Price Decision of Digital Parking with Capacity Constraint Based on Reservation System Considering by Changes Modes of Transportation
- 10.2991/aebmr.k.210727.006How to use a DOI?
- cashless payment, digital parking, game theory, ICT
The advancement in ICT has been providing some advantages for community, including cashless payment system. This is used by the Sidoarjo government to replace subscription parking to the digital one due to criticisms from society. Most people agree that the old parking mode is poor quality and expensive. However, the annual revenue of parking was only 21 Billion Rupiahs in which is so far below from the targeted 102 Billion Rupiahs. Therefore, for transparency, the parking should be automated for increasing the regional income. However, the implementation of digital parking should be organized well to maximize the income through parking rates. The shifting transportation mode to the online has to be limited in the cars and motorcycles usage to understand the public’s preference. Therefore, parking prices will be determined by two ways including online channel and offline channel. Both of them apply game theory, a mathematical approach to formulate a strategy involving decision-makers. This scheme is Stackelberg Leadership and Vertical Nash. Then, the results obtained will be utilized for determining the best scenario providing much profit. The results show that the Vertical Nash Scenario which provides the most of Rp 1.243.140 with more online channel demand than offline channels and online channel prices are cheaper than offline channels.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - E Widodo AU - D Handayani AU - Suparno PY - 2021 DA - 2021/07/28 TI - Price Decision of Digital Parking with Capacity Constraint Based on Reservation System Considering by Changes Modes of Transportation BT - Proceedings of the Business Innovation and Engineering Conference 2020 (BIEC 2020) PB - Atlantis Press SP - 30 EP - 35 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210727.006 DO - 10.2991/aebmr.k.210727.006 ID - Widodo2021 ER -