. 98–110. 2022. DOI: https://doi.org/10.1080/19427867.2022.2035130
[30] Choi, Y., and Schonfeld, P.M., A comparison of optimized deliveries by drone and truck. Transportation Planning and Technology, 44(3), pp. 319–336. 2021. DOI: https://doi.org/10.1080/03081060.2021.1883230
[31] Aurambout, J., Gkoumas, K., and Ciuffo, B. Last mile delivery by drones: an estimation of viable market potential and access to citizens across European cities. European Transport Research Review, 11(30), pp.1-21, 2019. DOI: https://doi.org/10.1186/s12544-019-0368-2
[32] Ackerman, E., and Koziol, M., "The blood is here: Zipline's medical delivery drones are changing the game in Rwanda," IEEE Spectrum, 56(5), pp. 24–31, 2019. DOI: https://doi.org/10.1109/MSPEC.2019.8701196
[33] Tokosh, J., and Chen X., "Delivery by Drone: estimating market potential and access to consumers from existing Amazon Infrastructure," Papers in Applied Geography, 8(4), pp. 414–433, DOI: https://doi.org/10.1080/23754931.2022.2105167
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