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.
Highlights
Today, online platforms and the Internet of Things (IoT) are applied to mobility such as automobiles, trains, and airplanes to form closely connected transportation networks around the world
According to Son et al (2012), who conducted the patent analysis based on the generative topographic map (GTM)-based patent map, an
According to Son et al (2012), who conducted the patent analysis based on the GTM-based patent map, an appropriate value of K should be assigned so that the map cannot be too sparse or dense [46]
Summary
Online platforms and the Internet of Things (IoT) are applied to mobility such as automobiles, trains, and airplanes to form closely connected transportation networks around the world. Technologically sophisticated, fast, and eco-friendly mobility is defined as smart mobility [1,2]. Smart mobility has enriched the living environment of most people. It is contributing to the improvement of transportation convenience for mobility impairment such as the elderly, pregnant women, infants and children. Smart mobility can be more effective for mobility impairment who have a lot of difficulties in performing natural activities compared to the public. It is necessary to focus on the technology development of smart mobility for mobility impairment. It is not easy to carry out research and development (R&D) since technology development is progressing very rapidly and future technologies are unpredictable
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