Shipping flows - maritime 'footprints' - remain underexplored in
the existing literature despite the crucial importance of freight
transport for global trade and economic development. Additionally,
decision-makers lack a comprehensive view on how shipping flows can
be measured, analyzed, and mapped in order to support their
policies and strategies. This interdisciplinary volume, drawing on
an international cast-list of experts, explores a number of crucial
issues in shipping data estimation, construction, collection,
mining, analysis, visualization, and mapping. Advances in Shipping
Data Analysis and Modeling delivers several key messages. First,
that in a world of just-in-time delivery and rapid freight transit,
it is important to bear in mind the long-term roots of current
trends as well as foreseeable future developments because shipping
patterns exhibit recurrent, if not cyclical and path-dependent,
dynamics. Second, shipping flows are currently often understood at
the micro-level of intra-urban logistics delivery and at the
national level using commodity flow analyses, but this volume
emphasizes the need to expand the scale of analysis by offering new
evidence on the changing distribution of global and international
shipping flows, based on actual data. Third, that this
multidisciplinary approach to shipping flows can shed important
light on crucial issues that go beyond shipping itself including
climate change, urban development, technological change, commodity
specialization, digital humanities, navigation patterns,
international trade, and regional growth. Edited by experts in
their field, this volume is of upmost importance to those who study
industrial economics, shipping industries and economic and
transport geography.
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