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Journal Article

Citation

Matijosaitiene I. Safer Communities 2016; 15(1): 49-62.

Copyright

(Copyright © 2016, Emerald Group Publishing)

DOI

10.1108/SC-05-2015-0013

PMID

unavailable

Abstract

PURPOSE The purpose of this paper is to combine both Crime Prevention Through Environmental Design (CPTED) and space syntax for the more detailed and overall analysis of built environment in terms of crime. The author is aiming to verify the designed research methodology by its application in cities that are similar in terms of size and population, and are very different in culture and location: New Haven (USA) and Kaunas (Lithuania).

DESIGN/METHODOLOGY/APPROACH Based on CPTED strategies the factors of urban environment are analyzed, such as topological depth from private space to a public space, density of entrances and windows, street's constitutedness, inter-visibility, land use, blind walls, segment's accessibility, greenery, lighting, objects of small architecture, graffiti. Space syntax method is applied for the analysis of the following topological properties of urban spaces: integration, choice, depth, connectivity.

FINDINGS The combination of both methods revels that choice and depth of urban spaces are related to robberies, and connectivity and depth are related to thefts from motor vehicles in New Haven. Integration and depth are related to thefts from motor vehicles in Kaunas. According to the correlation analysis results, in Kaunas more robberies happen in common use areas, and more thefts from cars happen in the spaces with blind walls and dense abandoned greenery. In New Haven more thefts from motor vehicles happen in spaces with blind walls. In both cities with the increase of the topological depth the thefts from motor vehicles increase too.

ORIGINALITY/VALUE Based on the research results recommendations on urban planning and design are developed. The implementation of the recommendations might make New Haven and Kaunas safer.


Language: en

Keywords

CPTED; Crime; Robbery; Space syntax; Theft from motor vehicle; Urban planning

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