## 7 Conclusions and Discussion  
Although underdeveloped urban regions make up a large percentage of urban areas, there is very little research into the mobility circumstances that affect people within these areas. Although there are studies [5] that indicate a link between the mobility and subjective wellbeing of people, they focus on a much different populace.  
The lack of research into the mobility of people that live in underdeveloped regions can be partially attributed to a lack of infrastructure. Studies that have been done in other regions of the world [16] are impossible to replicate in regions that are so underdeveloped in infrastructure. We believe that studies, such as this one, can serve as a small piece of the foundation for further research into people's mobility in these areas. We intend to present our findings to the local authorities, so they can determine actions to help mitigate the problems that are faced in people's daily mobility. Some possible actions are: finding a more direct route that buses can take, identifying the need for new routes in public transportation, prioritize the placement of public lights, etc.  
This study served as a first step to understand how mobility can differ between what is expected and reality in an underdeveloped region, such as Camino Verde, Tijuana. While this study had few participants, we collected a large number of routes and compared them to what we could consider to be an expected route. The quantitative results show that people in these regions are affected in their mobility, mainly in four aspects: in their geography, time, economy, and safety. Further qualitative analysis provided insights into the decisions that have to be made in order to overcome or mitigate the affecting factors. For future work, we consider applying more questionnaires, both before and after the mobility data collection.  
This study proposes a way to collect mobility data from people that live in underdeveloped regions. We believe that access to this data could prove to be useful in designing better cities and creating better navigation applications while using semantic data. As future work, more research should be done on the subject of participants' reports of factors affecting their mobility, which, from the interviews, were classified in the categories of geography, time, security, and economy. Our qualitative analysis up to now is only speculative due to a lack of more participants for interviews. A future study could also use the same methods to collect data in a first-world city, thus allowing for us to create a comparison between the two regions.  
All the authors contributed equally to this work under different roles. All authors have read and agreed to the published version of the manuscript.  
This work was developed under a grant by CONACyT (the Mexican National Council for Science and Technology). The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  
The authors wish to acknowledge the help from members of Torolab at La Granja, and the participation of the neighbors at Camino Verde.  
The authors declare no conflict of interest.