Analysis of Social Networking Service Data for Smart Urban Planning

: New technologies are changing the channels of communication between people, creating an interconnected society in which information ﬂows. Social networks are a good example of the evolution of citizens’ communication habits. The user-generated data that these networks collect can be analyzed to generate new useful information for developing citizen-centered smart services and policy making. The aim of this paper is to investigate the possibilities offered by social networks in the ﬁeld of sport to aid city management. As the novelty of this research, a systematic method is described to know the popular areas for sport and how the management of this knowledge enables the decision-making process of urban planning. Some case studies of useful actions to make inclusive cities for sport are described and the beneﬁts of making sustainable cities are discussed.


Introduction
Information and data have become a new working tools in the area of informational urbanism. From the access to information emerges the new urban paradigm that spreads to other disciplines such as cybernetics, information theory, self-organization, or systems theory, giving rise to a new urban model based on flexibility, uncertainty, and open and self-organized systems. The incorporation of these concepts into the field of urban planning is currently a process with great development potential. The traditional tools urgently need to be complemented by new tools based on information, which help to understand the increasing complexity of cities and their continuous evolution and transformation.
Thus, we are witnessing a slow reformulation of the urban planning paradigm [1,2]. The image of urban planning has gone from being static to a reality in motion, where the environment and the citizens themselves in continuous evolution are important sources of data, constantly providing relevant information for better urban planning, adapted to the real changing needs of the city, and the real requirements and preferences of citizens. To this end, the inference of information on city services usage and citizens habits is of great help to design smart urban planning actions and to improve city management [3].
The development of new Information and Communication Technologies (ICT) has led to major changes in society in recent times. Today, the proliferation of smart devices and mobile communication in the hands of users has enabled the creation of new applications and services aimed at improving the lives of citizens. This development is altering people's communication habits, their relationship with

Analysis of Social Network Sites for Informational Urbanism
In the area of informational urbanism, public administrations are also very interested in obtaining citizens' preferences and opinions about the city. In this way, the citizens' participation in public decision-making processes and governmental activities becomes possible because citizens can now post opinions and requirements through social networks [38].
However, the role of social networks is still an open issue for smart city purposes [39]. Big data technologies have generated new challenges in the area of analysis of social networks. These include how data can be processed and used to acquire valuable knowledge on citizens and city operation. New proposals and frameworks are appearing for analyzing SNSs in order to obtain valuable information for city managers [40,41]. In this line, big data analytics enables governments to build prediction models, to discover behavior patterns, and to assess citizen satisfaction [42], and also for advancing urban sustainability research and planning [43].
Some of the recent research generally aims to understand the link between people and places, and the dynamics of using the urban spaces, that is, to identify which places in the city are preferred, used, and livable [44,45]. There is some empirical research in relation to how the use of social networks might relate to citizens' behavior. These studies propose different methodologies to generate this information. For example, the work conducted by Martí et al. [46] aimed to identify successful public areas in the city through the location-based application "Foursquare". This is a SNS that enriches consumer experiences through a deep understanding of the location of the consumer. Other proposals are focused on discovering popular tourist attractions within the urban areas through geo-tagged images posted in Flickr [47] or Panoramio [48]. These platforms are SNSs where users can share, organize, and find multimedia content composed mainly of pictures [49,50].
One of the most analysed platforms is Twitter, due to the large amount of data produced daily by messages from its users. For example, it is used to depict urban boundaries with geo-located messages [51]; to analyze the relationships between factors affecting human outdoor activity in cities, such as weather conditions and traffic congestion [52]; to enrich sensor data for environmental monitoring with those generated by citizens exploiting social network paradigm [53]; to infer coordination patters among population in a nationwide social system [54]; or to obtain socio-spatial Sustainability 2018, 10, 4732 5 of 19 relations in the city by analyzing the everyday activities of different groups. This SNS has been also used to analyze the network of different social issues, such as opinion propagation [55], urban emotions [56,57], and even human sentiments from social messages posted by users [58].
Other studies focus on how the visualization of social network data can be used to explore the relationship between citizens' movements and activity distributions. For example, the work by Zeng et al. [59] identifies some points of interest throughout the city where a high density occurs; and the research conducted by Wu et al. [60] proposed a graphical representation to characterize the spatial and temporal mobility of the citizens.
In the case of social networks for sport, there are recent initiatives that study how this data can be exploited to make better cities [34,[61][62][63]. These analyses are mainly focused on taking advantage of the available georeferenced-data taken by the citizens' GPS devices during their sport activity and voluntarily uploaded to SNSs. These works are focused on cycling activity but not on pedestrian sports. The outcomes include some information of interest about the use of the city's infrastructure, such as origin and destination areas of the city, popular or avoided routes, or intersection wait times.
However, much remains to be done. Firstly, to transform this information into useful knowledge that improves urban planning processes; and secondly, to provide urban planners with new planning tools.
On the one hand, from the continuous interaction with the environment and the users of the city, a new understanding of urban capacities and opportunities emerges that makes a new urbanism possible that is more human and flexible, where the citizen is a participant and not a mere observer [64]. On the other hand, it is in this context of the new urban model based on the paradigm of smart cities where it is necessary to reformulate the paradigm of urban planning, which necessarily involves considering people at the centre of planning and which requires new tools to be put into effect [65,66].
Therefore, the latest ICTs and SNSs have transformed the traditional meaning of citizen participation. This new understanding of citizen participation has important implications for the planning and design of cities of the future. City planning has gone from being the responsibility of planners to representing a collective challenge which involves both governments and citizens [67,68].

