An Analysis of the Effect of Non-Parking Facilities in Parking-Only Buildings on the Traffic Inducement Rate

Abstract

The designation parking-only building (POB)was first introduced in the Parking Lot Act on 14 December 1991. According to the law, POBs can be used for purposes other than parking facilities, that is, non-parking facilities (NPFs), up to 70% of the total floor area. In addition, the POB is an infrastructure in accordance with the National Land Planning and Utilization Act. Excessive introduction of NPFs in a POB weakens the public nature of the building and creates additional demand for parking due to NPFs, thus changing the original meaning of a parking lot. However, on the other hand, NPFs in POBs have a positive aspect in that they contribute to the realization of a compressed city through mixed-use development and increased user convenience. This study investigated and analyzed the usage status of NPFs for POBs in 31 cities in Gyeonggi-do, Korea. In addition, the amount of traffic generated by NPFs was defined as the traffic inducement rate (TIR) and policy implications were presented by analyzing the influencing factors. The ratio of NPFs in POBs was 20% on average, but 3% in public parking lots, and 24% in private parking lots. Most of the NPFs used were for-profit facilities such as neighborhood living facilities and sales facilities. As a result of analyzing the factors affecting the TIR, it was analyzed that the larger the total floor area of a POB, the higher the private ownership, the smaller the number of parking spaces; and the larger the entrance road width, the greater the TIR. In order to prevent excessive change in the use of POBs, the ratio limit of NPFs will be gradually lowered in proportion to the total floor area and public parking lots will be expanded. In the planning stage, meticulous district-wide planning is required for the use and ratio of NPFs in POBs according to the access road type. This article will be meaningful if you want to supply a POB that satisfies suppliers, consumers, and users. In particular, it will enable government officials who decide and implement policies related to POBs to recognize that full-scale research is necessary.

Use of Sustainable Transport System Approach in Tourism Zone Development at Kupang City

“…The development of the center of the culinary tourism area is proven to trigger the growth of the type, number and scale as well as the density of associated activities so that the cumulative impact must be anticipated. Warnings about this side effect, among others, have been published in a number of previous studies [1], [7].…”

“…Therefore, it is required to develop the building licensing mechanism by adding the design parking index based on minimum parking lot needs as a mandatory criterion. In South Korea, the government regulates aspects of development permits for a number of activities without parking facilities, but this is only allowed in certain areas [7].…”

Factors influencing the profit and choice of agribusiness for agricultural cooperatives in Thailand

“…Descriptive analysis was used to summarize a large amount of data, such as frequencies, percentages, means and standard deviations. Multiple linear regression (Ahmed et al, 2022;Jeong et al, 2022;Sodri et al, 2022) was used to analyse the factors affecting the profit of ACs, and a multinomial logistic regression (Long & Freese, 2001) was used to analyse the factors affecting the choice of agribusiness by ACs. Equation ( 1) represents the multiple linear regression model used in this study (Bond, 2009;Suminah et al, 2022):…”

“…Descriptive analysis was used to summarize a large amount of data, such as frequencies, percentages, means and standard deviations. Multiple linear regression (Ahmed et al, 2022; Jeong et al, 2022; Sodri et al, 2022) was used to analyse the factors affecting the profit of ACs, and a multinomial logistic regression (Long & Freese, 2001) was used to analyse the factors affecting the choice of agribusiness by ACs. Equation () represents the multiple linear regression model used in this study (Bond, 2009; Suminah et al, 2022): where is the profit of the i th AC, α 0 is the intercept, β and 𝛾 are the coefficients of the independent variables, X 1 is the number of members, X 2 is the number of staff members, X 3 is the operating capital, X 4 represents an AC having an office, X 5 represents the presence of a compilation business, X 6 represents the presence of a trading business and X 7 represents an AC that provides an average payback.…”