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Shinya Hanaoka

Researcher at Tokyo Institute of Technology

Publications -  130
Citations -  1760

Shinya Hanaoka is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Computer science & Port (computer networking). The author has an hindex of 22, co-authored 114 publications receiving 1342 citations. Previous affiliations of Shinya Hanaoka include Asian Institute of Technology.

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Promoting intermodal freight transport through the development of dry ports in Asia: An environmental perspective

TL;DR: Intermodal transport opportunities presented by the development of inland dry ports in hinterland locations are examined and the lessons to be learned for the promotion of intermodal freight transport from selected Asian countries as well as the policy options available are presented.
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Low-cost carriers in Asia: Deregulation, regional liberalization and secondary airports

TL;DR: In this paper, the authors examined the impact of Asia's domestic and international airline regulations and airport infrastructure on the performance of low-cost carriers and found that the Southwest effect may also exist in Asia and that the development of lowcost terminals may compensate, at least partly, the scarcity of secondary airports in the region.
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The cruise industry and the COVID-19 outbreak

TL;DR: It is found that countries with arrival and departure ports and with ports that continued to accept cruise ships until March have a higher COVID-19 infection rate than countries that did not.
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Reasonable concession period for build-operate-transfer road projects in the Philippines

TL;DR: In this article, the authors proposed a methodology to determine the reasonable concession period that would be advantageous both to the government and the private sector with the impact of risks taken into consideration in the financial evaluation using Monte Carlo simulation and bargaining game theory.
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Relief inventory modelling with stochastic lead-time and demand

TL;DR: A humanitarian disaster relief inventory model that assumes a uniformly distributed function in both lead-time and demand parameters, which is appropriate considering the limited historical data on relief operation is developed.