Yongju Yi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yongju Yi has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Jeong Ah Jang
TOD Based Transportation Research Center, Ajou University, Suwon 16499, Republic of Korea
2 shared publications - Keechoo Choi
Ajou University
2 shared publications Chae Rin Kim
1 shared publicationHyungjun Kim
1 shared publication- Hyungjun Kim
Mobility Business Unit, Autocrypt Co, Ltd
1 shared publication - Jung Yoon Choi
TOD-Based Sustainable Urban/Transportation Research Center, Yeongtong-gu, Suwon 16499, Korea
1 shared publication
Latest Publications
- Open Access
- 31 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (21) , 14191
Proactive and Sustainable Transport Investment Strategies to Balance the Variance of Land Use and House Prices: A Korean Case
The transport infrastructure sustaining the ascension of land values while synergizing with the industries is a condition optimized for economic sustainability. In general, although transport investment aims to create a more reliable, less congested, better-connected transport network, the secondary aim is to facilitate balanced and sustainable development by enhancing accessibility to infrastructures. Although the current investment principle in Korea more or less reflects the primary purpose, the second aim is not fully reflected and might be too strict about measuring the balanced and sustainable influence on the regional economy. Considering that the house price is an output of regional production, this research tried to establish more proactive quantitative models explaining how ‘transport accessibility to infrastructure’ raises the apartment price in South Korea while interacting with the industries. This study achieved four main results according to the model. First, most urban infrastructures raise apartment prices per square meter about ten times higher than most industries, given a percentage change. Second, the synergy between industrial sales and infrastructural accessibility was negative in most cases, showing a limit of infrastructural investment alone to facilitate sustainable development. Third, an impoverished area tends to conclude positive synergies between industries and infrastructures, justifying more infrastructural investment in those poor areas. Finally, a public service behaves as infrastructure, which re-examines public services’ functionality of the prime water. Conclusively, this research proved that accessibility to core infrastructures is essential in conjunction with land use status resulting from industrial geography to rebalance Korean apartment prices for sustainable investment in transportation sectors.
- 31 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (21) , 14191
Open AccessProactive and Sustainable Transport Investment Strategies to Balance the Variance of Land Use and House Prices: A Korean Case
The transport infrastructure sustaining the ascension of land values while synergizing with the industries is a condition optimized for economic sustainability. In general, although transport investment aims to create a more reliable, less congested, better-connected transport network, the secondary aim is to facilitate balanced and sustainable development by enhancing accessibility to infrastructures. Although the current investment principle in Korea more or less reflects the primary purpose, the second aim is not fully reflected and might be too strict about measuring the balanced and sustainable influence on the regional economy. Considering that the house price is an output of regional production, this research tried to establish more proactive quantitative models explaining how ‘transport accessibility to infrastructure’ raises the apartment price in South Korea while interacting with the industries. This study achieved four main results according to the model. First, most urban infrastructures raise apartment prices per square meter about ten times higher than most industries, given a percentage change. Second, the synergy between industrial sales and infrastructural accessibility was negative in most cases, showing a limit of infrastructural investment alone to facilitate sustainable development. Third, an impoverished area tends to conclude positive synergies between industries and infrastructures, justifying more infrastructural investment in those poor areas. Finally, a public service behaves as infrastructure, which re-examines public services’ functionality of the prime water. Conclusively, this research proved that accessibility to core infrastructures is essential in conjunction with land use status resulting from industrial geography to rebalance Korean apartment prices for sustainable investment in transportation sectors.
- Open Access
- 15 April 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (8) , 4744
Analysis of Influencing Factors in Purchasing Electric Vehicles Using a Structural Equation Model: Focused on Suwon City
The global automobile market is promoting the introduction of eco-friendly vehicles such as electric vehicles and hydrogen vehicles. However, disadvantages such as expensive prices and limited mileage compared to internal combustion engine vehicles have become obstacles to the expansion of eco-friendly vehicles. Therefore, in this study, a survey was conducted on the purchase of electric vehicles for citizens of Suwon. Using the survey data, a structural equation model was constructed to analyze the factors affecting the purchase of electric vehicles, which are eco-friendly vehicles. The results indicate that a lack of information and government policy on EV, the level of EV recognition and subsidy policy do not have an effect on EV purchase. However, charging infrastructure, battery performance and safety, operating conditions including ramps or use of heaters and air conditioners, subsidy effects and charging services demonstrate positive effects on EV purchase. Using direct and indirect effect analysis, the study shows that higher government subsidy and visiting charging services are the two most influential factors on EV purchase, followed by EV driving environment, charging infrastructure, battery performance and safety, and a lack of information and electric vehicle supply policy.
