Lane Widening for Maintenance Sustainable Road Performance in Archipelago: A Bibliometric Analysis
https://doi.org/10.56225/ijgoia.v3i2.342
Keywords:
Traffic Data, Safety Road, Road Performance, Prediction, Road Widening, ArchipelagoAbstract
This bibliometric study analyzes global research on the impact of lane widening for maintaining road performance in archipelagic regions sustainably, covering the period from 2000 to 2023. The research was collected using the Publish or Perish application and processed in the Research Information Systems (RIS) format through the VOSviewer application. The data set comprises 1,000 studies, including 551 research journals, 287 books, 114 conference components, 38 articles, 3 datasets, 3 monographs, and 4 reports. The study identifies "safety road" and "traffic data" as the most prevalent keywords, with various other related keyword networks also emerging. The analysis reveals a growing trend in research on lane widening and road performance across different global regions, indicating increasing interest in sustainable road management strategies, particularly in archipelagic and island contexts. The study highlights how the field has evolved over the last two decades by mapping the connections between key terms and studies. The findings suggest that lane widening to maintain road safety and performance is a significant area of focus in road infrastructure research. Furthermore, the study emphasizes the potential for these findings to contribute to developing future sustainable transportation solutions. The study provides a comprehensive literature source and highlights opportunities for further studies in sustainable road infrastructure development, especially within the unique challenges of archipelagic environments.
Downloads
References
Alfaro-Almagro, F., Jenkinson, M., Bangerter, N. K., Andersson, J. L., Griffanti, L., Douaud, G., & Smith, S. M. (2018). Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage, 166, 400-424.
Arain, Q. A. (2018). Location monitoring approach: multiple mix-zones with location privacy protection based on traffic flow over road networks. Multimedia Tools and Applications, 77, 5563-5607.
Arias, N. B., Hashemi, S., Andersen, P. B., Træholt, C., & Romero, R. (2019). Distribution system services provided by electric vehicles: Recent status, challenges, and future prospects. IEEE Transactions on Intelligent Transportation Systems, 20(12), 4277-4296.
Bibi, R., Saeed, Y., Zeb, A., Ghazal, T. M., Rahman, T., Said, R. A., & Khan, M. A. (2021). Edge AI-based automated detection and classification of road anomalies in VANET using deep learning. Computational intelligence and neuroscience, 2021, 1-16.
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: lessons from tourism and hospitality. Journal of Service Management, 30(4), 484-506.
Chen, Y., Guizani, M., Zhang, Y., Wang, L., Crespi, N., Lee, G. M., & Wu, T. (2018). When traffic flow prediction and wireless big data analytics meet. IEEE network, 33(3), 161-167.
Cullen, D. A., Neyerlin, K. C., Ahluwalia, R. K., Mukundan, R., More, K. L., Borup, R. L., & Kusoglu, A. (2021). New roads and challenges for fuel cells in heavy-duty transportation. Nature energy, 6(5), 462-474.
Dhamija, P., & Bag, S. (2020). Role of artificial intelligence in operations environment: a review and bibliometric analysis. The TQM Journal, 869-896.
Dia, Z., Zheng, L., Lu, L., & Guan, W. (2018). Erasing lane changes from roads: A design of future road intersections. IEEE Transactions on Intelligent Vehicles, 3(2), 173-184.
Diao, P. H., & Shih, N. J. (2019). Trends and research issues of augmented reality studies in architectural and civil engineering education—A review of academic journal publications. Applied Sciences, 9(9), 1840.
Dinh, T. T. (2019). Managing traffic congestion in a city: A study of Singapore’s experiences. Research Gate, 1-10.
Domaradzka, A. (2018). Urban social movements and the right to the city: An introduction to the special issue on urban mobilization. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 29, 607-620.
Fellows, R. F., & Liu, A. M. (2021). Research methods for construction. John Wiley & Sons.
Fisu, A. A., Hafid, Z., Humang, W. P., & Natsir, R. (2022). Application of The PPP Scheme on The Tourism-Transportation, Case Study: The Concept Of Palopo City Tourism. PENA TEKNIK: jurnal ilmiah ilmu-ilmu Teknik, 7(1), 35-52.
Garcia, I. (2020). e-Leadership: A Bibliometric Analysis. International Journal of Advanced Corporate Learning, 1.
Gong, S., & Du, L. (2018). Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles. Transportation research part B: methodological, 116, 25-61.
Guo, S. L., Feng, N., Song, C., & Wan, H. (2019). Attention based spatial-temporal graph convolutional networks for traffic flow forecasting. In Proceedings of the AAAI conference on artificial intelligence, 33(1), 922-929.
Kalghatgi, G. (2018). Is it really the end of internal combustion engines and petroleum in transport? Applied energy, 225, 965-974.
Kessels, F., Kessels, R., & Rauscher. (2019). Traffic flow modelling. Springer International Publishing.
Khanna, A., Goyal, R., Verma, M., & Joshi, D. (2019). Intelligent traffic management system for smart cities. In Futuristic Trends in Network and Communication Technologies: First International Conference, FTNCT 2018, Solan, India, February 9–10, 2018, Revised Selected Papers 1, 152-164.
Kumar, A. G. (2020). When and where should there be dedicated lanes under mixed traffic of automated and human-driven vehicles for system-level benefits? Research in Transportation Business & Management, 36, 100527.
