Christopher J. Russell , Chia-Lin Chen , Chan-Yuan Wong
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Bridging the gap between high-speed rail transport studies and cluster economics through social knowledge exchange: future research potential
Within the high-speed rail debate (HSR) there has been lacking in-depth theoretical and evidential research on the role HSR has on tacit knowledge flows between industrial clusters or regions of economic productivity. The research that has begun to emerge has focused on knowledge indicators such as patents for social/tacit knowledge exchange, which this paper raises concerns over. This review aims to discover new links for HSR with cluster economics through social knowledge theory and aims to create a conceptual framework that will provide a new perspective for future research in the HSR debate concerning social knowledge exchange. Potential implications are presented for future transport policy decision-making, based on the relationship HSR may have with inter-regional tacit knowledge flows and accessibility benefits in regional balancing. Future research considerations are pointed out that argue to measure the flow of knowledge from HSR, research needs to go in-depth to the social aspect of interactions and relationship buildings, as quantitative data will struggle to capture tacit knowledge flow itself, due to the tacit nature of such information. The presented framework highlights the tacit nature of interactions facilitated by HSR connectivity.
期刊介绍:
Transport Reviews is an international journal that comprehensively covers all aspects of transportation. It offers authoritative and current research-based reviews on transportation-related topics, catering to a knowledgeable audience while also being accessible to a wide readership.
Encouraging submissions from diverse disciplinary perspectives such as economics and engineering, as well as various subject areas like social issues and the environment, Transport Reviews welcomes contributions employing different methodological approaches, including modeling, qualitative methods, or mixed-methods. The reviews typically introduce new methodologies, analyses, innovative viewpoints, and original data, although they are not limited to research-based content.