USING CROWDSOURCED DATA (TWITTER & FACEBOOK) TO DELINEATE THE ORIGIN AND DESTINATION OF COMMUTERS OF THE GAUTRAIN PUBLIC TRANSIT SYSTEM IN SOUTH AFRICA

5 citations as recorded by crossref.

1. Exploring Commuting Characteristics and Regional Differences of New Energy Vehicles in the Guangdong–Hong Kong–Macao Greater Bay Area Based on ETC Big Data J. Huang et al. https://doi.org/10.1007/s12061-025-09659-1
2. Exploring the Interoperability of Public Transport Systems for Sustainable Mobility in Developing Cities: Lessons from Johannesburg Metropolitan City, South Africa T. Gumbo & T. Moyo https://doi.org/10.3390/su12155875
3. Societal context-dependent multi-modal transportation network augmentation in Johannesburg, South Africa T. Moyo et al. https://doi.org/10.1371/journal.pone.0249014
4. Exploring the Applicability of Location-Based Services to Delineate the State Public Transport Routes Integratedness within the City of Johannesburg B. Risimati & T. Gumbo https://doi.org/10.3390/infrastructures3030028
5. TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data P. Vitello et al. https://doi.org/10.1007/s42421-024-00091-4