2015National Conference on Artificial IntelligenceRequires access

Pricing Procedure in Accordance with Characteristic of Parking Utilization - Analysis Example of Massive Parking Accounting Data

Yuichi Enoki, Ryo Kanamori, Takayuki Itō

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Abstract

In most urban area, traffic issue related to parking (e.g. economic(time) and environmental loss in finding a parking space) has been significant, and parking management strategies to set optimal price are often necessary for the parking agencies. In order to revise parking fee appropriately without a reduction of parking demand, a pricing procedure in accordance with characteristic of parking utilization is expected. On the other hand, a large amount of parking data is accumulated automatically with introduction of online parking systems. In this study, we analyze massive parking accounting data, whose data size is22.5 million accounting data in the past year about 1,050 parking lots,and discuss the characteristics of parking utilization. Moreover parking duration model is developed from the accounting data for each cluster to estimate the parking demand (i.e., parking time) after changing price. As an example of appropriate price procedure, we evaluate the setting of an upper limitation of parking charge with parking demand patterns calculated from the accounting data and the parking duration model.

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In most urban area, traffic issue related to parking (e.g. economic(time) and environmental loss in finding a parking space) has been significant, and parking management strategies to set optimal price are often necessary for the parking agencies. In order to revise parking fee appropriately without a reduction of parking demand, a pricing procedure in accordance with characteristic of parking utilization is expected. On the other hand, a large amount of parking data is accumulated automatically with introduction of online parking systems. In this study, we analyze massive parking accounting data, whose data size is22.5 million accounting data in the past year about 1,050 parking lots,and discuss the characteristics of parking utilization. Moreover parking duration model is developed from the accounting data for each cluster to estimate the parking demand (i.e., parking time) after changing price. As an example of appropriate price procedure, we evaluate the setting of an upper limitation of parking charge with parking demand patterns calculated from the accounting data and the parking duration model.

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Available abstract

In most urban area, traffic issue related to parking (e.g. economic(time) and environmental loss in finding a parking space) has been significant, and parking management strategies to set optimal price are often necessary for the parking agencies. In order to revise parking fee appropriately without a reduction of parking demand, a pricing procedure in accordance with characteristic of parking utilization is expected. On the other hand, a large amount of parking data is accumulated automatically with introduction of online parking systems. In this study, we analyze massive parking accounting data, whose data size is22.5 million accounting data in the past year about 1,050 parking lots,and discuss the characteristics of parking utilization. Moreover parking duration model is developed from the accounting data for each cluster to estimate the parking demand (i.e., parking time) after changing price. As an example of appropriate price procedure, we evaluate the setting of an upper limitation of parking charge with parking demand patterns calculated from the accounting data and the parking duration model.

Key concepts: Parking guidance and information, Transport engineering, Parking lot, Parking space, Order (exchange), Computer science, Duration (music), Business

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