Big data of the past: Analysis of historical freight shipping corridor data in the period 1662–1855

Wiegmans, B.; Witte, Patrick; Janic, M.; de Jong, Tom

doi:10.1016/j.rtbm.2020.100459

Big data of the past

Title

Big data of the past: Analysis of historical freight shipping corridor data in the period 1662–1855

Author

Wiegmans, B. (TU Delft Transport and Planning)
Witte, Patrick (Universiteit Utrecht)
Janic, M. (TU Delft Transport and Planning)
de Jong, Tom (Stellenbosch University)

Date

2020

Abstract

This paper examines the use of big data and data analytics in international transport networks from the perspective of historical big data, focusing on shipping logs from the British, Dutch, Spanish and French fleets in between 1662 and 1855. Based on a large-scale database containing mainly meteorological data collected in the CLIWOC project (2003), we computed travel distances and analyzed historical global maritime networks. This paper focuses on route choice, and consequently the time, distance, speed and reliability of the ships, covering different time periods, seasonal patterns and trade flows. The results reveal a clear picture of the main routes per nationality that is also indicative of the linguistical, cultural and economic colonial heritage that remains in the ‘host’ countries up to this day. The average daily distances covered vary over the countries involved, over the seasons and over different time periods. Also the trip characteristics vary notably over the different countries. Zooming in on the main trade flows, the corridor from the Netherlands to Indonesia stands out, but also considerable differences in average speed and stopover times were found along this route. Related to the complexity of using big data in studying international transport networks, our conclusion is that the degree of permutations and interactions with the dataset is not necessarily less for analyzing historical shipping records. It seems that big data of the past still can inspire future explorations of our historical transport networks on the world's oceans.

Subject

CLIWOC
Corridors
Data analysis
Historical freight data
Reliability
Time

To reference this document use:

http://resolver.tudelft.nl/uuid:6aad39c0-6fb2-4c72-817c-9b2e83d706d9

DOI

https://doi.org/10.1016/j.rtbm.2020.100459

Embargo date

2022-06-15

ISSN

2210-5395

Source

Research in Transportation Business and Management, 34