The case of electoral polling station data for geocoding in facilitating accessibility to social, economic and cultural opportunities in Ghana

Abstract

ABSTRACT It is widely acknowledged that geographic data in Ghana and most of Sub-Sahara Africa is patchy, and lack geographic coverage and detail. This has implications for mobility and access to socioeconomic, and cultural opportunities which require address and location data typically provided through geocoding. A critical component of geocoding is a reference database to lookup matching address and location information. Accordingly, we investigate the suitability of, and the use of electoral polling stations to build a reference database for geocoding. This was undertaken by mapping their geographic coordinates, analyzing their geographic spread and detail, and outlining the database structure for building the reference database. Using the 2020 electoral polling station data for the Greater North area of Ghana, we found that 93% of the geographic coordinates can be obtained from open data sources. Also, there is high proximity with a nearest neighbor distance of 663 m, a reasonable service area of 4300 m, and a median distance of 3700 m from a community location. The widespread availability, large geographic spread and moderate detail, make polling stations a creditable data source for geocoding. It is recommended the polling station data be augmented with a detailed geographic data like those from landmarks and paratransit service.