Accessibility to public transportation system is a major concern in the cities of South Africa. The existing public transportation route network system offers poor accessibility from the residential areas to the public bus transportation nodes (bus stops/ranks) and vice versa in the cities of South Africa. Therefore, using the existing public bus transportation system in Durban, the objective of the study was to make a public transportation route network analysis to examine the accessibility of different areas in terms of walking distance and time to the public bus transportation network. A remote sensing-premised geographic information system method was used for the study. Findings suggested that different areas of the city are located at a distance between 0.5 km (0.31 mi) and 15 km (9.32 mi) from the public transport route networks. The inner-city areas including the central business districts that are located between 0.5 (0.31 mi) and 1.0 km (0.62 mi) are relatively more accessible in which people take a little above 8 minutes to a little above 16 minutes to reach a public transportation node. However, the areas located at a distance more than 15 km (9.32 mi) are highly inaccessible, and it takes more than 4 hours of walking to reach a node (bus stops). The study evidenced the current accessibility challenges in the public transport system in Durban, and the findings could assist in upgrading or re-configuring the route network system to make it more accessible.
GIS, Remote Sensing, Spatial Network Analysis, and Transportation accessibility
 Statistics South Africa, http://www.statssa.gov.za/?page_id=739&id=3 accessed on 05,June 2020.
 National Household Travel Survey, Statistics South Africa, 2014, 6.
 Mtizi, C., Southern African solutions to public transport challenges. 36th SouthernAfrican Transport Conference (SATC 2017) ISBN Number: 978-1-920017-73-6, 2008.
 Ferranti, E, Andres L, Denoon-Stevens, S.P., Melgaço, L, Oberling, D, & Quinn, A.Operational Challenges and Mega Sporting Events Legacy: The Case of BRT Systemsin the Global South. Sustainability 2020, 12, 1609; DOI:10.3390/su12041609, 2020.
 Aropet R., Southern African solutions to public transport challenges. 36th SouthernAfrican Transport Conference (SATC 2017) ISBN Number: 978-1-920017-73-6, 2017.
 Findley, L & Ogbu, L., South Africa: From Township to Town. Places JournalPublication, 2011.
 TCR P Report 19, Guidelines for the Location and Design of Bus Stops. TransportationResearch Board Executive Committee, 1996.
 Nagne, A.D & Gawali, B.W., Transportation Network Analysis by Using Remote Sensingand GIS A Review. International Journal of Engineering Research and Applications(IJERA) ISSN: 2248-9622 www.ijera.comVol. 3, Issue 3, May-Jun, pp.070-076, 2013.
 Liu, S. & Zhu, X., Accessibility Analyst: An Integrated GIS Tool for AccessibilityAnalysis in Urban Transportation Planning. Environment and Planning B: Planningand Design, 31, 105-124, 2016.
 Berg, C.N, Deichmann, U, Liu, Y & Selod, H., Transport Policies and Development, TheJournal of Development Studies, 53:4, 465-480, DOI: 10.1080/00220388.2016.1199857,2017.
 Manisalidis, I, Stavropoulou, E, Stavropoulou, A, & Bezirtzoglou, E., Environmentaland Health Impacts of Air Pollution: A Review. Public Health, https://doi.org/10.3389/fpubh.2020.00014, 2020.
 Norbäck, R., The Role of Public Transport and It’s Financing. Nobina Group, 2017.
 Reza, Z.F, Elnaz, M, Szeto, W.Y. & Hannaneh, R., Review of Urban TransportationNetwork Design Problems. European Journal of Operational Research, 2013, v. 229 n.2, p. 281-302, 2013.
 Department of Transport, Public Transport Strategy South Africa, 2007.
 Lu, K., Han, B. & Zhou, X., Smart Urban Transit Systems: From Integrated Frameworkto Interdisciplinary Perspective. Urban Rail Transit4,49–67 https://doi.org/10.1007/s40864-018-0080-x, 2018.
 Caschili, S., COMPLEXNETGIS: A Tool for The Analysis of Complex SpatialNetworks. Research Gate publication, 2010.
 Esri Support GIS Dictionary. https://support.esri.com/en/other-resources/gis-dictionary/term/79246537-2e54-45f4-a5b9-64a1bfc225b2, Accessed on 17 June 2020.
 Zuidgeest, M.H.P, Brussel, M.J.G, & Maarseveen, M.F.A.M.V., GIS for SustainableUrban Transport. ISPRS International Journal of Geo-Information. University of CapeTown, South Africa, 2015.
 Curtin, K.M., Network Analysis in Geographic Information Science: Review,Assessment, and Projections. Cartography and Geographic Information Science 34:2,103-111, DOI: 10.1559/152304007781002163, 2007.
 Ngubane, L., The State of Public Transport in South Africa. Public Transport and SafetySymposium, 2018.
 Go! Durban, City of eThekwini. State of Cities Report Dashboard Indicators, 2016.
 Public Transport Plan, eThekwini Transport Authority, 2005.
 Graham, S.R., Carlton, C, Gaede, D, & Jamison, B., The Benefits of Using GeographicInformation Systems as a Community Assessment Tool. Public Health Rep, 2011.
 Foda, M.A. & Osman, A.O., Using GIS for Measuring Transit Stop AccessibilityConsidering Actual Pedestrian Road Network. Journal of Public Transportation, Vol.13, No. 4, 2010.
 Murray, A.T, Wu, X., Accessibility trade-offs in public transit planning. J GeographSyst 5, 93–107 https://doi.org/10.1007/s101090300105, 2003.
 Ammons, D.N, Coe, C. & Lombardo, M., Performance-Comparison Projects in LocalGovernment: Participants’ Perspectives. Public Administration Review • January/February, Vol. 61, No., 2001.
 Soares, C.A.M & Quintanilha, J.A., Identification of Trip Generators Using RemoteSensing and Geographic Information System. Transportation Research InterdisciplinaryPerspectives Volume 3, December 2019.
 Soto, P.D., Chapter 13 Network Analysis to Model and Analyse Roman Transport andMobility of Finding the Limits of the Limes Modelling Demography, Economy andTransport on the Edge of the Roman Empire, 2019.
 Dondo, C. & Rivett, U., Spatial information systems in managing public transportinformation, South Africa journal of Information Management, Vol.6, No. 2, pp. 1-14,2004.