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.