Impact of inter-urban street lighting on users perception of road safety behavior: A Case of Jalan Majalengka-Rajagaluh
DOI:
https://doi.org/10.53866/jimi.v2i5.183Keywords:
Road lighting, Road user safety, Road safetyAbstract
Road lighting is one of the main things needed by road users to improve safety when driving at night. However, frequently road lights that meet the standards are only on large-scale roads. On the other hand, in general, road users in Majalengka tend to use high speeds. Based on this, this study aims to analyze the impact of lighting on the safety of road users in Jalan Majalengka-Rajagaluh. The research method used in this study is a perceptual analysis method. The results show an average value of road lighting importance is 9.47, the average satisfaction is 6.12, and the average gap is -3.35. Many variables are in quadrant IV, which indicates that many variables still require more concentration to increase. Therefore, according to road users' perception, road lighting is considered essential in various aspects, but road users still feel it is necessary to improve road lighting performance.
References
Ashraf, I., Hur, S., Shafiq, M., & Park, Y. (2019). Catastrophic factors involved in road accidents: Underlying causes and descriptive analysis. PLOS ONE, 13.
Bozorg, S. (2019). The effect of different road lighting levels on drivers' visual performance under various conditions. Aalto University Publication Series , 73.
Chenani, S. B., Räsänen, R.-S., & Tetri, E. (2018). Advancement In Road Lighting. Light & Engineering (26:2), 100.
Dayana, I. (2021). Study The Influence Of Light And Distance To Reduce Traffic Accident. Invention, 2(2), 15.
Fotios, S., & Gibbons, R. (2018). Road lighting research for drivers and pedestrians: The basis of luminance and illuminance recommendations. Lighting Res. Technol (50), 162.
Heydari, S., Hickford, A., Mcllroy, R., Turner, J., & Bachani, A. M. (2019). Road Safety in Low-Income Countries: State of Knowledge and Future Directions. sustainability, 8.
Jameel, A. K., & Evdorides, H. (2020). Developing a safer road user behaviour index. International Association of Traffic and Safety Sciences, 1.
Malik, F. A., Jabbar, S. F., & Rashid, I. U. (2017). Road Accidents and Prevention. International Journal of Engineering Development and Research, 5 (2), 40-41.
Marchant, P., Hale, J. D., & Sadler, J. P. (2020). Does changing to brighter road lighting improve road safety? Multilevel longitudinal analysis of road traffic collision frequency during the relighting of a UK city. J Epidemiol Community Health (74), 467.
Martinez, S., Sanchez, R., & YañezPagans. (2019). Road safety: challenges and opportunities in Latin America and the Caribbean. Latin American Economic Review 28:17, 25.
Mphela, T. (2020). Causes of road accidents in Botswana: An econometric model. Journal of Transport and Supply Chain Management, 7.
Muhammad, L. J., Salisu, S., Yakubu, A., Malgwi, Y. M., Abdullahi, E. T., Mohammed, I. A., & Muhammad, N. A. (2017). Using Decision Tree Data Mining Algorithm to Predict Causes of Road Traffic Accidents, its Prone Locations and Time along Kano-Wudil Highway. International Journal of Database Theory and Application (10), 206.
Peña-García, A., & Nguyen, T. P. (2018). A Global Perspective for Sustainable Highway Tunnel Lighting Regulations: Greater Road Safety with a Lower Environmental Impact. International Journal of Environmental Research and Public Health, 01.
Ptak, M. (2019). Method to Assess and Enhance Vulnerable Road User Safety during Impact Loading. applied science mdpi, 15.
Rifai, A., Prasetyo, E., & Rhismono. (2023). Analysis of Community Satisfaction Level on the Road Rehabilitation and Reconstruction Project (Learn from Palu Disasters Area). Lecture Notes in Civil Engineering, vol 225, 302.
Rifai, A. I., Hadiwardoyo, S. P., Correia, A. G., & Pereira, P. A. (2016). Genetic Algorithm Applied for Optimization of Pavement Maintenance under Overload Traffic: Case Study Indonesia National Highway. Applied Mechanics and Materials (Vol. 845) (pp. 369-378). Trans Tech Publications Ltd.
Rifai, A. I., Hadiwardoyo, S. P., Correia, A. G., Pereira, P., & Cortez, P. (2015). The data mining applied for the prediction of highway roughness due to overloaded trucks. International Journal of Technology, 6(5), 751-761.
Rifai, A. I. (2021). Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters). In (Ed.), Data Mining - Concepts and Applications. IntechOpen. https://doi.org/10.5772/intechopen.99349
Rifai, A., A. S., & Isradi, M. (2022). Analysis of Road Performance and the impact of Development in Pasar Minggu, Jakarta : Case Study of Jalan Lenteng Agung-Tanjung Barat. ADRI International Journal of Civil Engineering, 68-74.
Rolison, J. J., Regev, S., Moutari, S., & Feeney, A. (2018). What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records. elsevier, 11.
Salum, J. H., Kitali, A. E., Bwire, Hannibal, Sando, T., & Alluri, P. (2019). Severity of motorcycle crashes in Dar es Salaam, Tanzania. Traffic Injury Prevention, 20:2, 194.
Singh, S. K. (2017). Road Traffic Accidents in India: Issues and Challenges. Transportation Research Procedia 25, 4718.
Uttley, J., & Fotios, S. (2017). The effect of ambient light condition on road traffic collisions involving pedestrians on pedestrian crossings. Accident Analysis and Prevention 108, 196.
Yao, Q., Wang, H., Uttley, J., & Zhuang, X. (2018). Illuminance Reconstruction of Road Lighting in Urban Areas for Efficient and Healthy Lighting Performance Evaluation. Applied Sciences, 5.
Yao, Q., Wang, H., Uttley, J., & Zhuang, X. (2018). Illuminance Reconstruction of Road Lighting in Urban Areas for Efficient and Healthy Lighting Performance Evaluation. Applied Science, 2.
Zhang, J., Zou, X., Kuang, L.-D., Wang, J., Sherratt, R. S., & Yu, X. (2021). CCTSDB 2021: A More Comprehensive Traffic Sign Detection Benchmark. Human-centric Computing and Information Sciences, 12, 6.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Vena Nuri Sumantri, Andri Irfan Rifai, Ferial Ferial
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
