Data · dataset · 2025
Dangerous Cities. Dangerous Cities: Mapping crime in Amsterdam and Leiden, 1850–1913. To what extent did the street patterns in urban districts influence crime patterns?
Listed in DANS Data Station Social Sciences and Humanities
Deze datasets komen voort uit het project Dangerous Cities.
Description
Voor achtergrondinformatie en structuur van de databestanden (metadata) zie de gedeponeerde PDF. Background and research questions UCL Architecture’s Space Syntax Laboratory, which focuses on crime and urban design, concluded that there was ‘no correlation between crime and density, only a poor correlation between affluence and crime, but a very strong correlation between layout type and all kinds of crime, with traditional street patterns [relatively straight streets] the best and the most modern hierarchical layouts the worst’ (Hillier 2004).
These results, regularly reprised by criminologists, have, however, never been tested in an historical context, which is what this project aims to do. Dataset Two case studies have been selected: Amsterdam and Leiden, 1850–1913, based on the Arrondissementsrechtbank (Noord-Hollands Archief Haarlem) and Kantongerecht (Nationaal Archief The Hague) archives, respectively. Judicial registers in these archives detail c. 50,000 individuals charged for Amsterdam and 10,000 for Leiden from the mid-19th century onwards.
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Two types of information have been recorded, the personal details of the charged (name, age, civil status and employment) and details of the crime (where, what, when). These registers are an excellent source for a systematic analysis using databases and GIS applications, but they have rarely been studied.
Links
Where it is published
- Dataverse dataset page ssh.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-ZZ8-XPTM ↗
landing page · from ssh datastations nl
- DOI doi.org/10.17026/dans-zz8-xptm ↗
DOI / persistent id · from ssh datastations nl
Catalogue records · 1
- Dataverse API ssh.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from ssh datastations nl
Topics
- Stated by source
- Arts and Humanities
- From keywords
- Humanities · Social Science
- Inferred from text
- Historical studies of crime 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Social Sciences and Humanities | doi:10.17026/DANS-ZZ8-XPTM | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:430311 | enrichment · ssh datastations nl | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].dataverse_subject:arts-and-humanities | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| created_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| description | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /description |
| publication_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| title | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /name |
| updated_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| version_label | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 |