Mapping of Human Global Control System to Transportation and Logistics activity: review and synthesis
Keywords:
GPS transportation logistics function systematic Literature ReviewAbstract
This paper objective is to perform a comprehensive analysis, mapping the main and secondary functions of human global control systems (HGCS) known well as Global positioning systems (GPS) in logistics and transportation starting from 2019 when COVID-19 affected the industry. The role of GPS in the world become highly significant in assisting humans and controlling the equipment involved in logistics and transportation in the world, especially in optimizing business. Regardless of the increasing interest from academicians and practitioners, there should be some limitations of the recent reviews describing the functions and possible trends of using the HGCS in the future. To fill the gap, the review used a systematic literature review and thematic analysis of 107 Scopus-indexed articles for tier Q1 and Q2 from 2019 to 2024. Based on the review, an integrative multidimensional framework based on the country study, main context, focus, and main to secondary function category. As a result this evaluation exposes essential trends in the article, author, nation, journal performance, and past, present, and future endorser research theme tendencies. Various research gaps are identified, and avenues for future research are proposed that reflect essential emerging areas and unexplored realms regarding the theory, methodology, and context framework that may useful for logistics and transportation industry continuity in the world.he abstract should be clear, concise, and descriptive.
References
Adam, A., Finance, O., & Thomas, I. (2021). Monitoring trucks to reveal Belgian geographical structures and dynamics: From GPS traces to spatial interactions. Journal of Transport Geography, 91, 102977. https://doi.org/10.1016/j.jtrangeo.2021.102977
Ahn, S. J., Han, S., Altaf, M. S., & Al-Hussein, M. (2022). Integrating off-site and on-site panelized construction schedules using fleet dispatching. Automation in Construction, 137, 104201. https://doi.org/10.1016/j.autcon.2022.104201
Azad, M., Rose, W. J., MacArthur, J. H., & Cherry, C. R. (2023). E-trikes for urban delivery: An empirical mixed-fleet simulation approach to assess city logistics sustainability. Sustainable Cities and Society, 96, 104641. https://doi.org/10.1016/j.scs.2023.104641
Bao, J., Liu, P., & Ukkusuri, S. V. (2019). A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data. Accident Analysis & Prevention, 122, 239–254. https://doi.org/10.1016/j.aap.2018.10.015
Bella, F., & Gulisano, F. (2020). A hazard-based model of the motorcyclists’ overtaking duration. Accident Analysis & Prevention, 141, 105522. https://doi.org/10.1016/j.aap.2020.105522
Brusselaers, N., Huang, H., Macharis, C., & Mommens, K. (2023). A GPS-based approach to measure the environmental impact of construction-related HGV traffic on city level. Environmental Impact Assessment Review, 98, 106955. https://doi.org/10.1016/j.eiar.2022.106955
Cedillo-Campos, M. G., Pérez-González, C. M., Piña-Barcena, J., & Moreno-Quintero, E. (2019). Measurement of travel time reliability of road transportation using GPS data: A freight fluidity approach. Transportation Research Part A: Policy and Practice, 130, 240–288. https://doi.org/10.1016/j.tra.2019.09.018
Chen, Y.-T., Sun, E. W., Chang, M.-F., & Lin, Y.-B. (2021). Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0. International Journal of Production Economics, 238, 108157. https://doi.org/10.1016/j.ijpe.2021.108157
D’Amico, G., Szopik-Depczyńska, K., Dembińska, I., & Ioppolo, G. (2021). Smart and sustainable logistics of Port cities: A framework for comprehending enabling factors, domains and goals. Sustainable Cities and Society, 69, 102801. https://doi.org/10.1016/j.scs.2021.102801
Farrukh, M., Meng, F., Wu, Y., & Nawaz, K. (2020). Twenty‐eight years of business strategy and the environment research: A bibliometric analysis. Business Strategy and The Environment, 29, 2572–2582. https://api.semanticscholar.org/CorpusID:219737826
Göcke, L., Hülsebusch, K., & Menter, M. (2022). The legitimacy of corporate entrepreneurship: a structured literature review. Management Review Quarterly, 72(2), 385–416. https://doi.org/10.1007/s11301-021-00246-5
