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Erschienen in:
Experimental Analysis on Big Data in IOT-Based Architecture Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Study on the Use of Geographic Information Systems (GIS) for Effective Transport Planning for Transport for London (TfL)

verfasst von : M. S. Mokashi, Perdita Okeke, Uma Mohan

Erschienen in: Proceedings of the International Conference on Data Engineering and Communication Technology

Verlag: Springer Singapore

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Abstract

This paper is intended to illustrate the impacts of geographic information systems in the planning of transport services, having the Transport for London as the precise case study. The study entailed an identification of GIS features, which support the planning of transport services. These features were studied in line with the current challenges faced by TfL, and were practically recommended as a means of tackling the problems. As a means of recognising bottlenecks, likely to be encountered in the future, an integration of GIS into travel demand analysis should be done (Alterkawi in GBER J 1(2):38−46 [2]). Both qualitative and quantitative methodologies are used as a means of collecting data useful to the research area. It was found that TfL is already in use of GIS, but to a minimal extent, the organisation is open to recommendations in this regard.

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Vorheriges Kapitel A Framework to Enhance Security for OTP SMS in E-Banking Environment Using Cryptography and Text Steganography
Nächstes Kapitel An Integration of Big Data and Cloud Computing
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Metadaten
Titel
Study on the Use of Geographic Information Systems (GIS) for Effective Transport Planning for Transport for London (TfL)
verfasst von
M. S. Mokashi
Perdita Okeke
Uma Mohan
Copyright-Jahr
2017
Verlag
Springer Singapore
Buch
Proceedings of the International Conference on Data Engineering and Communication Technology

Print ISBN: 978-981-10-1677-6

Electronic ISBN: 978-981-10-1678-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-981-10-1678-3_69