Findings
After reviewing the main related works, we can draw the following issues that justify and summarize our contributions in this field:

1.
Informational urbanism needs to be fed by valuable knowledge to be useful for designing smart urban planning actions. Big data technology and the IoT play a vital role in providing it, but they need to integrate different data sources and have deployment costs.

2.
The analysis of SNSs is a growing research discipline that has important implications in many areas of society. This analysis can be done from a human relation point of view, or from a content perspective. As a result, valuable information of the preferences, habits, and behaviors of citizens can be obtained.

3.
Using data from SNSs opens new possibilities to identify the real uses of urban spaces. This information contributes to the construction of the informational urbanism concept and opens new management possibilities to perform urban planning actions taking into account the dynamics of the city.
Based on the above, this work identifies two research gaps: first, to find out if valuable knowledge for pedestrian urban planning can be also obtained from data of SNSs, and secondly, how these data can be used to derive urban actions to integrate sport within the city.
The work described in this paper addresses the abovementioned two points by developing a method for analyzing the data from SNSs for sport. It aims to demonstrate the value added by knowledge generated by these SNSs which enables the design of citizen-centric policies for smart urban planning. In addition to the results of other works in this area, the step forward of this research lies in proposing specific urban planning actions as an example of the progress in making more inclusive cities.

Analysis of Social Networking Services for Sport
Recently, the news headlines have informed people that American soldiers and their secret bases around the world were revealed due to a sport application [69]. The owner of this App has published a heat map with all its users' activities, including military who use this 'App' for sport and training [70]. The map also shows the intensity of the movements. It is, according to its designers of the 'App', "a live view of worldwide network of athletes.
New Social Media are the communication channel of the new generations, especially those who use the internet as a source of information [71]. Among the many SNSs for sport, this work has explored a variety of sites with the aim of learning about their diversity and the variability of the information available. Table 1 describes some of most common SNSs for sport. Table 1. Social Networks Sites for Sport Activities.

Social Network Web Site
Sustainability 2018, 10, x FOR PEER REVIEW 6 of 20 lies in proposing specific urban planning actions as an example of the progress in making more inclusive cities.

Analysis of Social Networking Services for Sport
Recently, the news headlines have informed people that American soldiers and their secret bases around the world were revealed due to a sport application [69]. The owner of this App has published a heat map with all its users' activities, including military who use this 'App' for sport and training [70]. The map also shows the intensity of the movements. It is, according to its designers of the 'App', "a live view of worldwide network of athletes.
New Social Media are the communication channel of the new generations, especially those who use the internet as a source of information [71]. Among the many SNSs for sport, this work has explored a variety of sites with the aim of learning about their diversity and the variability of the information available. Table 1 describes some of most common SNSs for sport. lies in proposing specific urban planning actions as an example of the progress in making more inclusive cities.

Analysis of Social Networking Services for Sport
Recently, the news headlines have informed people that American soldiers and their secret bases around the world were revealed due to a sport application [69]. The owner of this App has published a heat map with all its users' activities, including military who use this 'App' for sport and training [70]. The map also shows the intensity of the movements. It is, according to its designers of the 'App', "a live view of worldwide network of athletes.
New Social Media are the communication channel of the new generations, especially those who use the internet as a source of information [71]. Among the many SNSs for sport, this work has explored a variety of sites with the aim of learning about their diversity and the variability of the information available. Table 1 describes some of most common SNSs for sport. On these platforms, users provide information on the development of their activity and they post data on scores, times, and routes where they do their sport. Data on these aspects are introduced by users themselves on a voluntary basis with the aim of sharing their experiences and comparing their marks with other users.
The process of data generation and communication to the SNS is usually done automatically through the users' mobile devices, such as smart watches, phones, and other wearable devices with Global Positioning System (GPS) functionality. After that, the route of the sport activity made by the user can be drawn easily on a map.

Data Visualization
https://www.strava.com/ Social network to share activities with a broad social community of registered users Sustainability 2018, 10, x FOR PEER REVIEW 6 of 20 lies in proposing specific urban planning actions as an example of the progress in making more inclusive cities.

Analysis of Social Networking Services for Sport
Recently, the news headlines have informed people that American soldiers and their secret bases around the world were revealed due to a sport application [69]. The owner of this App has published a heat map with all its users' activities, including military who use this 'App' for sport and training [70]. The map also shows the intensity of the movements. It is, according to its designers of the 'App', "a live view of worldwide network of athletes.
New Social Media are the communication channel of the new generations, especially those who use the internet as a source of information [71]. Among the many SNSs for sport, this work has explored a variety of sites with the aim of learning about their diversity and the variability of the information available. Table 1 describes some of most common SNSs for sport. On these platforms, users provide information on the development of their activity and they post data on scores, times, and routes where they do their sport. Data on these aspects are introduced by users themselves on a voluntary basis with the aim of sharing their experiences and comparing their marks with other users.
The process of data generation and communication to the SNS is usually done automatically through the users' mobile devices, such as smart watches, phones, and other wearable devices with Global Positioning System (GPS) functionality. After that, the route of the sport activity made by the user can be drawn easily on a map. lies in proposing specific urban planning actions as an example of the progress in making more inclusive cities.

