PLANNING AND MANAGEMENT OF FIRE DISASTER IN IBADAN, NIGERIA
Description
The data were collected for PhD field work in the Department of Urban and Regional Planning, Faculty of Environmental Design and Management, University of Ibadan
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Steps to reproduce
Data were collected via a descriptive/normative survey design combining cross-sectional and longitudinal data on fire disaster management in Ibadan, Nigeria. 1. Study area: Delineate Ibadan metropolis into its constituent LGAs (inner-core and sub-urban), confirmed via fire service and emergency management records as fire-affected over the study period. 2. Sampling frame: Use total buildings (all uses) as the frame. Structure area as LGA → ward → community/neighbourhood. 3. Multistage sampling: Stage 1: Randomly select one community per ward; verify building counts via satellite imagery (Google Earth) and ground-truthing. Stage 2: Systematically draw a proportional random sample of buildings (3%) within each selected community. Stage 3: Within each building, randomly select one respondent (household head for residential; manager/owner/senior staff for non-residential). 4. Classify buildings by: building use (residential/non-residential), housing density (high/medium/low), community type (traditional/non-traditional), and city zone (inner/outer). 5. Secondary data: Collect records from fire service stations, emergency management agencies, planning/lands authority, local government, civil defence corps, NGOs/CBOs/FBOs, libraries, newspapers, and population/electoral commission data. 6. Instruments: Develop and administer (a) structured questionnaire (occupants/owners) covering socio-economics, building characteristics, fire history, impacts, awareness, preparedness, coping; (b) interview guides for institutional heads and key informants; (c) FGD guides (fire service staff, neighbourhood associations, multi-stakeholder group); (d) observation checklist with photos, measurements, and GPS coordinates. Translate instruments as needed; use trained field assistants. 7. Fieldwork: Administer questionnaires, interviews, FGDs to sampled respondents/stakeholders with informed consent and confidentiality assurance. 8. Coding/entry: Enter responses into SPSS, coding by measurement level (nominal/ordinal/scale). Compute derived indices (e.g., preparedness) per operational definitions. 9. Analysis: Use SPSS v23 for descriptive stats (frequencies, cross-tabulations, weighted means) and inferential stats (Chi-square, Spearman's, t-test, ANOVA, ordinal/linear regression, Pearson correlation) matched to specific hypotheses. Use Excel for charts, Word for tables. Confirm scale reliability via Cronbach's Alpha. 10. Validation: Cross-check sample sizes and building counts at community, LGA, and study-area levels against enumeration totals before finalizing dataset.
Institutions
- University of IbadanOyo State, Ibadan