Abstract
Traffic Impact Analysis (TIAs) is an effective way to identify traffic generated by new developments in transportation systems so that it can reduce the impact of heavy traffic on the construction of new land. The traffic impact analysis model that has been developed in developed countries is very helpful in dealing with the problem of transportation disruption caused by development. Analysis of the impact of traffic in the development of new land uses is very influential in making a policy to overcome traffic congestion in developing countries such as Indonesia, Malaysia, The Philippines, and Thailand. There were two categories of nations with substantial differences in motorization rates: Sri Lanka, India, Nepal, Philippines, Pakistan, Indonesia, and Thailand have faster motorization rates than the rest of the world. The priority in analyzing the impact of traffic on the development of new land uses is used as a guide for the government in overcoming traffic congestion caused by development.The traffic impact analysis (TIAs) is designed to address traffic congestion and to improve the level of service (LOS) in new land-use developments. The problem faced by developing countries in overcoming traffic congestion at this time is that they do not have standard guidelines such as land-use models and planning implications in traffic impact analysis. Currently, a country like Indonesia does not have standard guidelines that can be applied in traffic impact analysis. So, it is necessary to provide a better traffic impact analysis that can be applied to reduce traffic congestion which is very bad for the surrounding network transportation, and to improve road services caused by the use of new land.
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Acknowledgement
The authors would like to express gratitude to the National University of Malaysia (UKM) for providing the opportunity and funding under the Student Research Project Code TAP-K020558.
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Dharma, A.B., Kadir, R.A. (2021). The Preliminary Study of Traffic Impact Analysis for Developing Countries in Southeast Asia. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_30
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DOI: https://doi.org/10.1007/978-3-030-90235-3_30
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