LAUSR

Multimodal data modeling is fast growing area of research. It may used to combine the information from the different sources. The research interest in multimodal data modeling is increasingly attracting the attention in the field of transportation planning. In this study, multi-modal data is used to assess and design a socially efficient public transport bus route plan for the Allahabad city of Uttar Pradesh state, India. Data envelopment analysis (DEA) method is used for the efficiency assessment of existing 24 public transport bus routes by taking access point to locations of social facilities like as hospitals, shopping malls, colleges, coaching centers, schools, banks and the population, near to the particular route. Geographical Information System (GIS) technology is used for multimodal data modeling to design new more socially efficient routes for the existing roads of the city. DEAP Solver software is used for the evaluation of efficiency and rank for social priority routes and route number 15 and 24 are relative efficient route among the existing 24 routes. Finally, the social efficiency of existing public bus transport routes and newly designed routes are compared. We suggested ways to improve the performance of bus routes based on the social perspectives using multimodal data.