ASSESSING THE IMPACT OF LEVEL CROSSINGS ON VEHICLE EMISSIONS FOR SUSTAINABLE URBAN TRANSPORTATION

Mira Lestira Hariani; Yackob` Astor; Ikhlas Maddinah Pradana

doi:10.35814/xje1p273

Authors

Mira Lestira Hariani Universitas Swadaya Gunung Jati
Yackob Astor Politeknik Negeri Bandung
Ikhlas Maddinah Pradana Universitas Swadaya Gunung Jati

DOI:

https://doi.org/10.35814/xje1p273

Keywords:

Level crossing, CO₂ emissions, Urban traffic delay, Idle vehicles, regression analysis

Abstract

Level crossings are a persistent source of traffic congestion and vehicular emissions in many urban areas, particularly in mid-sized cities where road and rail networks intersect at grade. This study investigates the impact of level crossing operations on vehicle CO₂ emissions by analyzing traffic delays caused by train movements at nine crossings in Cirebon City, Indonesia. Using field observations, four traffic-related variables were collected: train frequency (crossings/day), average waiting time (seconds), queue length (meters), and idle vehicle count (vehicles/day). Emissions were estimated using the IPCC Tier 1 methodology, and a multiple linear regression model was developed to assess the relationship between traffic conditions and daily CO₂ emissions. The results show that train frequency and idle vehicle count are statistically significant predictors of emissions, with each additional train and idle vehicle contributing substantially to total CO₂ output. While waiting time and queue length were less significant, their influence was observed to be moderated by vehicle type and traffic density. The regression model explains 99.6% of the variance in emissions (Adjusted R² = 0.996), underscoring the strength of the identified predictors. This study highlights the need for localized emission mitigation strategies, such as optimizing train schedules, improving traffic flow near crossings, and accounting for vehicle composition in emission control policies. The methodology and findings provide a practical framework for traffic-environmental assessments in similar urban settings.

References

Anjos, M., & Meier, F. (2025). Zooming Into Berlin: Tracking Street-Scale CO2 Emissions Based on High-Resolution Traffic Modeling Using Machine Learning. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1461656

Caviedes, Á., Bigazzi, A., & Figliozzi, M. (2016). Modeled Effects of Traffic Fleet Composition on the Toxicity of Volatile Organic Compound Emissions. Transportation Research Record Journal of the Transportation Research Board, 2570(1), 118–126. https://doi.org/10.3141/2570-13

Cheng, Y.-H., Chang, Y., & Lu, I. J. (2015). Urban Transportation Energy and Carbon Dioxide Emission Reduction Strategies. Applied Energy, 157, 953–973. https://doi.org/10.1016/j.apenergy.2015.01.126

Ernwati, H., Bindar, Y., Purqon, A., & Srigutomo, W. (2022). Prediction of Carbon Monoxide Concentration With Variation of Support Vector Regression Kernel Parameter Value. Journal of Mathematical and Fundamental Sciences, 54(1), 39–53. https://doi.org/10.5614/j.math.fund.sci.2022.54.1.3

Gan, J., Li, L., Xiang, Q., & Ran, B. (2020). A Prediction Method of GHG Emissions for Urban Road Transportation Planning and Its Applications. Sustainability, 12(24), 10251. https://doi.org/10.3390/su122410251

Hassan, N. E., & Ageed, S. (2024). Assessing the Impact of CO2 Emissions From Transport and Power on Health and Environment in Duhok, Kurdistan Region, Iraq. Ijamrs, 4(5), 704–707. https://doi.org/10.62225/2583049x.2024.4.5.3313

Jamal, A., Rahman, M. T., Al-Ahmadi, H. M., Ullah, I., & Zahid, M. (2020). Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms. Sustainability, 12(5), 1896. https://doi.org/10.3390/su12051896

Jang, S., Song, K. H., Kim, D., Ko, J., Lee, S. M., Elkosantini, S., & Suh, W. (2023). Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption. Sustainability, 15(5), 4421. https://doi.org/10.3390/su15054421

Jo, H., & Kim, H. (2021). Developing a Traffic Model to Estimate Vehicle Emissions: An Application in Seoul, Korea. Sustainability, 13(17), 9761. https://doi.org/10.3390/su13179761

Kholod, N., Evans, M., Gusev, E., Yu, S., Malyshev, V., Tretyakova, S., & Barinov, A. S. (2016). A Methodology for Calculating Transport Emissions in Cities With Limited Traffic Data: Case Study of Diesel Particulates and Black Carbon Emissions in Murmansk. The Science of the Total Environment, 547, 305–313. https://doi.org/10.1016/j.scitotenv.2015.12.151

Konečný, V., Gnap, J., Settey, T., Petro, F., Skrúcaný, T., & Figlus, T. (2020). Environmental Sustainability of the Vehicle Fleet Change in Public City Transport of Selected City in Central Europe. Energies, 13(15), 3869. https://doi.org/10.3390/en13153869

Kulick, E. R., Wellenius, G. A., Boehme, A. K., Joyce, N. R., Schupf, N., Kaufman, J. D., Mayeux, R., Sacco, R. L., Manly, J. J., & Elkind, M. S. (2020). Long-Term Exposure to Air Pollution and Trajectories of Cognitive Decline Among Older Adults. Neurology, 94(17). https://doi.org/10.1212/wnl.0000000000009314

Leong, L. V, & Shafie, S. A. M. (2024). Traffic Emissions Before and After Development Based on Traffic Impact Assessment. Iop Conference Series Earth and Environmental Science, 1368(1), 12012. https://doi.org/10.1088/1755-1315/1368/1/012012

