Tools and technologies for smart city development – responses

Information and communication technologies can be used to leverage the full potential of comparative analysis and modernizing policy making thereby increasing the effectiveness and efficiency of these policies. Policymaking play a vital role Bus and local train schedules in smart cities. Demand for these services surges multiple times a day and random times during a week, a month and a year. These are based on various factors such as local events, work hours, concerts etc. Due to the dynamic nature of this demand, the simulation model will enable the transportation department to predict demand and provide better service to the customers. I believe Argumentation tools and Big Data Analytics tools provide value to these organizations to leverage the full potential of technology. Argumentation tools provide visualize representation of complex arguments in the system such as large number of stakeholders to contribute creating arguments and suggestions which are turned into a graphical representation. Stakeholders such as the employees and the public need to be engaged using polling mechanisms to create a graphical representation of the requirement throughout the year and design policies around schedules based on these inputs. Tools such as Cohere, Argunet are open sources which are web-based argument framework based tools that provide a visual representation with the ability to modify argument structure and manipulate layouts. Big data analytics is a powerful tool which can use multiple data points that are defined across the system to generate a heat map of the current and future state of the system and dynamically increase or decrease the number of buses or trains to better serve the customer with the least wait time. There is a lot of data available such as the number of customers travelling at every point of the day, upcoming concerts or other events in the city, holiday information, public interests, social events etc. that can all be fed into the big data analytics tools to integrate, visualize, analyze and predict the requirements to better serve the customers by reducing their wait times by increasing the number of services available during rush hours and reducing the number of services and operation cost other times.

Importance of tools in policymaking In an organization, the development of the business always lies with the implementation of some techniques in the system that is actually related to making the policy in the system. The technologies that are seen to be used in the system certainly have some importance when defining the process in the system and identifying the process during the time of communication-related to the information is always important for making the policy. The techniques that are seen to be used by the organization in the system certainly have some important steps to follow during the time of developing a policy in the system (Furlan, Torresan, Ronco, Critto, Breil, Kontogianni & Marcomini, 2018). These steps are generally significant when it comes to recognizing the process in the system and the main thing before going to make any plan in the system, identification of those processes in the system is needed. It is also needed to be categorized in a proper manner and with the help of that, the work process of tools would be improved. There are some important tools that have3 been used by the organization for their different purposes and those tools actually work accordingly in the process with effecting any process in the system. Making any policy in the system always needed to make a plan properly and the significance of those tools could be found. Developing a policy for optimizing bus and local train The situation that has been discussed here is the issues faced by the passengers when they traveled through the bus and local trains. In the environment of SmartCity, making a proper policy is certainly needed for the betterment of the process in the system. The main and appropriate tools that would be productive for this situation for improving the techniques in the bus and scheduling the local trains in a better manner to reduce the energy and minimizing the wait times of the passengers are Visualization and Social network analysis tools (Janssen, Wimmer & Deljoo, 2015). These two tools would be productive and useful for the passengers of both vehicles to reduce the issues that they are actually facing during the time of their travel through both the vehicles. The importance of a Visualization tool could be seen during the time of managing the data in the system for the purpose of understanding the data in a better manner and the viewpoint is certainly seen to be meaningful with the context. It would certainly help the passengers to visualize the schedules sitting in their respective homes or other places without going to the station or bus stand to get the information. The process could be easily learned and visualize through the technique of visualization in the system. This would help the passenger to reduce their energy for not going anywhere and arrives from their respective homes as the schedule managed. The tool of Social network analysis would provide support to the passengers to get the news from social media and identifies the pattern through which the behaviors of the users could be able to predict in the system (Hagen, Keller, Yerden & Luna-Reyes, 2019). The wait time of the passengers related to the local trains could be reduced when the analysis of the network is done through social media in the system. It is important to know the patterns from which the work is seen to be done.

Optimizing Public Transport Schedules to Minimize Energy Use and Wait Times Public transport system plays an important role in any city to travel through it seamlessly with reduced individual effort and it also improves several other factors like congestion and the environment. The authorities of the public transport company must strive to improve policymaking by using tools to attain effective utilization of energy while increasing their capabilities of serving more individuals. E-participation is one of the categories that can be used to collect feedback and improve the schedules by simply enabling a click of the button for a more suitable schedule by everyone. For instance, by enabling a new option to “choose my schedule” can be included in the already existing “Ventra App” in Chicago to group the individuals and have a definitive schedule that would serve the maximum people and eliminating the less effective schedules thereby minimizing energy use. Coming to the passenger wait times, again e-participation can be an effective tool wherein an app that runs on web 2.0 and is build using android/ iOS can be used to record the arrivals of the passengers and align the schedules. Also, the opinion mining tools like RapidMiner can be used to collect the opinions of the users and classify them based on their intents/ opinions on the currents timings and then modifying the policies to reduce the wait times. These tools can collect data from all the variety of sources and then use machine learning approaches to derive an optimized schedule that improves the efficiency and thereby reducing the wait times.