Analysis of Social Networking Services for Sport
Recently, the news headlines have informed people that American soldiers and their secret bases around the world were revealed due to a sport application [69]. The owner of this App has published a heat map with all its users' activities, including military who use this 'App' for sport and training [70]. The map also shows the intensity of the movements. It is, according to its designers of the 'App', "a live view of worldwide network of athletes.
New Social Media are the communication channel of the new generations, especially those who use the internet as a source of information [71]. Among the many SNSs for sport, this work has explored a variety of sites with the aim of learning about their diversity and the variability of the information available. Table 1 describes some of most common SNSs for sport.

Social Network
Web Site http://www.atletosports.com/ This is a is a sports social network to connects athletes with each other to facilitate games or other athletic activities https://www.strava.com/ Social network to share activities with a broad social community of registered users http://www.mapmyrun.com/ Social network to share the sports activity linked to the sports products company Under Armor https://www.runtastic.com/ Social network to track and manage health and fitness data https://runkeeper.com/ It is a top social network that helps people get out the door and stick with running. https://www.sports-tracker.com/ Social network where sports enthusiasts can access to public workouts, every day https://www.gotzam.com/ Social network to share sport events and activities among users On these platforms, users provide information on the development of their activity and they post data on scores, times, and routes where they do their sport. Data on these aspects are introduced by users themselves on a voluntary basis with the aim of sharing their experiences and comparing their marks with other users.
The process of data generation and communication to the SNS is usually done automatically through the users' mobile devices, such as smart watches, phones, and other wearable devices with Global Positioning System (GPS) functionality. After that, the route of the sport activity made by the user can be drawn easily on a map.

Data Visualization
https://www.runtastic.com/ Social network to track and manage health and fitness data Sustainability 2018, 10, x FOR PEER REVIEW 6 of 20 lies in proposing specific urban planning actions as an example of the progress in making more inclusive cities.

Analysis of Social Networking Services for Sport
Recently, the news headlines have informed people that American soldiers and their secret bases around the world were revealed due to a sport application [69]. The owner of this App has published a heat map with all its users' activities, including military who use this 'App' for sport and training [70]. The map also shows the intensity of the movements. It is, according to its designers of the 'App', "a live view of worldwide network of athletes.
New Social Media are the communication channel of the new generations, especially those who use the internet as a source of information [71]. Among the many SNSs for sport, this work has explored a variety of sites with the aim of learning about their diversity and the variability of the information available. Table 1 describes some of most common SNSs for sport.

Social Network
Web Site http://www.atletosports.com/ This is a is a sports social network to connects athletes with each other to facilitate games or other athletic activities https://www.strava.com/ Social network to share activities with a broad social community of registered users http://www.mapmyrun.com/ Social network to share the sports activity linked to the sports products company Under Armor https://www.runtastic.com/ Social network to track and manage health and fitness data https://runkeeper.com/ It is a top social network that helps people get out the door and stick with running. https://www.sports-tracker.com/ Social network where sports enthusiasts can access to public workouts, every day https://www.gotzam.com/ Social network to share sport events and activities among users On these platforms, users provide information on the development of their activity and they post data on scores, times, and routes where they do their sport. Data on these aspects are introduced by users themselves on a voluntary basis with the aim of sharing their experiences and comparing their marks with other users.
The process of data generation and communication to the SNS is usually done automatically through the users' mobile devices, such as smart watches, phones, and other wearable devices with Global Positioning System (GPS) functionality. After that, the route of the sport activity made by the user can be drawn easily on a map.

Data Visualization
https://runkeeper.com/ It is a top social network that helps people get out the door and stick with running.
Sustainability 2018, 10, x FOR PEER REVIEW 6 of 20 lies in proposing specific urban planning actions as an example of the progress in making more inclusive cities.

