Technology Development Strategy of Piggyback Transportation System Using Topic Modeling Based on LDA Algorithm

Sung-Chan Jun; Han seongho; KIM SANG BAEK

doi:https://doi.org/10.9708/jksci.2020.25.12.261

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2020, 25(12), pp.261-270
DOI :https://doi.org/10.9708/jksci.2020.25.12.261
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Sung-Chan Jun ¹ , Han seongho ² , KIM SANG BAEK ³

¹ 고려대학교
² 한국철도기술연구원
³ 연세대학교

ABSTRACT

In this study, we identify promising technologies for Piggyback transportation system by analyzing the relevant patent information. In order for this, we first develop the patent database by extracting relevant technology keywords from the pioneering research papers for the Piggyback flactcar system. We then employed textmining to identify the frequently referred words from the patent database, and using these words, we applied the LDA (Latent Dirichlet Allocation) algorithm in order to identify “topics” that are corresponding to “key” technologies for the Piggyback system. Finally, we employ the ARIMA model to forecast the trends of these “key” technologies for technology forecasting, and identify the promising technologies for the Piggyback system. with keyword search method the patent analysis. The results show that data-driven integrated management system, operation planning system and special cargo (especially fluid and gas) handling/storage technologies are identified to be the “key” promising technolgies for the future of the Piggyback system, and data reception/analysis techniques must be developed in order to improve the system performance. The proposed procedure and analysis method provides useful insights to develop the R&D strategy and the technology roadmap for the Piggyback system.
KEYWORDS

Multi-modal , Piggyback flatcar system , Patent analysis , Network analysis , Time series analysis , Clustering
REFERENCES (29)

[journal] Rommert Dekker / 2012 / Operations Research for green logistics – An overview of aspects, issues, contributions and challenges / European Journal of Operational Research / Elsevier BV 219 (3) : 671~679 / 10.1016/j.ejor.2011.11.010

[journal] Jonn Axsen / 2020 / Crafting strong, integrated policy mixes for deep CO2 mitigation in road transport / Nature Climate Change / Springer Science and Business Media LLC 10 (9) : 809~818 / 10.1038/s41558-020-0877-y

[journal] Jigu Seo / 2016 / Estimation of Total Transport CO2 Emissions Generated by Medium- and Heavy-Duty Vehicles (MHDVs) in a Sector of Korea / Energies / MDPI AG 9 (8) : 638~ / 10.3390/en9080638

[journal] Martin Hrušovský / 2018 / Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty / Flexible Services and Manufacturing Journal / Springer Science and Business Media LLC 30 (3) : 486~516 / 10.1007/s10696-016-9267-1

[journal] William Hammond / 2020 / How to slash greenhouse gas emissions in the freight sector: Policy insights from a technology-adoption model of Canada / Energy Policy / Elsevier BV 137 : 111093~ / 10.1016/j.enpol.2019.111093

[journal] ManWo Ng / 2020 / Rail intermodal management at marine container terminals: Loading double stack trains / Transportation Research Part C: Emerging Technologies / Elsevier BV 112 : 252~259 / 10.1016/j.trc.2020.01.025

[journal] Teodor Gabriel Crainic / 2018 / Simulation of intermodal freight transportation systems: a taxonomy / European Journal of Operational Research / Elsevier BV 270 (2) : 401~418 / 10.1016/j.ejor.2017.11.061

[journal] Arne Heinold / 2018 / Emission rates of intermodal rail/road and road-only transportation in Europe: A comprehensive simulation study / Transportation Research Part D: Transport and Environment / Elsevier BV 65 : 421~437 / 10.1016/j.trd.2018.09.003

[journal] Julian Torres de Miranda Pinto / 2018 / Road-rail intermodal freight transport as a strategy for climate change mitigation / Environmental Development / Elsevier BV 25 : 100~110 / 10.1016/j.envdev.2017.07.005

[journal] Haoxun Chen / 2016 / Combinatorial clock-proxy exchange for carrier collaboration in less than truck load transportation / Transportation Research Part E: Logistics and Transportation Review / Elsevier BV 91 : 152~172 / 10.1016/j.tre.2016.04.008

[journal] Xin Wang / 2014 / Collaborative transportation planning of less-than-truckload freight / OR Spectrum / Springer Science and Business Media LLC 36 (2) : 357~380 / 10.1007/s00291-013-0331-x