Hill, A. M., Schild, K. M., Campbell, S. W., & Child, S. F. (2022). Recent changes in the McMurdo Ice Shelf Transition Zone and Hut Point Peninsula, West Antarctica. Cold Regions Science and Technology, 202, 103615. https://doi.org/10.1016/j.coldregions.2022.103615
Huk, K., & Kurowski, M. (2022). Innovations and new possibilities of vehicle tracking in transport and forwarding. Wireless Networks, 28(1), 481–491. https://doi.org/10.1007/s11276-021-02623-0
Li, G. (2021). RETRACTED: Development of cold chain logistics transportation system based on 5G network and Internet of things system. Microprocessors and Microsystems, 80, 103565. https://doi.org/10.1016/j.micpro.2020.103565
Liu, K., He, Z., Lin, P., Zhao, X., Chen, Q., Su, H., Luo, Y., Wu, H., Sheng, X., & Chen, Y. (2022). Highly-efficient cold energy storage enabled by brine phase change material gels towards smart cold chain logistics. Journal of Energy Storage, 52, 104828. https://doi.org/10.1016/j.est.2022.104828
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Norris, M., & Oppenheim, C. (2007). Comparing alternatives to the Web of Science for coverage of the social sciences’ literature. Journal of Informetrics, 1(2), 161–169. https://doi.org/https://doi.org/10.1016/j.joi.2006.12.001
Panic, N., Leoncini, E., de Belvis, G., Ricciardi, W., & Boccia, S. (2013). Evaluation of the endorsement of the preferred reporting items for systematic reviews and meta-analysis (PRISMA) statement on the quality of published systematic review and meta-analyses. PloS One, 8(12), e83138. https://doi.org/10.1371/journal.pone.0083138
Patel, R., Desai, A., Upadhyaya, T., Nguyen, T. K., Kaushal, H., & Dhasarathan, V. (2021). Meandered low profile multiband antenna for wireless communication applications. Wireless Networks, 27(1), 1–12. https://doi.org/10.1007/s11276-020-02437-6
Pérez-González, C. M., Mora-Vargas, J., Piña-Barcenas, J., & Cedillo-Campos, M. G. (2024). Method for travel time prediction in emerging markets based on anonymous truck GPS data. Annals of Operations Research, 342(1), 585–620. https://doi.org/10.1007/s10479-023-05354-x
Rocha, P. I., Caldeira de Oliveira, J. H., & Giraldi, J. de M. E. (2020). Marketing communications via celebrity endorsement: an integrative review. Benchmarking: An International Journal, 27(7), 2233–2259. https://doi.org/10.1108/BIJ-05-2018-0133
Siddaway, A. P., Wood, A. M., & Hedges, L. V. (2019). How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses. Annual Review of Psychology, 70, 747–770. https://doi.org/10.1146/annurev-psych-010418-102803
Stipancic, J., Miranda-Moreno, L., Saunier, N., & Labbe, A. (2019). Network screening for large urban road networks: Using GPS data and surrogate measures to model crash frequency and severity. Accident Analysis & Prevention, 125, 290–301. https://doi.org/10.1016/j.aap.2019.02.016
Thodberg, K., Foldager, L., Fogsgaard, K. K., Gaillard, C., & Herskin, M. S. (2022). Temperature conditions during commercial transportation of cull sows to slaughter. Computers and Electronics in Agriculture, 192, 106626. https://doi.org/10.1016/j.compag.2021.106626
Trent, N. M., & Joubert, J. W. (2022). Logistics sprawl and the change in freight transport activity: A comparison of three measurement methodologies. Journal of Transport Geography, 101, 103350. https://doi.org/10.1016/j.jtrangeo.2022.103350
Wang, A. L., Bista, S., Can, A., & Chaix, B. (2023). Personal noise exposure during daily commutes and subjectively reported stress: A trip stage level analysis of MobiliSense data. Journal of Transport & Health, 30, 101612. https://doi.org/10.1016/j.jth.2023.101612
Waqas, M., Hamzah, Z. L. B., & Salleh, N. A. M. (2021). Customer experience: a systematic literature review and consumer culture theory-based conceptualisation. Management Review Quarterly, 71(1), 135–176. https://doi.org/10.1007/s11301-020-00182-w
Zong, F., Tian, Y., He, Y., Tang, J., & Lv, J. (2019). Trip destination prediction based on multi-day GPS data. Physica A: Statistical Mechanics and Its Applications, 515, 258–269. https://doi.org/10.1016/j.physa.2018.09.090
Downloads
Published
How to Cite
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Wynd Rizaldy, Sarinah Sihombing, primadi candra, simon gultom

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.