Li, T., Gong, B., Peng, Y., Nie, J., Wang, Z., Chen, Y., Xie, G., Wang, K., & Zhang, H. (2023). Analysis and Comparative Study of Signalized and Unsignalized Intersection Operations and Energy-Emission Characteristics Based on Real Vehicle Data. Energies, 16(17), 6235. https://doi.org/10.3390/en16176235

Li, X., Dallmann, T. R., May, A. A., & Presto, A. A. (2020). Seasonal and Long-Term Trend of on-Road Gasoline and Diesel Vehicle Emission Factors Measured in Traffic Tunnels. Applied Sciences, 10(7), 2458. https://doi.org/10.3390/app10072458

Ma, J., Mitchell, G., & Heppenstall, A. (2015). Exploring Transport Carbon Futures Using Population Microsimulation and Travel Diaries: Beijing to 2030. Transportation Research Part D Transport and Environment, 37, 108–122. https://doi.org/10.1016/j.trd.2015.04.020

Marsa, R. R. M., Linggasari, D., & Angkat, H. R. (2023). Studi Keselamatan Di Perlintasan Sebidang JPL No. 5a Km 2 + 285 Jalan Hadiah. JMTS Jurnal Mitra Teknik Sipil, 1025–1034. https://doi.org/10.24912/jmts.v6i3.24907

Mueller, N., Rojas‐Rueda, D., Basagaña, X., Cirach, M., Cole‐Hunter, T., Dadvand, P., Donaire-González, D., Foraster, M., Gascón, M., Martínez, D., Tonne, C., Triguero‐Mas, M., Valentín, A., & Nieuwenhuijsen, M. (2017). Urban and Transport Planning Related Exposures and Mortality: A Health Impact Assessment for Cities. Environmental Health Perspectives, 125(1), 89–96. https://doi.org/10.1289/ehp220

Nkosi, N., Burger, R., Pauw, C., Ayob, N., & Piketh, S. (2023). The Impact of Vehicle Parameters on Road PM10 Vehicle Resuspended Emissions: A Case in South African Low-Income Settlement. Clean Air Journal, 33(2). https://doi.org/10.17159/caj/2023/33/2.15497

Pryciński, P., Wawryszczuk, R., Korzeb, J., Pielecha, P., & Murawski, J. (2023). Selected Vehicle Emissivity Assessment Issues in Passenger Transport Services. Combustion Engines. https://doi.org/10.19206/ce-169806

Radhakrishnan, R., Ajimon, M. A., Bose, S., Surya, S., Pillai, V. G., & Sandeep, U. P. (2024). Unscrambling Traffic Congestion and Increasing Sustainability in Special Urban Intersection. E3s Web of Conferences, 529, 4011. https://doi.org/10.1051/e3sconf/202452904011

Sari, E. G., & Sofwan, M. (2021). Carbon Dioxide (CO2) Emissions Due to Motor Vehicle Movements in Pekanbaru City, Indonesia. Journal of Geoscience Engineering Environment and Technology, 6(4), 234–242. https://doi.org/10.25299/jgeet.2021.6.4.7692

Sitati, C., Oludhe, C., Oyake, L., & Mbandi, A. (2022). A Street-Level Assessment of Greenhouse Gas Emissions Associated With Traffic Congestion in the City of Nairobi, Kenya. Clean Air Journal, 32(1). https://doi.org/10.17159/caj/2022/32/1.12546

Solaymani, S. (2022). CO2 Emissions and the Transport Sector in Malaysia. Frontiers in Environmental Science, 9. https://doi.org/10.3389/fenvs.2021.774164

Taqi, M., Zainab, F., Anwar, S., & Zia, A. (2023). Nexus Between Carbon Emission Per Capita and Urbanization. Journal of Economics Management & Business Administration, 1(2), 15–26. https://doi.org/10.59075/jemba.v1i2.116

Utami, A., & Widyastuti, H. (2019). Model Panjang Antrian Kendaraan Pada Perlintasan Sebidang Tanpa Palang Pintu (Studi Kasus: Perlintasan Sebidang Jl. Gayung Kebonsari Surabaya). Jurnal Aplikasi Teknik Sipil, 17(1), 27. https://doi.org/10.12962/j2579-891x.v17i1.4693

Wang, W., Yang, S., Yin, K., Zhao, Z.-D., Ying, N., & Fan, J. (2022). Network Approach Reveals the Spatiotemporal Influence of Traffic on Air Pollution Under COVID-19. Chaos an Interdisciplinary Journal of Nonlinear Science, 32(4). https://doi.org/10.1063/5.0087844

Wang, Y., Lv, C., Nie, Q., & Liu, H. (2024). Analyzing the Impact of Road Accidents on Carbon Dioxide Emissions in Freeway Traffic: A Simulation and Statistical Modeling Approach. Sustainability, 16(5), 2168. https://doi.org/10.3390/su16052168

Yang, J., & Wang, P. (2024). Multi-Segment Variable Speed Predictive Control Strategy for Eliminating Traffic Bottlenecks in Emergency Cases on Super-Long-Span Bridges. Applied Sciences, 14(24), 11644. https://doi.org/10.3390/app142411644

Zhang, Y., Zhou, R., Peng, S., Mao, H., Yang, Z., André, M., & Zhang, X. (2022). Development of Vehicle Emission Model Based on Real-Road Test and Driving Conditions in Tianjin, China. Atmosphere, 13(4), 595. https://doi.org/10.3390/atmos13040595

Zhao, H., Geng, G., Zhang, Q., Davis, S. J., Li, X., Liu, Y., Peng, L., Li, M., Zheng, B., Huo, H., Zhang, L., Henze, D. K., Mi, Z., Liu, Z., Guan, D., & He, K. (2019). Inequality of Household Consumption and Air Pollution-Related Deaths in China. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-12254-x