Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs

Passengers changing to taxis in airport hubs are facing problems such as complicated transfer lines, long transfer distance and time, stranded at taxi stands, and imperfect emergency safeguard measures. Combining with the trend of smart passenger services under the development of new generation of i...

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Main Authors: Zhong Min, Liu Yi
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2020/21/matecconf_ictle2020_04005.pdf
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spelling doaj-08950c7400c740f8bd45bf760cca47fc2021-08-05T13:52:14ZengEDP SciencesMATEC Web of Conferences2261-236X2020-01-013250400510.1051/matecconf/202032504005matecconf_ictle2020_04005Research on the Evaluation Index System of the Taxi Operation and Service in Airport HubsZhong Min0Liu Yi1 Big data and Information Management Department, Civil Aviation Management Institute of China Big data and Information Management Department, Civil Aviation Management Institute of ChinaPassengers changing to taxis in airport hubs are facing problems such as complicated transfer lines, long transfer distance and time, stranded at taxi stands, and imperfect emergency safeguard measures. Combining with the trend of smart passenger services under the development of new generation of information technology, this paper constructs a set of taxi operation and service evaluation index system reflecting unique attributes of the airport hub collection and distribution system. The index system considers the rationality of taxi infrastructure configuration, the matching of passenger service facilities, collection and distribution efficiency, transfer efficiency, etc. It also discusses index quantification and evaluation methods. Aiming at the real-time prediction of inbound flight passenger flow, taxi sharing rate and taxi capacity, the realization process of prediction models is proposed based on the big data method. Meanwhile, combining with the combing of comprehensive transportation operation information systems of hubs, it proposes to extract data from information systems to calculate some index values. The establishment of this index system can provide a strong reference for the evaluation of other transportation modes and the overall hub, and provide decision support for the optimization and improvement of taxi dispatch and overall operation and service of airport hubs.https://www.matec-conferences.org/articles/matecconf/pdf/2020/21/matecconf_ictle2020_04005.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zhong Min
Liu Yi
spellingShingle Zhong Min
Liu Yi
Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs
MATEC Web of Conferences
author_facet Zhong Min
Liu Yi
author_sort Zhong Min
title Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs
title_short Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs
title_full Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs
title_fullStr Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs
title_full_unstemmed Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs
title_sort research on the evaluation index system of the taxi operation and service in airport hubs
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2020-01-01
description Passengers changing to taxis in airport hubs are facing problems such as complicated transfer lines, long transfer distance and time, stranded at taxi stands, and imperfect emergency safeguard measures. Combining with the trend of smart passenger services under the development of new generation of information technology, this paper constructs a set of taxi operation and service evaluation index system reflecting unique attributes of the airport hub collection and distribution system. The index system considers the rationality of taxi infrastructure configuration, the matching of passenger service facilities, collection and distribution efficiency, transfer efficiency, etc. It also discusses index quantification and evaluation methods. Aiming at the real-time prediction of inbound flight passenger flow, taxi sharing rate and taxi capacity, the realization process of prediction models is proposed based on the big data method. Meanwhile, combining with the combing of comprehensive transportation operation information systems of hubs, it proposes to extract data from information systems to calculate some index values. The establishment of this index system can provide a strong reference for the evaluation of other transportation modes and the overall hub, and provide decision support for the optimization and improvement of taxi dispatch and overall operation and service of airport hubs.
url https://www.matec-conferences.org/articles/matecconf/pdf/2020/21/matecconf_ictle2020_04005.pdf
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