Lana, I. D. (2018). Road traffic forecasting: Recent advances and new challenges. IEEE Intelligent Transportation Systems Magazine, 10(2), 93-109.
Lana, I., Del Ser, J., Velez, M., & Vlahogianni, E. I. (2018). Road traffic forecasting: Recent advances and new challenges. IEEE Intelligent Transportation Systems Magazine, 10(2), 93-109.
Lana, I., Del Ser, J., Velez, M., & Vlahogianni, E. I. (2018). Road traffic forecasting: Recent advances and new challenges. IEEE Intelligent Transportation Systems Magazine, 10(2), 93-109.
Li, L., Jiang, R., He, Z., Chen, X. M., & Zhou, X. (2020). Trajectory data-based traffic flow studies: A revisit. Transportation Research Part C: Emerging Technologies, 114, 225-240.
Limkar, S., Rajmane, O., Bhosale, A., & Rane, V. (2018). Small effort to build Pune as a smart city: Smart real-time road condition detection and efficient management system. In Smart Computing and Informatics: Proceedings of the First International Conference on SCI 2016, 2, 609-621.
Lu, Q., Tettamanti, T., Hörcher, D., & Varga, I. (2020). The impact of autonomous vehicles on urban traffic network capacity: an experimental analysis by microscopic traffic simulation. Transportation Letters, 12(8), 540-549.
Lyons, G. (2018). Getting smart about urban mobility–aligning the paradigms of smart and sustainable. Transportation Research Part A: Policy and Practice, 115, 4-14.
Mali, B., Shrestha, A., Chapagain, A., Bishwokarma, R., Kumar, P., & Gonzalez-Longatt, F. (2022). Challenges in the penetration of electric vehicles in developing countries with a focus on Nepal. Renewable Energy Focus, 40, 1-12.
Mannering, F. L., & Washburn, S. S. (2020). Principles of highway engineering and traffic analysis. John Wiley & Sons.
Mattioli, G., Roberts, C., Steinberger, J. K., & Brown, A. (2020). The political economy of car dependence: A systems of provision approach. Energy Research & Social Science, 66, 101486.
McAllister, J. T., Lennertz, L., & Atencio Mojica, Z. (2022). Mapping a discipline: a guide to using VOSviewer for bibliometric and visual analysis. Science & Technology Libraries, 41(3), 319-348.
McCann, P., & Ortega-Argilés, R. (2018). Smart specialization, regional growth and applications to European Union cohesion policy. In Place-based Economic Development and the New EU Cohesion Policy, 51-62.
Mishra, M., Lourenço, P. B., & Ramana, G. V. (2022). Structural health monitoring of civil engineering structures by using the internet of things: A review. Journal of Building Engineering, 48, 103954.
Nardi, P. M. (2018). Doing survey research: A guide to quantitative methods. Routledge.
Novikov, A., Novikov, I., & Shevtsova, A. (2019). Modeling of traffic-light signalization depending on the quality of traffic flow in the city. Journal of applied engineering science, 17(2), 175-181.
Pan, Y., & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, 103517.
Pan, Y., & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, 103517.
PE, R. L., PE, C. J., PE, R. L., & Shapira, A. (2018). Construction planning, equipment, and methods. McGraw-Hill Education.
PUPR, K. (2023, January 26). Kementerian PUPR. Retrieved from pu.go.id: https://pu.go.id/berita/kementerian-pupr-targetkan-tingkat-kemantapan-jalan-nasional-tahun-2023-mencapai-9357
Rodrigue, J. P. (2020). The geography of transport systems. Routledge.
Shahu, J. T., Sivakumar Babu, G. L., & Usmani, A. (2020). Developments in transportation geotechnics. Indian Geotechnical Journal, 50, 157-158.
Shladover, S. E. (2018). Connected and automated vehicle systems: Introduction and overview. Journal of Intelligent Transportation Systems, 22(3), 190-200.
Shladover, S. E. (2018). Connected and automated vehicle systems: Introduction and overview. Journal of Intelligent Transportation Systems, 22(3), 190-200.
Simoni, M. D., & Claudel, C. G. (2018). A simulation framework for modeling urban freight operations impacts on traffic networks. Simulation Modelling Practice and Theory, 86, 36-54.
Singh, H., & Kathuria, A. (2021). Analyzing driver behavior under naturalistic driving conditions: A review. Accident Analysis & Prevention, 150, 105908.
Thompson, R., Peroni, R., & Visser, A. T. (2019). Mining haul roads: Theory and practice. CRC Press.
Tseng, F. H., Hsueh, J. H., Tseng, C. W., Yang, Y. T., Chao, H. C., & Chou, L. D. (2018). Congestion prediction with big data for real-time highway traffic. IEEE Access, 6, 57311-57323.
Yu, G., Zhang, S., Hu, M., & Wang, Y. K. (2020). Prediction of highway tunnel pavement performance based on digital twin and multiple time series stacking. Advances in Civil Engineering, 2020, 1-21.
Zhu, L., Yu, F. R., Wang, Y., Ning, B., & Tang, T. (2018). Big data analytics in intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), 383-398.
Zhu, W. X., & Zhang, H. M. (2018). Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model. Physica A: Statistical Mechanics and its Applications, 496, 274-285.
Zou, X., Yue, W. L., & Le Vu, H. (2018). Visualization and analysis of mapping knowledge domain of road safety studies. Accident Analysis & Prevention, 118, 131-145.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
