2. Age Range Comparison between PRM and SMTS Users
The age ranges of the group of PRM are compared with those of the SMTS users. Specific differences between them are assessed regarding age to determine the differences between potential candidates who could use the service and those who use it.
As observed in Figure 2, the age distribution of SMTS users is given in orange, and the PRM in Barcelona is stated in blue. On the Y-axis, the scale of the total number of SMTS users is displayed on the left side, while on the right side, the total number of PRM users is given. The X-axis shows the different age groups.
Figure 2. Age distribution and comparison between SMTS users and PRM. Orange bars (primary axis) represent SMTS data, while blue bars (secondary axis) represent PRM data.
It can be observed from the figure that the SMTS users are younger compared to the PRM (signified by the difference in orange and blue bars). As the X-axis represents the age of the individuals in increasing order, it indicates that the overall profile of the SMTS users has a lower age range than that of PRM. It is important to note that the mean age of SMTS users is 59.7 years, while the mean age of PRM is 74.5 years. The figure also shows that people over 90 years of age do not use the SMTS, while 16% of PRM belong to this age group. In addition, half of the PRM living in Barcelona are over 80 years old, while only 8% of SMTS users are over this age.
In summary, it can be found that users who use the SMTS service are on average younger than the potential users. One reason for the lower number of aged people using the SMTS is that these people tend to travel less and take shorter trips after retirement
[13]. Consequently, older people tend to make fewer trips than younger people and may change their transport mode. Another reason could be that because older people have a shorter attention span
[14], they have more problems entering the process that needs to be performed to receive this service (i.e., calling at a specific time to make a reservation so that rides are still available, waiting until the call centre is not busy and answering the call). For this reason, we believe that the reservation system should be more inclusive for older people. A third reason could be that older people do not want to go through the formalities to become a SMTS user. It should be noted that in order to use the SMTS, people must have a white card, an accreditation that officially recognises SMTS users and must be obtained through a formal process.
3. Neighbourhood Differences between PRM and SMTS Users
This section first analyses the residence of PRM and SMTS users, followed by a comparison between them. The 73 neighbourhoods of Barcelona were considered by measuring the density of PRM and SMTS users, concerning the region’s total population expressed per 1000 inhabitants. The results are presented in Figure 3a,b through a Choropleth map. Before explaining each Figure in detail, it should be noted that the neighbourhood of La Marina del Prat Vermell (located at the bottom left of the map) has been considered a particular case due to its idiosyncrasy. That is the reason why it has not been coloured on the map. It is a small neighbourhood with a small population where residential centres and housing have been given to people with disabilities. Therefore, it has a much higher number of PRM and SMTS users. The following figures will discuss the possible factors that could influence the results, although we have not found a direct correlation between them. The factors are neighbourhood income and the number of available public transport stations (considering the underground, the Ferrocarrils de la Generalitat de Catalunya (FGC) and the tram) per neighbourhood. We should bear in mind that other factors could contribute to the results.
Figure 3. (a) Density of the PRM residing in each neighbourhood of the city of Barcelona (per 1000 inhabitants); (b) Density of the of SMTS users residing in each neighbourhood of the city of Barcelona.
Figure 3a shows the density of PRM (per 1000 habitants) residing in the neighbourhoods of Barcelona. It can be found that a higher concentration of PRM lives in the district of Torre Baró (76 inhabitants), followed by Montbau (54) and el Barri Gòtic (47). Assessing the income profile of the neighbourhoods, they are in the 70th, 42nd and 18th position, respectively, on the list.