Analysis of Social Networking Services for Sport
Recently, the news headlines have informed people that American soldiers and their secret bases around the world were revealed due to a sport application [69]. The owner of this App has published a heat map with all its users' activities, including military who use this 'App' for sport and training [70]. The map also shows the intensity of the movements. It is, according to its designers of the 'App', "a live view of worldwide network of athletes.
New Social Media are the communication channel of the new generations, especially those who use the internet as a source of information [71]. Among the many SNSs for sport, this work has explored a variety of sites with the aim of learning about their diversity and the variability of the information available. Table 1 describes some of most common SNSs for sport.
web-based interface for a desktop browser or through a mobile device application for a smartwatch or smartphone. The interfaces of these applications are very useful and intuitive, and include searching tools to find the sport activity, for example, time duration, length, type of sport, city, region or country, etc. Furthermore, they usually provide the best marks and the users that have followed each race. In addition, they offer premium services for registered users that include additional features such as the creation of training plans, advanced sports performance statistics, health guides, and access to personal trainers. Figure 1 shows an example of the interface centered on the city of Alicante (Spain) of one of the most popular SNSs studied. All the sites analyzed provide information on the routes followed by users in the practice of their sport for each city where the social network is used. These routes can be viewed directly through a web-based interface for a desktop browser or through a mobile device application for a smartwatch or smartphone. The interfaces of these applications are very useful and intuitive, and include searching tools to find the sport activity, for example, time duration, length, type of sport, city, region or country, etc. Furthermore, they usually provide the best marks and the users that have followed each race. In addition, they offer premium services for registered users that include additional features such as the creation of training plans, advanced sports performance statistics, health guides, and access to personal trainers. Figure 1 shows an example of the interface centered on the city of Alicante (Spain) of one of the most popular SNSs studied. A set of routes drawn on the map can be observed in Figure 1. Each of these routes has been covered by at least one user. For each of them, a lot of information can be obtained. This detail includes, for example, distance travelled, time spent, average slope, and estimated calories burned. Figure 2 shows the details of a route provided by one of the most popular social networks. As shown, this example route has been run by 3973 citizens doing sports in the city. Using the search tools of the SNS studied, it is possible to identify the existing routes in a city or geographical area. A set of routes drawn on the map can be observed in Figure 1. Each of these routes has been covered by at least one user. For each of them, a lot of information can be obtained. This detail includes, for example, distance travelled, time spent, average slope, and estimated calories burned. Figure 2 shows the details of a route provided by one of the most popular social networks. As shown, this example route has been run by 3973 citizens doing sports in the city. Using the search tools of the SNS studied, it is possible to identify the existing routes in a city or geographical area.
In addition, the data can be filtered by dates in order to retrieve information on when and where the sport practice is done. Thus, valuable information for urban planning can be obtained from the knowledge on where and when each sport is actually performed by citizens.
Apart from the web platforms of these SNSs, Geographic Information Systems can be used for applying advanced visualization techniques and further analysis. In addition, the data can be filtered by dates in order to retrieve information on when and where the sport practice is done. Thus, valuable information for urban planning can be obtained from the knowledge on where and when each sport is actually performed by citizens.
Apart from the web platforms of these SNSs, Geographic Information Systems can be used for applying advanced visualization techniques and further analysis.

Data Download
The routes stored in the sport SNSs are generated by the users thought their mobile devices or wearables when they are practicing sport. Usually, these devices are equipped with a GPS device which tracks the sport activity. Once the sport activity has finished, the mobile devices or wearables upload the activity features to the SNSs by themselves. Millions of GPS-tracked activities are uploaded to these platforms every week [34].
These routes can be easily downloaded from the platform for analysis. There are several commonly used structured geopositioning formats in which the routes can be codified for further processing. These formats are generally based on the XML schema. Table 2 lists the most common geopositioning formats.

Data Download
The routes stored in the sport SNSs are generated by the users thought their mobile devices or wearables when they are practicing sport. Usually, these devices are equipped with a GPS device which tracks the sport activity. Once the sport activity has finished, the mobile devices or wearables upload the activity features to the SNSs by themselves. Millions of GPS-tracked activities are uploaded to these platforms every week [34].
These routes can be easily downloaded from the platform for analysis. There are several commonly used structured geopositioning formats in which the routes can be codified for further processing. These formats are generally based on the XML schema. Table 2 lists the most common geopositioning formats. Designed by Open Geospatial Consortium for representing geographic information (http://www.opengeospatial.org/standards/gml) As an example of content structure, Figure 3 illustrates the path shown in Figure 2 both in KML and GPX formats. As shown in Figure 3, these file formats represent each route by means of the set of individual points that compose it. Each point is a special location defined by a single geodetic longitude, geodetic latitude, and (optional) altitude coordinate tuple. Other information such as the device used to register the route is stored. The proliferation of wearables and smart watches has definitely contributed to promoting the social interaction of athletes.
As an example of content structure, Figure 3 illustrates the path shown in Figure 2 both in KML and GPX formats. As shown in Figure 3, these file formats represent each route by means of the set of individual points that compose it. Each point is a special location defined by a single geodetic longitude, geodetic latitude, and (optional) altitude coordinate tuple. Other information such as the device used to register the route is stored. The proliferation of wearables and smart watches has definitely contributed to promoting the social interaction of athletes.
In order to obtain useful information in an effective way, it is necessary to perform an automated analysis of a route's information. The use of massive analysis techniques is required to download the routes and process them. The social networks studied provide computer tools that allow applications based on the information they contain to be developed. To this end, they have a specific Application Programming Interface (API) to access the services they offer, such as: Strava (https://developers.strava.com/); Mapmyrun (https://developer.underarmour.com/), and Runtastic (https://github.com/runtastic). The first two tools also offer a RESTful web service delivery architecture with structured data exchange communication in JavaScript Object Notation (JSON).  The social network Strava provides a service for data aggregation oriented to departments of transportation and city planning groups (https://metro.strava.com/). In order to maintain the privacy of users, data downloaded from SNS are anonymized by removing all personal data of each route. Among the operations they provide is the query of available route sets according to established search criteria, including the geolocation of the area of interest and the radius of action. In this way, collections of routes can be obtained for mass analysis of any given city. In order to obtain useful information in an effective way, it is necessary to perform an automated analysis of a route's information. The use of massive analysis techniques is required to download the routes and process them. The social networks studied provide computer tools that allow applications based on the information they contain to be developed. To this end, they have a specific Application Programming Interface (API) to access the services they offer, such as: Strava (https://developers.strava.com/); Mapmyrun (https://developer.underarmour.com/), and Runtastic (https://github.com/runtastic). The first two tools also offer a RESTful web service delivery architecture with structured data exchange communication in JavaScript Object Notation (JSON).
The social network Strava provides a service for data aggregation oriented to departments of transportation and city planning groups (https://metro.strava.com/). In order to maintain the privacy of users, data downloaded from SNS are anonymized by removing all personal data of each route. Among the operations they provide is the query of available route sets according to established search criteria, including the geolocation of the area of interest and the radius of action. In this way, collections of routes can be obtained for mass analysis of any given city.
The analysis of this information makes it possible to determine the date, recording time, and the places in the city where each activity has been carried out. This provides accurate information on citizens' actual sports habits and their evolution over time, and therefore is a useful tool for knowledge generation about the real uses of urban spaces.