- 15 April 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (8) , 4744
Open AccessAnalysis of Influencing Factors in Purchasing Electric Vehicles Using a Structural Equation Model: Focused on Suwon City
The global automobile market is promoting the introduction of eco-friendly vehicles such as electric vehicles and hydrogen vehicles. However, disadvantages such as expensive prices and limited mileage compared to internal combustion engine vehicles have become obstacles to the expansion of eco-friendly vehicles. Therefore, in this study, a survey was conducted on the purchase of electric vehicles for citizens of Suwon. Using the survey data, a structural equation model was constructed to analyze the factors affecting the purchase of electric vehicles, which are eco-friendly vehicles. The results indicate that a lack of information and government policy on EV, the level of EV recognition and subsidy policy do not have an effect on EV purchase. However, charging infrastructure, battery performance and safety, operating conditions including ramps or use of heaters and air conditioners, subsidy effects and charging services demonstrate positive effects on EV purchase. Using direct and indirect effect analysis, the study shows that higher government subsidy and visiting charging services are the two most influential factors on EV purchase, followed by EV driving environment, charging infrastructure, battery performance and safety, and a lack of information and electric vehicle supply policy.
- Open Access
- 31 August 2019
- Published by Korean Society of Transportation in Journal of Korean Society of Transportation
- Vol. 37 (4) , 277-289
Estimating Diverted and Induced Travel Demand of the Wheelchair Users with Introduction of Wheelchair-Enabled Express Bus
- 31 August 2019
- Published by Korean Society of Transportation in Journal of Korean Society of Transportation
- Vol. 37 (4) , 277-289
Open AccessEstimating Diverted and Induced Travel Demand of the Wheelchair Users with Introduction of Wheelchair-Enabled Express Bus
- Open Access
- 31 December 2018
- Published by Korean Society of Transportation in Journal of Korean Society of Transportation
- Vol. 36 (6) , 452-466
Estimating Long-distance Travel Demand of the Wheelchair Users Using O/D Expansion Method
- 31 December 2018
- Published by Korean Society of Transportation in Journal of Korean Society of Transportation
- Vol. 36 (6) , 452-466
Open AccessEstimating Long-distance Travel Demand of the Wheelchair Users Using O/D Expansion Method
- Open Access
- 1 December 2016
- Published by University of South Florida Libraries in Journal of Public Transportation
- Vol. 19 (4) , 178-198
Optimal Limited-stop Bus Routes Selection Using a Genetic Algorithm and Smart Card Data
In recent years, express bus service has come into the spotlight by overcoming slow bus operating speeds while maintaining its accessibility when it operates with local bus services. This study developed an optimal limited-stop bus routes selection (LSBRS) guideline as a scenario-based analysis and compared it with case study results. Smart card data and a genetic algorithm (GA) were used to develop the model with different scenarios. Then, total travel time savings as a result of implementing limited-stop bus service generated by the GA model were computed. The effectiveness of each factor was verified by multiple regression analysis, and the LSBRS methodology was determined. This methodology was applied to Suwon, Korea, as a case study. As a result, travel time savings were estimated to be 9.0–19.0%. The ranking of the total travel time savings proposed by the LSBRS methodology presented a similar tendency with that of the case-study analysis.
- 1 December 2016
- Published by University of South Florida Libraries in Journal of Public Transportation
- Vol. 19 (4) , 178-198
Open AccessOptimal Limited-stop Bus Routes Selection Using a Genetic Algorithm and Smart Card Data
In recent years, express bus service has come into the spotlight by overcoming slow bus operating speeds while maintaining its accessibility when it operates with local bus services. This study developed an optimal limited-stop bus routes selection (LSBRS) guideline as a scenario-based analysis and compared it with case study results. Smart card data and a genetic algorithm (GA) were used to develop the model with different scenarios. Then, total travel time savings as a result of implementing limited-stop bus service generated by the GA model were computed. The effectiveness of each factor was verified by multiple regression analysis, and the LSBRS methodology was determined. This methodology was applied to Suwon, Korea, as a case study. As a result, travel time savings were estimated to be 9.0–19.0%. The ranking of the total travel time savings proposed by the LSBRS methodology presented a similar tendency with that of the case-study analysis.