[논문]Investigating the Characteristics of Carsharing Usage Patterns for Public Rental Housing Complexes : Case Study in South Korea

Kim, Do-Gyeong; Park, Jaeyoung; Woo, Dong-Joon; Lee, Chungwon

doi:10.3141/2650-11

[해외논문] Investigating the Characteristics of Carsharing Usage Patterns for Public Rental Housing Complexes : Case Study in South Korea

Transportation research record : journal of the transportation research board, no.2650=2017 no.2650 = no.2650, 2017년, pp.92 - 100

Kim, Do-Gyeong (Department of Transportation Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-Gu, Seoul 02504, South Korea) , Park, Jaeyoung (Department of Transportation Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-Gu, Seoul 02504, South Korea) , Woo, Dong-Joon (Department of Civil and Environmental Engineering, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, South Korea) , Lee, Chungwon (Department of Civil and Environmental Engineering, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, South Korea)

Abstract ▼ AI-Helper

The primary objective of this study was to investigate which attributes of HappyCar, a closed carsharing service implemented in rental housing complexes in South Korea, should be improved to become an alternative transportation mode for low-income households. The study also aimed to identify what kinds of characteristics of rental housing complexes influenced the vehicle usage rate. For the analysis, two types of data were collected: survey data from carsharing members and operation record log files provided by a service operator. For the methodology, the study employed an importance-performance analysis (IPA) technique to analyze which attributes of HappyCar require improvement. A beta regression model was estimated to identify factors affecting the vehicle usage rate. The IPA results showed that three attributes-the appropriateness of rental rates, thorough vehicle maintenance, and increase in the number of vehicles operated-should be improved with top priority to make the HappyCar service more convenient and comfortable. Five variables were found to be associated positively with the vehicle usage rate: rental housing type, number of households per complex, ratios of one- and two-person households, and ratio of five or more person households. The study enabled a better understanding of the characteristics of carsharing, including use by low-income residents in rental housing, and provided recommendations for HappyCar service providers and traffic policy decision makers.

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DOI : 10.3141/2650-11
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