2019, Vol.103, No.

The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

pISSN : 1229-8638
https://journal.kci.go.kr/krihs

This study is aimed at identifying the research trend of Mack Joong Choi on territorial and urban planning through text mining on his academic papers published in both domestic and international journals. The study employs text mining methodologies, specifically using a word frequency analysis and a bi-gram language modeling for the titles and topic modeling for abstract contents. Analysis results by the word frequency method demonstrate that his major research topic had been focused on housing-related topics based on empirical evidence. Analysis results by the bi-gram language modeling does not only indicate that his major research topic is housing-related study based on empirical evidence, but also suggest that he had focused on such other research topics as urban development, residential location, social mix, and rail station area development. Analysis results on the topic modeling would identify that his research trend would be categorized into housing market and urban development and planning, which they can be named as private and public sector of the territorial and urban planning field, respectively, if it would be divided into two topics. The topic modeling analysis also informs us that his research could be more specifically classified into 13 topics. Lastly, analysis results on yearly research trend demonstrate that he dealt with emerging issues at that time while researching with more diverse issues such as leisure at recent years.

This study focuses on the algorithm which can automatically detect the access restricted sections based on geographic characteristics of at-grade intersections in high definition maps. Some pre-works such as classification of intersection type, defining the geometrical boundary of intersection and measuring the threshold distance are necessary to detect access restricted section. The high definition map includes the lane, link, stop line and node information which are the base information to determine access-restricted sections. The geometrical boundary of intersection is defined as the cross, diverge and merge conflict area. The acceleration and deceleration lane is vertically separated from the mainline or channelized lane by the traffic island or painted island. The maximum length of the acceleration and deceleration lane is defined as 400m based on the merging and diverging influence area in highway capacity manual. The access-restricted section detection algorithm is designed based on the layer attribute data of a high definition map. The algorithm validation results show a 86.8% accuracy in the 61km long study site. Due to the high definition map error and complicated field conditions, there were some errors in the result. Nevertheless, the high definition map still the most suitable map to detect the access restricted section. The accuracy of this access restricted section detecting algorithm can be improved under the following conditions; Expand the coverage of high definition map, increase the accuracy of high definition map data and introduce a live high definition map.

This paper develops a new present-value framework in rental housing markets in Korea. To implement the model precisely, I use Seoul apartment data and devise a log price-rent ratio that is a linear combination of home prices, Jeonse, monthly deposits, and Jeonse-to-rent conversion rates. I show that the ratios strongly predict one-period-ahead conversion rates, not the long-term ones. This finding points out that the conversion rate is so transient that its shock could hardly cumulate over time, thereby little affecting the home prices in the long run. In contrast, I find that the ratios strongly forecast long-term deposit growth, not its short-term growth. The rationale behind this is that its shock is so persistent as to build up over time, which affects the home prices significantly in the end. The implication is that we should monitor an irrational swing of the deposit behavior to attenuate the excess volatility of the apartment lease market.