eprintid: 4807
rev_number: 5
eprint_status: archive
userid: 1
dir: disk0/00/00/48/07
datestamp: 2024-12-11 09:35:04
lastmod: 2024-12-11 09:35:04
status_changed: 2024-12-11 09:35:04
type: thesis
metadata_visibility: show
sword_depositor: 1
creators_name: Weerd, Carst de
creators_id: S3698718
creators_email: carstdeweerd@hotmail.com
title: Mapping Gentrification in London: A Comprehensive Analysis of Socio- economic and Physical Neighbourhood Traits.
ispublished: unpub
full_text_status: public
abstract: This study delves into the dynamics of gentrification in London, UK, aiming to find patterns and link socio-economic and physical neighbourhood characteristics to the likelihood of gentrification. This study uses a quantitative approach and uses secondary data from British governmental institutions and employs a timespan of 9 to 19 years. The findings shed light on positive associations between the likelihood of gentrification and the presence of historic buildings, the size of private gardens, limited improvements in public transport, a higher percentage of white residents and proximity of affluent areas. On the contrary, the increased distance to the city centre shows negative associations with the probability of gentrification. This study extends to the influence of recently gentrified areas on the likelihood of gentrification and shows a negative relationship, solely in some particular areas in the city. These nuanced insights contribute to the understanding the complexity of gentrification patterns in London.
date: 2024
pages: 37
thesis_type: master
degree_programme: VG
tutors_name: Kuiper, N.M.
tutors_organization: Fac. Ruimtelijke wetenschappen, Basiseenheid Economische Geografie
tutors_email: N.M.Kuiper@rug.nl
security: public
keywords_local: Gentrification
keywords_local: Logistic Regression
keywords_local: GIS
keywords_local: Neighbourhood Characteristics
language_iso: en
date_issued: 2024-12-10
citation:   Weerd, Carst de  (2024) Mapping Gentrification in London: A Comprehensive Analysis of Socio- economic and Physical Neighbourhood Traits.  Master thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/4807/1/MT-Carst-de-Weerd-RUG.pdf