Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development

Jiwon Yu, Jong-Gyu Hwang, Jumi Hwang, Sung Chan Jun, Sumin Kang, Chulung Lee and Hyundong Kim
Additional contact information
Jiwon Yu: Department of Industrial Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea
Jong-Gyu Hwang: Center of New Transportation Innovation Research, Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang 16105, Gyeonggi, Korea
Jumi Hwang: Department of Industrial Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea
Sung Chan Jun: Department of Industrial Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea
Sumin Kang: Department of Aerospace Engineering, University of Michigan, 500 S. State Street, Ann Arbor, MI 48109, USA
Chulung Lee: School of Industrial Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea
Hyundong Kim: Division of Interdisciplinary Studies for Creativity, Daejin University, 1007 Hoguk-ro, Pocheon-si 11159, Gyeonggi-do, Korea

Sustainability, 2020, vol. 12, issue 22, 1-22

Abstract: With the development of the online platforms and the Internet of Things (IoT), various transportation services have been provided, and the lifestyle of the general public has changed significantly. However, the speed of development of technologies and services for the mobility handicapped has been relatively slow. Accordingly, in this paper, the smart mobility patent data for the mobility handicapped is subdivided through clustering to derive the mobility handicapped-related vacant technologies, and the prospect of the vacant technology is verified. For each cluster, a technology level map is generated in consideration of the technology growth level and the scope of authority of the vacant technology derived through the generative topographic map (GTM) patent map, and the level of the vacant technology is checked in terms of quantity and quality. Both indicators perform time series analyses on superior technology to predict technology trends and determine the technology’s promisingness. Unlike the precedent studies that focused only on quantitative analysis methods, this paper identified the usefulness of the technology through clustering and various verification processes and materialized it as a vacant technology that is applicable to actual R&D. Accordingly, through this empirical paper, it is possible to understand the current level of vacant technology in smart mobility for the mobility handicapped and establish an R&D strategy to prevent monopoly in technology in the future market and maintain competitiveness. It can also be utilized for new technology development in consideration of convergence with currently developed technology.

Keywords: smart mobility; patent analysis; vacant technologies; mobility impairment; promising technologies (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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