Google Traffic sebagai Masukan Kebijakan Transportasi Perkotaan (Studi Kasus: Kota Bandar Lampung)

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ID: 265696
2020
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Abstract
Congestion in urban areas is vulnerable because of the impact of the growth of activities and an increasingly specialized and complex economy. For this reason, it is necessary to formulate a good urban transportation policy to accommodate increased urban transportation needs. Google Traffic is a feature found on Google Maps to see the level of congestion in an area. Google Traffic can detect an area with red, yellow or green indications through the principle of Real Time Data using data from the Global Positioning System (GPS). This study wanted to see how the use of the Google Traffic Feature as input to urban transportation policies by looking at existing urban transportation policies, analyzing the movement system model on Google Traffic, and analyzing the development of Google Traffic model policies, which would be useful for the development of Urban Transportation Policies, especially Bandar Lampung City as a case study.
Reference Key
ibad2020tatalokagoogle Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Zainal Ibad;Rahayu Sulistyorini;Chania Rahmah;
Journal tataloka
Year 2020
DOI
doi:10.14710/tataloka.22.3.409-417
URL
https://ejournal2.undip.ac.id/index.php/tataloka/article/view/4927
Keywords
congestion google traffic; movement system models; urban transportation; congestion; transportation policygoogle traffic movement system models urban transportation transportation policy

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