2020 : ON-STREET PARKING AREAS ZONE DETERMINATION IN CASE OF SHIFTING PARKING SYSTEM TECHNOLOGY WITH MIXED INTEGER LINEAR PROGRAMMING APPROACH (CASE STUDY: SIDOARJO)
Dr. Eng Erwin Widodo ST., M.Eng.
Diesta Iva Maftuhah S.T., M.T.
This research attemps to propose a theoretical contribution in term of determining the optimum zoning of on-street parking. The specific property of this research is to take in to account the local government policy of shifting from conventional parking to online parking system. The considered scenarios of zoning in this study are full digital parking zone, full conventional parking zone and mixed parking zone. The decision is to proposed the optimum zoning in one particular area under discussion so that the total parking cost could be minimized. Such total parking cost is counted from both service provide and customer stand points.
We construct a conceptual model to represent the problem situation and transform it into a mathematical model set based on mixed integer linear programming. The decision will be which parking area should utilized which scenario. The items in proposed objective function are increasing parking service level, reducing the risk of illegal levy, decreasing traffic congestion, and also a manifestation of local government innovation. Aforementioned scenarios are evaluated, the optimum results would be derived for each situation. To validate the results, simulations will be used based on the real case of online parking implementation. Some simulation procedures will be utilized to strengthen the validation process.
The result of this research will be submitted to Operations Research Perspective the international journal (Q1: 1.374SJR) in the last quarter of 2020.
Keywords: online parking, parking zoning optimization, mixed integer linear programming