ARTICLE ANALYSIS

Analysis of article using Artificial Intelligence tools





Id 2899
Author Lee S.
Title The safety of public space: urban design guidelines for neighborhood park planning
Reference

Lee S. The safety of public space: urban design guidelines for neighborhood park planning,Journal of Urbanism 15 2

Keywords
Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102691101&doi=10.1080%2f17549175.2021.1887323&partnerID=40&md5=6259c7518400aac56e444504aae5e4dc
Abstract Neighborhood parks are recognized as key urban public spaces that potentially add value to adjacent neighborhoods. Safety is an important measure of neighborhood park success, and thereby an important criterion of its social value. However, little empirical research has examined physical attributes of neighborhood park contexts and their correlation with crime. The present research provides an in-depth understanding of the relationship between the morphological context of neighborhood parks, and property/violent crimes. It employed a multiple regression analysis to explore this relationship for 150 neighborhood park contexts within the City of Chicago, revealing that variables associated with high-density, permeability, and mixed-use development do not necessarily correlate with reduced property/violent crime rates. However, some variables representing “traditional neighborhood” characteristics do correlate with lower property/violent crime rates. This study can assist urban designers and planners to develop appropriate urban design guidelines for neighborhood park planning. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

Metodology

Technique

Keyword Find research methods used
Tentative Keyword Show Candidate Transition Variables for article (AI method)
Categories Find category for article (AI method)
Crossover theme Find social impact for article (AI method)
Wordcloud Show WordCloud from article (AI method)
Find semantically similar articles Find semantically similar articles (Semantic search)