Smart Urban Planning
New free ways of using public space are constantly emerging in cities at the initiative of citizens without having been previously thought or planned. These are new uses or new ways of understanding public space that are quickly disseminated and shared among the users of a city and among different cities. A good representative example of the current situation is the use of urban public space for sports-related activities. Increasingly, citizens share information on social networks about new routes or places where, due to their appropriate characteristics, they choose to carry out their daily sporting activity. It is evident that this information on the use that citizens make of public space, on their needs and preferences, understanding the fact of voluntarily sharing this information in SNSs as a current form of public participation in the organization of the city, cannot be left out of the decision-making process about the right urban planning actions to design smart today's cities.
The research question can be defined in general terms as how these technological advances make it possible to incorporate this information into the planning process to recognize the capacity and right of citizens to make decisions about the city. In this sense, the management of this knowledge aids the decision-making processes of urban planning.
In this work, we have focused on studying routes of citizens that only include pedestrian sport activities such as walking, hiking, and running. Other sports practiced in city environments, such as cycling or skating, can also be analyzed in the same way.

Methodology
In this section, a case study is conducted for the city of Alicante. Alicante is a Spanish city of medium size (coordinates: 38 • 20 43" N 0 • 28 59" W; area: 201.27 km 2 ; population: 328,648) located at the east of the country on the Mediterranean coast. This application scenario has good potential for analysis since this is a very touristic place, visited by around 2.2 million tourists per year [72].
The methodology used for this scenario is empirical, and it is based on the results of some case studies. A methodology based on analysis of case studies can be appropriate when researching "how" or "why" questions about contemporary phenomena over which the investigator has little or no control [73,74]. This is especially suitable for studies in real-life contexts where this type of analysis can provide better understanding of the context where the study is developed, including city and regional planning research [74]. From the case study strategy, new hypotheses and research questions can arise from the results.
The case studies described in this work are not the full set of issues and proposals, indeed, we have found some other issues in the city regarding where and when usually citizens do sport. Nevertheless, we have carried out an information-oriented selection of the study cases [75]. We look for paradigmatic cases for our context, that is, we have carefully chosen the study cases to be representative of what may be found throughout the city, and to consider them as illustrative examples of the decisions and urban planning actions that can be carried out for addressing them.
The method for obtaining the common places of the city where sport is practiced is described by the following steps: In first place, the city area is selected. To this end, the web-based interfaces of the SNSs are visited to observe the aggregated data and visualize spatial distributions of routes. This information allows one to know at first glance the sport habits, atypical locations, or frequent places and streets where sport is practiced. From this observation, the interest area of the city is selected for route downloading. In this research, we have mainly focused on the coast side of the city, where the seafront promenade and the beach are, because these are very touristic places. This is a little part of the city, but it is a representative sample of the results of the analysis. For this area, we have retrieved the routes from the three most used SNSs: Strava, Mapmyrun, and Runtastic. As mentioned in the previous section, the routes are codified in structured data formats such as those depicted in Figure 3.
Secondly, the places of the city under study are characterized. That is, the geo-codification of each place, such as the street, square, promenade, or road of the city. This codification consists of representing these places by a polygon with georeferenced vertices. The places can be defined totally or partially according to the required precision. For example, a long street can be divided into several pieces.
Finally, identification of the places through which the sport routes pass is conducted. This procedure is made by comparing each route point-by-point with the characterized places of the previous step.
For example, Figure 4 shows an overview of this procedure for a square of the city. This comparison can extract the places where routes pass.
The methodology used for this scenario is empirical, and it is based on the results of some case studies. A methodology based on analysis of case studies can be appropriate when researching "how" or "why" questions about contemporary phenomena over which the investigator has little or no control [73,74]. This is especially suitable for studies in real-life contexts where this type of analysis can provide better understanding of the context where the study is developed, including city and regional planning research [74]. From the case study strategy, new hypotheses and research questions can arise from the results.
The case studies described in this work are not the full set of issues and proposals, indeed, we have found some other issues in the city regarding where and when usually citizens do sport. Nevertheless, we have carried out an information-oriented selection of the study cases [75]. We look for paradigmatic cases for our context, that is, we have carefully chosen the study cases to be representative of what may be found throughout the city, and to consider them as illustrative examples of the decisions and urban planning actions that can be carried out for addressing them.
The method for obtaining the common places of the city where sport is practiced is described by the following steps: In first place, the city area is selected. To this end, the web-based interfaces of the SNSs are visited to observe the aggregated data and visualize spatial distributions of routes. This information allows one to know at first glance the sport habits, atypical locations, or frequent places and streets where sport is practiced. From this observation, the interest area of the city is selected for route downloading. In this research, we have mainly focused on the coast side of the city, where the seafront promenade and the beach are, because these are very touristic places. This is a little part of the city, but it is a representative sample of the results of the analysis. For this area, we have retrieved the routes from the three most used SNSs: Strava, Mapmyrun, and Runtastic. As mentioned in the previous section, the routes are codified in structured data formats such as those depicted in Figure 3.
Secondly, the places of the city under study are characterized. That is, the geo-codification of each place, such as the street, square, promenade, or road of the city. This codification consists of representing these places by a polygon with georeferenced vertices. The places can be defined totally or partially according to the required precision. For example, a long street can be divided into several pieces.
Finally, identification of the places through which the sport routes pass is conducted. This procedure is made by comparing each route point-by-point with the characterized places of the previous step.
For example, Figure 4 shows an overview of this procedure for a square of the city. This comparison can extract the places where routes pass.  The list of the common places frequented by citizens when they practice sport is generated as a result of the comparison process on a set of selected routes. Figure 5 illustrates this process for an example route.
Having information about which places are preferred and used by citizens to practice sport in the city is an essential tool for city managers. In this sense, the analysis of the routes stored in the SNSs allows us to identify the urban areas and infrastructures where the users' sports activities are practiced. The list of the common places frequented by citizens when they practice sport is generated as a result of the comparison process on a set of selected routes. Figure 5 illustrates this process for an example route. Having information about which places are preferred and used by citizens to practice sport in the city is an essential tool for city managers. In this sense, the analysis of the routes stored in the SNSs allows us to identify the urban areas and infrastructures where the users' sports activities are practiced.

Analysis and Proposals
The generation of knowledge about the city is the result of this analysis step. The analytical technique used consists of building an explanation of each case [74]. That is, to describe the issues from an urban planning point of view that cause unsuitable conditions for doing pedestrian sport and potential actions to solve them. In this sense, this analysis is mainly explanatory.
As mentioned, the search through the web interface of the SNSs provides us with the map of where the routes occur. Figure 6 illustrates several routes for the common transit areas observed. A detailed search shows that these are popular places for running in Alicante. Figure 7 shows the high density of routes found in these areas.

