Sustainability of transport infrastructure integration begins with involving an all-inclusive transportation chain instead of only focusing on one part of the journey. This is achieved by facilitating spatial integration between diverse transport modalities to allow for a multiplicity of travel opportunities. This paper unpacks the extent of the spatial integration of non-motorized transport and urban public transport infrastructure within the city of Johannesburg in South Africa. Cycling activity datasets derived from Strava Metro and the spatial data of urban public transport infrastructures were collected to demonstrate existing spatial patterns and infrastructure connectivity. Exploratory spatial data analysis and focal statistics analysis were central in the data processing. The findings reveal that cycling activities are separated from urban public transport infrastructure, and the city of Johannesburg’s transport system is characterized by spatially fragmented commuting and cycling operations, with limited to no sharing of infrastructure. Most public transport stations are not easily accessible for non-motorized transport and are characterized by inadequate cycling facilities. In conclusion, the identification of an urban public transportation catchment area becomes essential for developing cities such as Johannesburg. This can be used as tool for planning infrastructural upgrades and forecasting potential public transport ridership while also assessing the impacts of investments in transit planning. There is thus a need to integrate motorized urban public transport and cycling infrastructural developments toward promoting multi-mobility and infrastructure sharing.

In the past decade, Johannesburg has actively participated in the investment and development of the Gautrain and Rea Vaya public transportation modes. However, the state of route networks connectedness amongst the two public transport modes has not been well documented. Thus, this study aimed to delineate the extent of routes network integration among the two modes. The study adopted a phenomenological case study survey design which applied a mixed-method approach to gather spatial, qualitative and quantitative data. Crowd sourced datasets from Facebook and Twitter were collected, and analyzed using the kriging interpolation method and descriptive statistics. Key informant interviews were also used to unpack the status quo of the two modes. Results indicate that there are limited areas where the route networks between the two modes are currently integrated. Variations in income levels may be a factor currently preventing inter-transfer between the two modes. The Rea Vaya has proven successful in improving accessibility to economic opportunities, with 70% of the social media posts reflecting positive views regarding route and travel timetables. The study recommends conscious efforts in planning and developing integrated rail and road route networks to promote efficiency of public transport systems.