Results and Discussion

This section is structured as follows; the cycling in Johannesburg is discussed first followed by a discussion on the smart mobility support system and lastly the findings on the level of uptake of the public transport system in Johannesburg is discussed.

Table 2 Indicators on smart mobility and uptake of public transport in Johannesburg

Theme

Indicator

Reya Vaya

Gautrain

Smart mobility support system

Automated ticketing

©

©©©©

Electronic ticketing

©

©©©

Information on public information displays (PID) on routes and waiting times

©

©

Mobile application that shows routes and waiting times

©

©©

Tickets online

©

©

Electronic bus stops

©

©

SMS services

©

©©

Public transport uptake; high speed train (The Gautrain) and bus rapid system (Reya Vaya)

Bus network density

0.30

N/A

Demand

0.53

©©©

Passenger numbers

25,000/day

580,000

per

month

Fares

©©©

©

Level of integration

©

©

One ticket system

©

©

Cycling in Johannesburg

From the Strava analysis it is indicated that the number of cycling trips for Johannesburg in 2014 was 84,297. Only 20% of the cycling trips are for commuting whereas recreational trips accounts for 80% of the cycling trips (Fig. 5). Although millions of Rands where invested in providing cycling infrastructure in Johannesburg, it appears that the money has been wasted as people in Johannesburg are not using cycling as means to commute to places of work. Perhaps there is need to invest in cycling infrastructure for recreation as the cycling for recreational purposes is very high.

Moreover it appears that although the municipal and provincial government are promoting cycling through a myriad of initiatives such as the eco-mobility festival 2015 which closed of private automobile use in Sandton for a month (October) whilst encouraging use of public transport and non-motorized transport (NMT), the public hardly utilizes cycling as a means of commuting. Therefore there is a strong need to understand the needs, perception, behaviours and characteristics of cycling to inform smart policy and planning. A lesson to be learn is that, it is impossible to promote smart mobility without informative data that can guide decisions, otherwise it will promote planning of ‘dumb’ infrastructure.

Monthly commuting and recreational trips in Johannesburg for the year 2014. Source Musakwa and Selala (2016)

Fig. 5 Monthly commuting and recreational trips in Johannesburg for the year 2014. Source Musakwa and Selala (2016)

Cycling trips per suburb in Johannesburg for 2014. Source Musakwa and Selala (2016)

Fig. 6 Cycling trips per suburb in Johannesburg for 2014. Source Musakwa and Selala (2016)

Figure 6 shows where cycling is common in Johannesburg and the map can be used to argue for investing in cycling infrastructure north of Johannesburg central business district (CBD) in suburbs such as Sandton and Midrand. With ubiquitous big data such as Strava, smart mobility can be supported by making smart and evidence based decision making in cycling infrastructure will save already strained resources in local government.

 
Source
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