RETRACTED ARTICLE: Indian smart city ranking model using taxicab distance-based approach

Abstract

The smart urbanization is getting popular in international urban planning for the last decade. The smart city word is to combine information and communication technology to define smart living. A smart city has an infrastructure to provide life quality, a safe and clean environment to its citizens by smart technology. These days people want to live a smart life. So, the urban planner/researcher is evolving “smart city models” based on the following six dimensions, economy, environment, people, governance, mobility, and living. This model was developed based on “American” and “European” cities. In the Indian smart city development scheme taken by India in 2014 to urbanized 100 smart cities. So, the requirement to developed “Indian smart city model” arises. This paper used the “Indian smart city model” define with eight dimensions matching to cities of India. The model takes a smart data-driven decision based on 80 indicators of the city. The “Indian smart cities” are ranking according to the calculated distance of optimal indicators values. The Taxicab Distance-Based Approach (TDBA) is purposed to ranking the “Indian smart city.” The TDBA find the optimal solution on the bases of “Indian smart city” indicators multiple values. The approach calculates the optimal distance solution to find the best result. The result shows the ranking of “Indian smart cities” on the bases of a defined model using TDBA. The ranking gives a status of growth by comparing the cities’ rank. The cities can change and update their planning according to cities rank. The data gathering from different departments and surveys of the cities. This information used for evaluation of city rank using the TDBA approach. TDBA is a mathematical tool that has been used to aggregate and convert data into a standard form that is used to rank “Indian smart cities”. The result clarifies cities vision and makes a blueprint of the cities it wants to be in the future.