Browse > Article
http://dx.doi.org/10.21219/jitam.2019.26.1.095

Structural Characterization of Public Transportation Networks based on QAP Correlation  

Jeong, Seok-Bong (Dept. of Railway, Kyungil University)
Yoon, Hyoup-Sang (Dept. of IT Business, Daegu Catholic University)
Publication Information
Journal of Information Technology Applications and Management / v.26, no.1, 2019 , pp. 95-102 More about this Journal
Abstract
Public transportation systems play key roles in supporting dynamic activities and interaction between urban places. Especially, high efficient public transportation systems are required in order to support large traffic demands in urban areas. In this paper, we define a new metric, structural activation level (SAL), to replace the conventional transportation share ratio (TSR) measuring efficiency of public transportation systems. First of all, we access the Korea Transport Database (KTDB) and download origin-destination data by transport types to construct traffic networks with respect to transport types for each city. Then, we calculate the QAP (Quadratic Assignment Procedure) correlation between each traffic network and the total traffic network for each city to investigate SAL by comparing cities one another. The results of our investigation reveal inconsistency between TSR and SAL. In Daegu, TSR of public transportation systems is relatively low while SAL is high. In Deajeon, however, SAL is low while TSR is high. Therefore, we suggest to take into consideration SAL as well as TSR in order to investigate the degree of activation of public transportation.
Keywords
Structural Activation Level; QAP Correlation; Public Transportation; Network Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Guo, D. and Zhu, X., "Origin-Destination Flow Data Smoothing and Mapping", IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No. 12, 2014, pp. 2043-2051.   DOI
2 Hong, S. P., Yi, C. H., and Lee, S. I., "Analyzing the Land-use Pattern of the Station Area of the Seoul Metropolitan Railway by Based on the Network Centrality", Journal of Korea Planning Association, Vol. 50, No. 4, 2015, pp. 209-226.   DOI
3 Jeong, S. B., Shin, Y. H., Koo, S. R., and Yoon, H. S., "A Market Segmentation Scheme Based on Customer Information and QAP Correlation between Product Networks", Journal of Information Technology Applications and Management, Vol. 24, No. 4, 2015, pp. 97-106.
4 Kim, A. Y. and Jun, B. W., "Environmental Equity Analysis of the Accessibility to Public Transportation Services in Daegu City", Journal of Korean Geographical Society, Vol. 15, No. 1, 2012, pp. 76-86.
5 Kim, M. K. and Jung, H. Y., "A Study on the Development of Integrated Management System for Improving Efficiency of Public Transit Operation-A Case of Busan Metro City", Journal of Korea Planning Association, Vol. 41, No. 7, 2006, pp. 163-175.
6 Korea Transport Database, "2017 National Transportation Demand Analysis Basic Data", 2017, https://www.ktdb.go.kr.
7 Kwak, K. Y., Social Network Analysis, 1st edition, Chunglim, 2014.
8 Lee, S. S., Network Analysis Methodology, Nonhyoung, 2013.
9 Lu, T. C. and Wu, K. Y., "A transaction pattern analysis system based on neural network", Expert Systems with Applications, Vol. 36, 2009, pp. 6091-6099.   DOI
10 Ministry of Land, Infrastructure and Transport, "Third Public Transportation Basic Plan", 2017.
11 Ministry of Land, Infrastructure and Transport, "Public Transportation Investigation", 2016.
12 Park, S. H., Lee, W. D., and Joh, C. H., "A Study for Seoul Traffic Network Based on the Metropolitan Household Travel Survey", The Geographical Journal of Korea, Vol. 46, No. 2, 2012, pp. 189-200.
13 Saberi, M., Mahmassani, H. S., Brockmann, D., and Hosseini, D., "A complex network perspective for characterizing urban travel demand patterns : graph theoretical analysis of large-scale origin-destination demand networks", Transportation, Vol. 44, No. 6, 2017, pp. 1383-1402.   DOI
14 Song, H. S., Joo, S. J., and Lee, J. H., "The Effect of Social Information on Recommendation Performance According to the Product Involvement Level", Journal of Information Technology Applications and Management, Vol. 21, No. 4, 2014, pp. 361-379.
15 Woon, J. M., Urban traffic theory, 5th edition, Parkyoung, 2015.