Establishment of Supply And Demand Match Indicators for Taxi Resource

DOI

10.2991/wartia-16.2016.21How to use a DOI?

Keywords

Internet +, cluster analysis, multi-objective programming

Abstract

With the coming of “Internet +” era, drops a taxi, Uber and other companies rely on mobile Internet software to establish a taxi service platform, and achieve information exchange between the passengers and the drivers. Aiming at this phenomenon, based on in the history data in a certain period at designated observation point of Beijing to analyze the taxi resources match and the difficulty of taking a taxi. From the sky drops and quick smart travel platform, this paper extracts 11 sample locations in Beijing such as Jianguomen, Fuxingmen of taxi distribution and demand in 22 sample time from September 6th to May 7th, 2015, taking the number of people using the drops one million and drops penetration in the taxi industry, to estimate Beijing’s taxi operations (supply and demand). In order to establish a reasonable target, we should analyze the match level of supply and demand of different space-time taxi resource. To establish the related matching degree of the taxi demand supply indicators (defined as the difference rate), this paper uses control variables to analyze taxi resource matching degree of sample locations and sample time in Beijing. Use cluster analysis method to get the conclusion of 11 observation points: The matching degree in Fuxingmen, Xizhimen and Zhongguancun is low, and that of Jianguomen, Dongzhimen and Xisanqi is higher. The matching degree of weekend daytime and weekday evening peak (7:00-10:00, 17:00-20: 00) is lower compared with other periods.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yilin Song
PY  - 2016/05
DA  - 2016/05
TI  - Establishment of Supply And Demand Match Indicators for Taxi Resource
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 105
EP  - 108
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.21
DO  - 10.2991/wartia-16.2016.21
ID  - Song2016/05
ER  -