Dataset: Transport of Goods via Harbours and Railway in Funen, 1865-1920

Abstract

Transportation is an important prerequisite for the production of a society, and it contributes to economic growth by making a still larger division of labour possible. However, transportation of goods has only been dealt with to a limited degree in previous research literature. The purpose of this survey is, in a well-defined limited area, to remedy this situation. This will be in the form of a regional quantitative analysis of the transportation of goods via harbours and railway in Funen in the period 1865-1920. An attempt will be made at throwing light on two aspects in particular: 1) The relative importance of these two means of transportation for the turnover as such as well as for selected items (of goods); and 2) How the trade of goods influenced the city system in Funen: Who were the winners and the losers in the battle of attracting as much trade from the surrounding area as possible? # The period 1865-1920 was chosen as an analysis of the harbour and railway trade with only a limited degree of uncertainty will be the same as Funen's total wholesale trade with the surrounding world. The other means of conveyance at that time could not cope with wholesale trade. The capacity and tractive power of the horse-drawn carriage was limited, and even towards the end of the period the automobile was not yet an important means of transport over longer distances. The surrounding areas of the towns are expected to be considerably influenced by the development of the means of transport. The relative stability which more recent research has demonstrated regarding the end of the 18th century and the beginning of the 19th century is expected partly to break up or at least to change character concurrently with the improvements regarding traffic and means of transport. # In order to be able to handle the question of the battle of attracting trade from the surrounding areas a short account will be given regarding cities and city theories. In this way a conceptual frame is established for the grouping of the separate railway service offices into three categories: 1) The city of Odense, 2) The sea-market towns, and 3) The country stations. An important point is also to show what a mapping out of the transportation of goods may be used for seen in relation to what has been published on urban development on the basis of demographic and economic geographical conditions. # The mapping out of the transportation via harbours and railway is used to answer the question of how Odense, the local centre of Funen, developed in relation to the market towns and the country stations. At the time all the market towns strongly wished to achieve as large a market as possible, the axis preferably being harbour import and export combined with railway distribution. This survey deals with how things actually developed. The new towns which developed - the country stations - are compared to Odense and the sea market towns, and the volume of trade of those stations which did not achieve status as market towns are compared with the railway towns. These towns and country stations, which were situated between Odense and the sea market towns, are described separately as regards the development of trade and their turnover is seen in relation to Odense and the sea market towns. # Previous assessments of the battle of the towns for market shares will be evaluated on the basis of more reliable sources than has been the case so far

Variable Groups

Full Title

Transport of Goods via Harbours and Railway in Funen, 1865-1920

Parallel Title

Varetransport på Fyn via havn og jernbane 1865-1920

Identification Number

DDA2574

Bibliographic Citation

Transport of Goods via Harbours and Railway in Funen, 1865-1920, Danish Data Archive, DDA2574, version: 1.0.0, 10.5279/DK-SA-DDA-2574

List of Keywords

History: History

Geographic Coverage

Descriptive Text

DK, Fyn

Descriptive Text

DK, Funen

Unit of Analysis

Individual

Universe

Location of units of observationTime limits

Kind of Data

survey data

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