anonymousera/urban-access-analysis-ethiopia

# Who Benefits from Urban Expansion? ### Resident Access, Travel Time, and Safety — Ethiopia Urban Expansion Initiative (UEI) > **Interactive visualization:** open `index.html` in any browser --- ## Overview Using the Ethiopia UEI household survey (8 cities; 4,000 households; balanced Impact vs. Control sample), this project analyzes how residents experience urban expansion: reported travel times and transportation modes to the city center, workplaces, food markets, schools, and health facilities — compared between Impact areas (within 500 m of new arterial roads) and Control areas, with full gender stratification. **Key finding:** The clearest impact of new road infrastructure is on **healthcare access** — Impact area residents report 5–10 fewer median minutes to health clinics and last-visited health facilities. Work commutes, school access, and safety perceptions show no statistically significant area differences. --- ## Key Results at a Glance | Outcome | Impact median | Control median | p-value | Significant? | |---------|:---:|:---:|:---:|:---:| | City center | 30 min | 30 min | < 0.0001 | ★ Yes | | Regular workplace | 25 min | 25 min | 0.874 | No | | Nearest grocery | 25 min | 25 min | 0.001 | ★ Yes | | Nearest meat/fish | 20 min | 20 min | 0.017 | ★ Yes | | **Nearest health clinic** | **20 min** | **25 min** | **< 0.0001** | **★ Yes** | | Nearest primary school | 20 min | 20 min | 0.406 | No | | Nearest secondary school | 30 min | 30 min | 0.255 | No | | **Last health facility visit** | **20 min** | **30 min** | **0.001** | **★ Yes** | Crime safety perception: both areas median 0.0, p = 0.955 (no difference). Traffic injury rate: < 2.5% across all area × gender groups. --- ## Repository Contents | File | Purpose | |------|---------| | `index.html` | **Interactive web visualization** — charts, key findings, statistical table | | `analysis.ipynb` | Executed Jupyter notebook (code + outputs + figures) | | `generate_uei_poster.py` | Regenerates `POST …