CONCEPTUAL MODEL FOR THE IMPLEMENTATION OF ELECTRIC GROUND SUPPORT EQUIPMENT IN GROUND HANDLING ACTIVITY IN INDONESIA

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Published May 19, 2021
Mustika Sari Wan Mazlina Wan Mohamed Siti Ayu Jalil

Abstract

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This research aims to develop a model for the implementation of electric ground support equipment (E-GSE) in Indonesia. It employed the qualitative and quantitative method. Data were collected through interviews with airport stakeholders including ground handling, airline and airport experts. The data analysis used the Analytical Network Process (ANP) with Super Decisions software tools. The ANP is a mathematical theory that can be used to analyze the influence of approaches and assumptions used to solve related problems. The key stakeholders from the airlines, ground handling, and airport authority agreed that the critical criteria to implement electric ground support equipment (E-GSE) are emissions standards, pollution sources, limit value, employee exposure, and stationary measurements. The alternative solutions are regulation, company finance, and infrastructure. Those criteria and alternative solutions are in line with the Indonesian government’s regulation, supported by provision of the governor, concerning vehicle tax incentives for electric battery vehicles to support ground handling companies investment in electric ground support equipment (E-GSE) to reduce emissions in airports.

 

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Keywords

Regulation, electric vehicle, airport, ground operation

References
Aerospace. (2012). Reducing the environmental impacts of ground operations and departing aircraft: An industry code of practice. Practice working group.

Airport Cooperative Research Program (ACRP) (2012). Airport Ground Support Equipment (GSE): Emission reduction strategies,inventory, and tutorial. Washington, DC: The National Academies Press. https://doi.org/10.17226/22681.

Ascarya. (2011). The persistence of low profit and loss sharing financing in Islamic banking: The case of Indonesia. The 4th Bank Indonesia’s Islamic Banking Reserch Forum. Doi: https://doi.org/10.13033/isahp.y2009.087

Feng & Wang. (2000). Performance evaluation for airlines including the consideration of financial ratios. Journal of Air Transport Management, 6(3), 133–142. Doi: https://doi.org/10.1016/s0969-6997(00)00003-x

Graham, A. (2009). Managing the airports, an international perspective (Third Ed). Butterworth-Heinemann.

Grampella, M., Martini,G., Scotti, D.,Tassan, F., Zambon, G. (2017). Determinants of airports’ environmental effects. Transportation Research, 50, 327–344. Doi: https://doi.org/10.1016/j.trd.2016.11.007

Haura, A., Baga, L.,Tanjung, H. (2016). Analysis of cash waqf management on Sharia financial service cooperation. Analytical Network Process Approach, 3(1), 89–105.

ICAO. (2010). ICAO Environment Report.

Kristensen, K.,Brogaard, L.,Jacobsen, J., Ellerman, T. (2012). Air pollution in airports. The Danish Eco Counci, 1(1).

Kusnoputranto & Kristanto. (2014). Capacity evaluation of environmental noise for airport sustainability through Eco-airport. Research Journal of Science & IT Management, 03(03), 20–27.

Morrow, K., Hochard, D., Franchort, J. (2007). Cost benefit analysis modeling tool for electric vs . ICE Airport Ground Support Equipment — Development and results. Doi: https://doi.org/10.2172/911917

Nadia, M., & Mantecchini, L. (2014). A transport carbon footprint methodology to assess airport carbon emissions. Journal of Air Transport Management, 37, 76–86. Doi: https://doi.org/10.1016/j.jairtraman.2014.03.001

Nugroho, I. A., Riastuti, U. H., & Iridiastadi, H. (2012). Performance improvement suggestions for ground handling using lean solutions approach. Procedia - Social and Behavioral Sciences, 65(ICIBSoS), 462-467. Doi: https://doi.org/10.1016/j.sbspro.2012.11.149

Rusdiyana & Devi. (2013). Challenges in developing Baitul Maal Wat Tamwil (BMT) in Indonesia using Analytic Network Process (ANP). Business & Management, 4(2), 51–62. Doi: https://doi.org/10.29244/jam.1.2.107-118

Saaty, R. (2016). Decision making in complex environments. Pittsburgh, PA, USA: Katz Graduate School Of Business.

Sameh & Scavuzzi. (2016). Environmental sustainability measures for airports. Centre of Research in Air and Space Law, 7, 1–12.

Scheelhaase, J. D. (2018). How to regulate aviation’s full climate impact as intended by the EU council from 2020 onwards. Journal of Air Transport Management, 75, 68–74. Doi: https://doi.org/10.1016/j.jairtraman.2018.11.007

Shaukat, N., Khan, B., Ali, S. M., Mehmood, C. A., Khan, J., Farid, U.,Ullah, Z., Anwar, M. (2018). A survey on electric vehicle transportation within smart grid system. Renewable and Sustainable Energy Reviews, 81, 1329–1349. Doi: https://doi.org/10.1016/j.rser.2017.05.092

Sucipto. (2017). Indonesia aviation outlook 2017. Signature, 219.

Wei, W., & Gosling, G. D. (2013). Strategies for collaborative funding of intermodal airport ground access projects. Journal of Air Transport Management, 32, 78–86. Doi: https://doi.org/10.1016/j.jairtraman.2013.07.006

Yuan, K., Song, Y., Mu, Y., Andri, I., Pina, A., Ferrão, P., Fournier, J., Lacarrière, B., & Corre, O. Le. (2017). A load forecast method for fast charging stations of electric a load forecast method for fast on charging stations of electric vehicles on the freeway considering the information interaction. 9th International Conference on Applied Energy, ICAE2017. Doi: https://doi.org/10.1016/j.egypro.2017.12.584



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