[journal] Bo Dai / 2014 / Price-setting based combinatorial auction approach for carrier collaboration with pickup and delivery requests / Operational Research / Springer Science and Business Media LLC 14 (3) : 361~386 / 10.1007/s12351-014-0141-1

[confproc] Rakshit, SM / 2012 / Challenges in Current Wireless Sensor Technology for Railcar Status Monitoring for North America’s Freight Railroad Industry / American Society of Mechanical Engineers : 397~405

[confproc] Balog, Michal / 2016 / Informatization of rail freight wagon by implementation of the RFID technology / Smart City 360 / Springer : 592~597

[journal] Federico Caviggioli / 2016 / Technology fusion: Identification and analysis of the drivers of technology convergence using patent data / Technovation / Elsevier BV 55-56 : 22~32 / 10.1016/j.technovation.2016.04.003

[journal] Yongtae Park / 2005 / The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis / Technology in Society / Elsevier BV 27 (4) : 471~485 / 10.1016/j.techsoc.2005.08.003

[journal] Loet Leydesdorff / 2014 / Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC) / Scientometrics / Springer Science and Business Media LLC 98 (3) : 1583~1599 / 10.1007/s11192-012-0923-2

[confproc] Jun, Sunghae / 2011 / IPC code analysis of patent documents using association rules and maps–patent analysis of database technology / Database Theory and Application, Bio-Science and Bio-Technology / Springer 258 : 21~30

[journal] Haiying Ren / 2020 / Technology opportunity discovery based on constructing, evaluating, and searching knowledge networks / Technovation / Elsevier BV 7 : 102196~ / 10.1016/j.technovation.2020.102196

[journal] Chulhyun Kim / 2011 / Identifying core technologies based on technological cross-impacts: An association rule mining (ARM) and analytic network process (ANP) approach / Expert Systems with Applications / Elsevier BV 38 (10) : 12559~12564 / 10.1016/j.eswa.2011.04.042

[journal] Janghyeok Yoon / 2015 / Technology opportunity discovery (TOD) from existing technologies and products: A function-based TOD framework / Technological Forecasting and Social Change / Elsevier BV 100 : 153~167 / 10.1016/j.techfore.2015.04.012

[journal] 음수민 / 2019 / Analysis of Research Trends of Wireless Power Transfer System for Locomotives Using Topic Modeling Based on LDA Algorithm / 대한산업공학회지 / 대한산업공학회 45 (4) : 284~301 / https://doi.org/10.7232/JKIIE.2019.45.4.284

[journal] Bomi Song / 2019 / Identifying convergence fields and technologies for industrial safety: LDA-based network analysis / Technological Forecasting and Social Change / Elsevier BV 138 : 115~126 / 10.1016/j.techfore.2018.08.013

[journal] Jun-Seok Yeo / 2020 / Pathway toward market entry of perovskite solar cells: A detailed study on the research trends and collaboration networks through bibliometrics / Energy Reports / Elsevier BV 6 : 2075~2085 / 10.1016/j.egyr.2020.07.029

[journal] Xiaoxiao Fu / 2020 / Are all tourism markets equal? Linkages between market-based tourism demand, quality of life, and economic development in Hong Kong / Tourism Management / Elsevier BV 77 : 104015~ / 10.1016/j.tourman.2019.104015

[journal] Reza Yousefi Nooraie / 2020 / Social Network Analysis: An Example of Fusion Between Quantitative and Qualitative Methods / Journal of Mixed Methods Research / SAGE Publications 14 (1) : 110~124 / 10.1177/1558689818804060

[journal] Pranomkorn Ampornphan / 2020 / Exploring Technology Influencers from Patent Data Using Association Rule Mining and Social Network Analysis / Information / MDPI AG 11 (6) : 333~ / 10.3390/info11060333

[journal] Ali Daud / 2021 / Finding rising stars through hot topics detection / Future Generation Computer Systems / Elsevier BV 115 : 798~813 / 10.1016/j.future.2020.10.013

[journal] Li Yao / 2020 / Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system / Technological Forecasting and Social Change / Elsevier BV 160 : 120185~ / 10.1016/j.techfore.2020.120185
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