Paris: address book of the past
Introduction
This project works with around 4.4 million datapoints which have been extracted from address books in Paris. The address books date from the period 1839-1922 and contain the name, profession and place of residence of Parisian citizens. In a first step, we align this data with geodata of Paris’s city network, in order to be able to conduct a geospatial analysis on the resulting data in a second step.
Motivation
In the 19th century, Paris was a place of great transformations. Like in many other European cities, the industrialization led to radical changes in people’s way of life, completely reordering the workings of both economy and society. At the same time, the city grew rapidly. While only half a million people lived there in 1800, the number of inhabitants increased by the factor of nearly 7 within one century. To get control over the expansion of the city and to improve people’s living conditions, the city underwent constructional changes during the Haussmann Period (1853-1870), leading to the grand boulevards and general cityscape that we know today.
While all those circumstances have been well documented and studied extensively, they could mainly be described in a qualitative manner, e. g. by looking at the development of certain streets. The Bottin dataset, providing information on persons, their professions and locations during exactly the time of change described above, will be able to open new perspectives on the research, as it permits to analyze the economic and social transformation on a grander scale. With this data, it will be possible to follow the development of a chosen profession over the whole city, or to look at the economic transformation of an Arrondissement throughout the century.
This project will give an idea of the potential which lies in the Bottin Data to contribute to the research on Paris’s development during the 19th century.
Deliverables
- Github
- Google Drive
Data
Bottin Data
Tagged Professions
Street Networks
Vasserot Data (1836)
Open Street Data (2022)
Organisation
Planning:
Part | Tasks | |
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Week 4 | Alignment | tba |
Week 5 | tba | |
Week 6 | tba | |
Week 7 | ||
Week 8 | ||
Week 9 | ||
Week 10 | ||
Week 11 | Analysis | |
Week 12 | ||
Week 13 | ||
Week 14 |