Analysis and Proposals
The generation of knowledge about the city is the result of this analysis step. The analytical technique used consists of building an explanation of each case [74]. That is, to describe the issues from an urban planning point of view that cause unsuitable conditions for doing pedestrian sport and potential actions to solve them. In this sense, this analysis is mainly explanatory.
As mentioned, the search through the web interface of the SNSs provides us with the map of where the routes occur. Figure 6 illustrates several routes for the common transit areas observed. A detailed search shows that these are popular places for running in Alicante. Figure 7 shows the high density of routes found in these areas.
It seems that it is more fun to run around the city than in sport centers, and after a preliminary analysis, the coast side of the city is one of the more popular areas. This preference creates the challenge to make inclusive cities where the sport activities can be part of daily city life. That is, runners can be integrated with pedestrians. A priori, this seems difficult when there are many crossroads or people on the streets. However, addressing this challenge could encourage more people to do sport and to make a better use of public spaces.
Some ideas based on the following examples can be proposed for decision-making processes of urban planning to make more inclusive and accessible cities for sport. The study cases have been illustrated with pictures from Google Maps and Street View applications. For the areas of the city under study, and based on the effective routes acquired from social networks, the following issues and proposals for addressing them are pointed out: (i) Address the unexpected consequences in the operation of urban environments. There are many inefficiencies in the operation of urban infrastructure that make it difficult to do sport and lower the city's accessibility in general [76]. For example, the installation of public furniture, street lamps or traffic lights in the sidewalks. In the analyzed area there are many obstacles of this kind. For example, in Figure 8, besides the palm trees, there are many bins and lamps in the middle of the sidewalk. These obstacles might be removed or shifted to one side. In addition, some other actions, such as making broader sidewalks, should be studied, even if it means reducing the space for vehicles. It seems that it is more fun to run around the city than in sport centers, and after a preliminary analysis, the coast side of the city is one of the more popular areas. This preference creates the challenge to make inclusive cities where the sport activities can be part of daily city life. That is, runners can be integrated with pedestrians. A priori, this seems difficult when there are many crossroads or people on the streets. However, addressing this challenge could encourage more people to do sport and to make a better use of public spaces.  It seems that it is more fun to run around the city than in sport centers, and after a preliminary analysis, the coast side of the city is one of the more popular areas. This preference creates the challenge to make inclusive cities where the sport activities can be part of daily city life. That is, runners can be integrated with pedestrians. A priori, this seems difficult when there are many crossroads or people on the streets. However, addressing this challenge could encourage more people to do sport and to make a better use of public spaces.  lower the city's accessibility in general [76]. For example, the installation of public furniture, street lamps or traffic lights in the sidewalks. In the analyzed area there are many obstacles of this kind. For example, in Figure 8, besides the palm trees, there are many bins and lamps in the middle of the sidewalk. These obstacles might be removed or shifted to one side. In addition, some other actions, such as making broader sidewalks, should be studied, even if it means reducing the space for vehicles. (ii) One issue for runners is having to stop at traffic lights or crossroads frequently. Therefore, city intersections could be minimized where urban sport is practiced. For example, by designing overpasses and underpasses to the road. Within the area analyzed, there are two conflictive crossroads, for both runners and pedestrians. Figure 9a shows a widely used crossroad between 'Explanada' and Seafront promenade where it could be beneficial to consider an overpass. Indeed, this solution has been already implemented 558 m further along in the same road (Figure 9b). (iii) Special lanes could be waymarked to delimit the space for runners, similar to what is done for cyclists. In addition, other marks could be included, such as distance indicators or alternative paths. Figure 10 shows an example that could be implemented to this end. These special lanes could be available for sport for only some hours a day, according to the habits of runners or avoiding the (ii) One issue for runners is having to stop at traffic lights or crossroads frequently. Therefore, city intersections could be minimized where