Geospatial Big Data Approach for Extracting Road Network Coverage using OpenStreetMap and Satellite-Based Topographic Map

Roads play a crucial role in life, particularly in the domains of logistics and transportation. In developing countries such as Indonesia, roads provide convenient access and connectivity between locations. Our main contribution to this study is identifying the completeness of road network coverage...

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Bibliographic Details
Published in2024 7th International Conference on Informatics and Computational Sciences (ICICoS) pp. 167 - 172
Main Authors Salsabilla, Aulia, Wijayanto, Arie Wahyu
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.07.2024
Subjects
Big Data
connectivity
Geospatial analysis
road network extraction
Roads
Soft sensors
Surfaces
Surveillance
Transportation
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Summary:Roads play a crucial role in life, particularly in the domains of logistics and transportation. In developing countries such as Indonesia, roads provide convenient access and connectivity between locations. Our main contribution to this study is identifying the completeness of road network coverage using geospatial big data from the OpenStreetMap and Satellite-based Topography Map of Indonesia (RBI); performing road extraction; and constructing road connectivity and accessibility evaluation. This study data source was collected from OpenStreetMap geospatial data by OSMnx and the RBI Map shapefile published by the Indonesian Geospatial Information Agency (BIG). The results of road extraction using OSM are then compared with the RBI map to determine the extent to which OSM can cover road data. We focus on the investigation in Jambi Province, one of the highest regional targeted road connectivity in Indonesia. Our finding reveals that OSM can offer greater road network coverage than RBI Map in locations adjacent to residential areas; yet, RBI has superior road coverage in non-residential areas surrounding agricultural land. Our study is potentially beneficial to providing accurate and cost-effective monitoring of regional connectivity and accessibility of road networks for sustainable development.
ISSN:2767-7087
DOI:10.1109/ICICoS62600.2024.10636921