eprintid: 4701
rev_number: 5
eprint_status: archive
userid: 1
dir: disk0/00/00/47/01
datestamp: 2024-08-13 11:43:59
lastmod: 2024-08-13 11:43:59
status_changed: 2024-08-13 11:43:59
type: thesis
metadata_visibility: show
sword_depositor: 1
creators_name: Dimmendaal, Twan
creators_id: S3469840
creators_email: t.dimmendaal@student.rug.nl
title: Aa spatial analysis on tipping points and physical disorder reports in Eindhoven
ispublished: unpub
full_text_status: public
abstract: This thesis examines the relationship between socioeconomic tipping points and reports of physical disorder in Eindhoven from 2015 to 2020. By analyzing 500x500 meter socioeconomic data using linear and segmented regressions, the study explores how income levels interact with disorder reports.
No significant income-based tipping points were found at the 500x500 meter scale or in larger areas of 1000x1000 or 2500x2500 meters. However, segmented regressions identified significant breakpoints in disorder reports at specific income thresholds, highlighting complex community responses. A positive association was found between the percentage of low-income residents and disorder reports per inhabitant, indicating that lower-income areas report more disorder, potentially due to higher actual disorder or greater reliance on municipal services. Significant breakpoints were identified at 49.2% and 60.5% for low-income households, suggesting critical ranges where community efforts to address disorder differentiate. Reports from low-income areas are processed slightly faster than those from higher-income areas, with a further significant decrease in processing in areas with 49.2% to 60.5% lower-income households. This indicates a concentrated municipal effort to maintain neighborhood quality in these areas. Fixed effect first-difference regressions showed that the influence of reports on income levels is nearly equal to the influence of income levels on reports, suggesting no clear causal relationship. While the number of reports is higher in low-income areas, it does not significantly drive socioeconomic changes.
The findings highlight the need for further research on the relationship between physical disorder and socioeconomic status. Municipalities should focus on community engagement in lower-income areas to foster collective efforts in maintaining neighborhood quality. Targeted policies should address areas with 49.2% to 60.5% lower-income households to prevent them from tipping into severe disorder. Understanding the dynamics of physical disorder reporting can help policymakers improve urban living conditions and prevent neighborhood decline.
date: 2024
pages: 63
thesis_type: master
degree_programme: SP
tutors_name: Rijnks, R.H.
tutors_organization: Fac. Ruimtelijke wetenschappen, Spatial Planning & Design
tutors_email: R.H.Rijnks@rug.nl
security: public
keywords_local: socioeconomic tipping points
keywords_local: broken windows theory
keywords_local: physical disorder
keywords_local: gentrification
keywords_local: urban policy
keywords_local: segmented regression analysis
language_iso: en
date_issued: 2024-08-12
citation:   Dimmendaal, Twan  (2024) Aa spatial analysis on tipping points and physical disorder reports in Eindhoven.  Master thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/4701/1/Thesis-.pdf