urban sport is practiced. For example, by designing overpasses and underpasses to the road. Within the area analyzed, there are two conflictive crossroads, for both runners and pedestrians. Figure 9a shows a widely used crossroad between 'Explanada' and Seafront promenade where it could be beneficial to consider an overpass. Indeed, this solution has been already implemented 558 m further along in the same road (Figure 9b). lower the city's accessibility in general [76]. For example, the installation of public furniture, street lamps or traffic lights in the sidewalks. In the analyzed area there are many obstacles of this kind. For example, in Figure 8, besides the palm trees, there are many bins and lamps in the middle of the sidewalk. These obstacles might be removed or shifted to one side. In addition, some other actions, such as making broader sidewalks, should be studied, even if it means reducing the space for vehicles. (ii) One issue for runners is having to stop at traffic lights or crossroads frequently. Therefore, city intersections could be minimized where urban sport is practiced. For example, by designing overpasses and underpasses to the road. Within the area analyzed, there are two conflictive crossroads, for both runners and pedestrians. Figure 9a shows a widely used crossroad between 'Explanada' and Seafront promenade where it could be beneficial to consider an overpass. Indeed, this solution has been already implemented 558 m further along in the same road (Figure 9b). (iii) Special lanes could be waymarked to delimit the space for runners, similar to what is done for cyclists. In addition, other marks could be included, such as distance indicators or alternative paths. Figure 10 shows an example that could be implemented to this end. These special lanes could be available for sport for only some hours a day, according to the habits of runners or avoiding the (iii) Special lanes could be waymarked to delimit the space for runners, similar to what is done for cyclists. In addition, other marks could be included, such as distance indicators or alternative paths. Figure 10 shows an example that could be implemented to this end. These special lanes could be available for sport for only some hours a day, according to the habits of runners or avoiding the times with the most pedestrians. In this case, the social networks provide useful information to make decisions on this issue.
Two major lifestyle components are physical activity and nutrition [77]. Moreover, the connection between doing sport and living a healthy lifestyle is unquestionable. In this sense, some of the behavioral indicators used for measuring the quality of life of the city include participation in sports and the amount of walking and bicycling activities in the city [78].
Traditionally, city managers build sports facilities in the city (sport centres, running tracks, etc.) to promote sport and healthy lifestyles. However, transportation for exercise is becoming less common, especially among young people [79]. New habits of urban life suggest that many citizens do sport within the city using the standard infrastructure. Knowledge generated from sport social networks not only verifies this trend, it also provides information of when and where sport is practiced. Hence, carrying out urban planning actions for making inclusive sport activities in the city could increase the quality of life of citizens, and enhance their interest in sustainable forms of movement in the city. times with the most pedestrians. In this case, the social networks provide useful information to make decisions on this issue. Two major lifestyle components are physical activity and nutrition [77]. Moreover, the connection between doing sport and living a healthy lifestyle is unquestionable. In this sense, some of the behavioral indicators used for measuring the quality of life of the city include participation in sports and the amount of walking and bicycling activities in the city [78].
Traditionally, city managers build sports facilities in the city (sport centres, running tracks, etc.) to promote sport and healthy lifestyles. However, transportation for exercise is becoming less common, especially among young people [79]. New habits of urban life suggest that many citizens do sport within the city using the standard infrastructure. Knowledge generated from sport social networks not only verifies this trend, it also provides information of when and where sport is practiced. Hence, carrying out urban planning actions for making inclusive sport activities in the city could increase the quality of life of citizens, and enhance their interest in sustainable forms of movement in the city.
In addition, making suitable infrastructure for sport provides other kinds of social benefit for the city. Social interactions are enhanced by sporting activities. In this way, urban spaces become a new method for creating possibilities of interaction among citizens [80].
Another issue is the management of this knowledge, since social networks are dynamic systems. This feature could also enable agile urban planning and policy-making.

