Detailed Record



Integrating a Multi-criteria Route Optimization with ArcGIS for Gravel Road Data Collection


Abstract The ability to identify and collect low-volume roads’ data, especially gravel roads, is critical in transportation planning. Developing an effective method for gravel-road data collection allows both decision-makers and local agencies to efficiently obtain information regarding road conditions. In this study, a geographical information system (GIS)-based decision- support system was applied to assist local agencies in determining reliable access routes to all gravel roads in Wyoming. The routing criteria were developed using the Network Analyst tool of ArcGIS software based on the restrictions on average daily traffic (ADT) volume values, speed limits, driving distances and driving hours per day. Results indicated that the routing maps created by ArcGIS software were an easy-to-use method to plan and schedule data collection on gravel roads. The routing analysis provided a reliable means to minimize driving time and distance. The methodology developed in this study may be employed by local transportation agencies for road-maintenance purposes in rural areas. KEYWORDS: Low-volume roads, Gravel roads, Route optimization, ArcGIS, Data collection.
Authors Omar Albatayneh ORCID , Dima A. Husein Malkawi ORCID , Er Yue University of Wyoming , Benjamin Fosu-Saah University of WyomingORCID , Khaled Ksaibati University of WyomingORCID
Journal Info Jordan University of Science and Technology | Jordan Journal of Civil Engineering , vol: 17 , iss: 1 , pages: 150 - 162
Publication Date 5/10/2023
ISSN 1993-0461
TypeKeyword Image article
Open Access bronze Bronze Access
DOI https://doi.org/10.14525/jjce.v17i1.13
KeywordsKeyword Image Web-based GIS (Score: 0.566942) , Road Ecology (Score: 0.519257) , Participatory GIS (Score: 0.516011) , Crowdsourced Mapping (Score: 0.50094)