In Figure 3b, we can see the number of people using the SMTS (per 1000 inhabitants) in all neighbourhoods. Montbau, which is a neighbourhood located on the northeast side of Barcelona, presents the highest value of SMTS users (9.6), followed by Can Peguera (9), la Verneda i la Pau (6.8) and, Sant Martí de Provençals (6.3). It is important to mention that these neighbourhoods are near the bottom of the list regarding average income of the people living there (42nd, 65th, 59th and 54th position, respectively). Therefore, income could be an important factor in SMTS usage in low-income neighbourhoods, since people with lower incomes could take advantage of this kind of service. On the other hand, the public transport sections—taking into account the underground, the FGC and the tram—that are available in these neighbourhoods drastically change between these four top SMTS users’ neighbourhoods. Montbau is in the 25th position, Can Peguera has no stations, la Verneda i la Pau is in the 48th position, and Sant Martí de Provençals is in the 54th. Although these are not the neighbourhoods with the best public transport, in general, they are not the worst. On the other hand, the neighbourhoods that are using the SMTS less are el Barri Gòtic (1.1 inhabitants), les Tres Torres (1.6) and Vallvidrera, el Tibidabo i les Planes (1.7). These neighbourhoods are listed as high-income (18th, 2nd and 10th position, respectively). Therefore, we can conclude that, in general, the neighbourhoods that make more use of the service have a lower income than the ones that use it the least.
To compare the SMTS users and the PRM, the ratio between them was calculated by dividing the number of people using the SMTS by the PRM in each neighbourhood. This approach allows us to see the percentage of PRM that use the SMTS, as shown in Figure 4. In general, it can be observed that the neighbourhoods situated on the east side of Barcelona are the ones who are using the service more. In general, these neighbourhoods are the ones with lower-middle-income families. The ones located on the northwest side of Barcelona are the ones that are using the SMTS in a lower percentage of the cases. These neighbourhoods are situated in areas with higher incomes. These results show that income may be a relevant factor in explaining the use of the SMTS, while we have not found any significant associations with public transport.
Figure 4. Ratio of PRM using the SMTS. The number indicates the percentage of PRM who use the SMTS in each neighbourhood. Greener colours indicate a higher percentage of PRM are using the SMTS. Redder colours indicate a lower percentage of PRM are using the SMTS.
Several other factors should be considered to understand the differences between neighbourhoods. The topography of Barcelona, which sits between the Mediterranean Sea and the Catalan Coastal Range, is crucial. Some neighbourhoods are situated in the hilly areas where the streets are steeper, making it more difficult for PRM to visit the closest public transport station, while others are located in flatter or plains areas. Furthermore, although we have not found a clear relationship with the amount of public transport available, it would also be interesting to analyse the waiting time to take public transport, the distance between stops, the accessibility of stations and the number of transfers needed to get from one point to another.
4. Behaviour of the Users
This section analyses the behaviour of users in terms of the frequency of use of the SMTS. When examining the users’ frequency of use of the SMTS, it can be observed that the top 1% of users who make more use of the SMTS benefit from 19% of the trips. In contrast, it takes 76% of the users who use the service the least to reach the same 19% of trips, which shows disproportionality of behaviour among SMTS users. Therefore, a post hoc analysis was further conducted to investigate the behaviour of users by categorising them according to the frequency of SMTS usage. These are placed into three categories: sporadic, frequent and overactive users.
The sporadic users utilise the service once per month (or even less), while the frequent users profit from this service up to two times per week. Lastly, the overactive users are the ones who use this service excessively, more than two times per week. By the results presented in Table 1, it is worth mentioning that 12.97% of the total trips are made by 68.58% of sporadic users, indicating that these users are not the primary users of the total trips. Specifically, 37.53% of the full trips are being utilised by only 3.52% of the users, namely the overactive ones. In fact, some overactive users have undertaken more than 1000 trips. These results show the importance of categorising the trips accordingly to the behaviour of the users.
Table 1. Information on the number and percentage of users and trips in each category of user behaviour.
User Type |
No. of Users |
% of Users |
No. of Trips |
% of Trips |
Sporadic users |
4520 |
68.58 |
32,977 |
12.97 |
Frequent users |
1839 |
27.90 |
125,878 |
49.50 |
Overactive users |
232 |
3.52 |
95,448 |
37.53 |