Conclusions
Doing outdoor physical activity around cities is a new trend of urban citizens. There are many synergies between physical activity and health. Policy makers and urban planners should take this into account in order to promote sport activities and make more inclusive and sustainable cities.
A set of measures consists of adapting city infrastructure to the citizens' needs. To this end, there are new ICT tools able to aid in urban decision-making. These tools are part of the knowledge-related infrastructure block of the conceptual framework of informational urbanism [16]. In this way, social networks for sport provide useful information about how city infrastructure is used, what actions are required, and where they are needed. Through all these networks, valuable knowledge can be obtained by applying simple techniques to the data voluntarily generated by users.
In this work the most relevant SNSs for sport have been studied in order to assess the suitability of urban infrastructure for pedestrian sport activities. By analyzing the data from SNSs, we can infer the popular areas of the city for doing sport. As a result, we have found that sport is practiced more within the city than in sport-dedicated infrastructure, such as sport centers, athletics tracks, or sports halls.
This knowledge is very important to improve the urban planning and design process of the city. In response to the questions raised in this work, we have identified some typical issues along the In addition, making suitable infrastructure for sport provides other kinds of social benefit for the city. Social interactions are enhanced by sporting activities. In this way, urban spaces become a new method for creating possibilities of interaction among citizens [80].
Another issue is the management of this knowledge, since social networks are dynamic systems. This feature could also enable agile urban planning and policy-making.

Conclusions
Doing outdoor physical activity around cities is a new trend of urban citizens. There are many synergies between physical activity and health. Policy makers and urban planners should take this into account in order to promote sport activities and make more inclusive and sustainable cities.
A set of measures consists of adapting city infrastructure to the citizens' needs. To this end, there are new ICT tools able to aid in urban decision-making. These tools are part of the knowledge-related infrastructure block of the conceptual framework of informational urbanism [16]. In this way, social networks for sport provide useful information about how city infrastructure is used, what actions are required, and where they are needed. Through all these networks, valuable knowledge can be obtained by applying simple techniques to the data voluntarily generated by users.
In this work the most relevant SNSs for sport have been studied in order to assess the suitability of urban infrastructure for pedestrian sport activities. By analyzing the data from SNSs, we can infer the popular areas of the city for doing sport. As a result, we have found that sport is practiced more within the city than in sport-dedicated infrastructure, such as sport centers, athletics tracks, or sports halls.
This knowledge is very important to improve the urban planning and design process of the city. In response to the questions raised in this work, we have identified some typical issues along the popular areas of the Alicante city where citizens frequently do pedestrian sport. Taking them as case studies, a proposal has been done for each of them in order to make the city more inclusive and to promote sport among the population.
The limitations of this study are common to other analyses of human preferences using data from social networks, that is, the representativeness of the sample. Not all citizens who do sport in the city are users of these SNSs. Nevertheless, these SNSs have a growing number of users and cover heterogeneous areas around the world. In addition, the described cases are not exhaustive, but they may be regarded as typical samples of how the information from SNSs can be used for improving the urban planning process for citizens. In this regard, the findings could rely too much on specific phenomena.
In the future, we plan to extend this study to the entire city of Alicante in order to further characterize sport-related issues. To this end, we will conduct a large-scale analysis of the urban physical activities stored in the Strava Metro information system. In addition, we plan to enhance the inference of the citizens' needs and urban requirements by applying advanced big-data techniques to the information processing.
Author Contributions: All authors were involved in the foundation items. All authors wrote the paper and read and approved the final manuscript.
Funding: This work has been funded by the Conselleria de Transparència, Responsabilitat Social, Participació i Cooperació may be regarded as typical samples of how the information from SNSs can be used for improving the urban planning process for citizens. In this regard, the findings could rely too much on specific phenomena.
In the future, we plan to extend this study to the entire city of Alicante in order to further characterize sport-related issues. To this end, we will conduct a large-scale analysis of the urban physical activities stored in the Strava Metro information system. In addition, we plan to enhance the inference of the citizens' needs and urban requirements by applying advanced big-data techniques to the information processing.
Author Contributions: All authors were involved in the foundation items. All authors wrote the paper and read and approved the final manuscript.
Funding: This work has been funded by the Conselleria de Transparència, Responsabilitat Social, Participació i Cooperació of the Generalitat Valenciana, Spain. The content of this publication is the exclusive responsibility of the University of Alicante and does not necessarily reflect the opinion of the Generalitat Valenciana.

Conflicts of Interest:
The authors declare no conflict of interest.