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?

DOI

Deze datasets komen voort uit het project Dangerous Cities. Voor achtergrondinformatie en structuur van de databestanden (metadata) zie de gedeponeerde PDF.Background and research questionsUCL 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.DatasetTwo 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. 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.

Identifier
DOI https://doi.org/10.17026/DANS-ZZ8-XPTM
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/DANS-ZZ8-XPTM
Provenance
Creator S. Tegelaar
Publisher DANS Data Station Social Sciences and Humanities
Contributor RMR van Oosten; M van der Windt (Ms); M Pluskota
Publication Year 2018
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact RMR van Oosten (Universiteit Leiden)
Representation
Resource Type Dataset
Format text/tab-separated-values; application/zip; text/csv; application/pdf
Size 152021; 154612; 19673; 315800; 20412; 299894; 137808; 598370
Version 3.0
Discipline Humanities