Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment
Using The United State’s rail network as a yardstick, our report aims to draw parallels between our selected economies, them being The United States, China and India, in an attempt to lay out critical success factors that determines if a railway network is to succeed. By means of making comparison...
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sg-ntu-dr.10356-711242023-03-03T17:19:19Z Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment Cheong, Bryan Zhen Peng Teo Chee Chong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Transportation Using The United State’s rail network as a yardstick, our report aims to draw parallels between our selected economies, them being The United States, China and India, in an attempt to lay out critical success factors that determines if a railway network is to succeed. By means of making comparisons between the current state of all their economic statuses and rail networks as well as current and future trends, we pick out problem areas of these existing economies; building on data gathered and analysis made to make informed recommendations on how their economy should proceed in developing the industry. This means to say that The United States has the most developed network currently but is not indicative of how The United State's rail network is a faultless model. The purpose of doing so is to provide a framework for countries in developing nations or in the midst of developing their rail network to know the critical success factors that they have to focus on as well have guidelines as a basis of evaluating their progress. Bachelor of Science (Maritime Studies) 2017-05-15T05:07:10Z 2017-05-15T05:07:10Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71124 en Nanyang Technological University 89 p. application/pdf |
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DRNTU::Engineering::Civil engineering::Transportation Cheong, Bryan Zhen Peng Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment |
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Using The United State’s rail network as a yardstick, our report aims to draw parallels between our
selected economies, them being The United States, China and India, in an attempt to lay out critical
success factors that determines if a railway network is to succeed. By means of making comparisons
between the current state of all their economic statuses and rail networks as well as current and future
trends, we pick out problem areas of these existing economies; building on data gathered and analysis
made to make informed recommendations on how their economy should proceed in developing the
industry. This means to say that The United States has the most developed network currently but is not
indicative of how The United State's rail network is a faultless model. The purpose of doing so is to
provide a framework for countries in developing nations or in the midst of developing their rail network
to know the critical success factors that they have to focus on as well have guidelines as a basis of
evaluating their progress. |
author2 |
Teo Chee Chong |
author_facet |
Teo Chee Chong Cheong, Bryan Zhen Peng |
format |
Final Year Project |
author |
Cheong, Bryan Zhen Peng |
author_sort |
Cheong, Bryan Zhen Peng |
title |
Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment |
title_short |
Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment |
title_full |
Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment |
title_fullStr |
Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment |
title_full_unstemmed |
Growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (VUCA) environment |
title_sort |
growth strategies for rail networks in a volatile, uncertain, complex and ambiguous (vuca) environment |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/71124 |
_version_ |
1759857422223015936 |