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Dataset for 'Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations'.

Makanga, Prestige Tatenda (2023) Dataset for 'Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations'. [Data Collection]

Summary

A database of travel times to facilities that can provide comprehensive EmOC in the 15 most populated extended urban areas (conurbations) in Nigeria. The travel times from cells of approximately 0.6x0.6km to facilities were derived based on Google Maps Platform’s internal Directions Application Programming Interface (API). The API incorporates estimates of traffic to provide closer-to-reality estimates of travel time. Computations were done to the first, second and third nearest public or private facilities. Travel time for eight traffic scenarios (including peak and non-peak periods) and the number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.

Faculty: Department: Clinical Sciences & International Health > International Public Health Department
Data Type: Geospatial
Date Deposited: 26 Jun 2024 12:47
Last Modified: 26 Jun 2024 12:47
URI: https://archive.lstmed.ac.uk/id/eprint/24829

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