Multimodal data modeling for efficiency assessment of social priority based urban bus route transportation system using GIS and data envelopment analysis

Multimodal data modeling for efficiency assessment of social priority based urban bus route... Multimed Tools Appl https://doi.org/10.1007/s11042-018-6147-6 Multimodal data modeling for efficiency assessment of social priority based urban bus route transportation system using GIS and data envelopment analysis 1 1 Pitam Singh & Ashish Kumar Singh & 2 3 Priyamvada Singh & Saru Kumari & Arun Kumar Sangaiah Received: 2 February 2018 /Revised: 22 April 2018 /Accepted: 15 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract 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 Infor- mation System (GIS) technology is used for multimodal data modeling to design new more * Saru Kumari saryusiirohi@gmail.com Pitam http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Multimodal data modeling for efficiency assessment of social priority based urban bus route transportation system using GIS and data envelopment analysis

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6147-6
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6147-6 Multimodal data modeling for efficiency assessment of social priority based urban bus route transportation system using GIS and data envelopment analysis 1 1 Pitam Singh & Ashish Kumar Singh & 2 3 Priyamvada Singh & Saru Kumari & Arun Kumar Sangaiah Received: 2 February 2018 /Revised: 22 April 2018 /Accepted: 15 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract 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 Infor- mation System (GIS) technology is used for multimodal data modeling to design new more * Saru Kumari saryusiirohi@gmail.com Pitam

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jun 5, 2018

References

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