An Analysis of the Attractiveness of Shared Bike in Mainland China

Xing Min Lin, Chun Heng Ho, Zhong Zhen Lin, Bao Yi Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The emergence of shared bikes in mainland China is a product of the technological experience economy. It offers an efficient solution to “the last kilometre” problem, achieving the goal of green journey, and maximizing of public resource use ratio. Since its emergence, it has shown powerful and trendy development towards the great metropolitan. With OFO, MOBIKE, and HELLOBIKE as representatives, the shared bike journey is now the third largest among public transportation choices, playing an important role in improving city transportation efficiency, promoting energy conservation, and emission reduction. This analysis is based on online questionnaires after selecting heavy users of shared bikes. Through EGM (Evaluation Grid Method) the interviews were conducted. After that, the characteristics were identified to formulate an evaluation grid diagram and a questionnaire was compiled again to go through quantitative theory type analysis, probing into consumers’ preference level, and prompting their willingness.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Kansei Engineering and Emotion Research, 2018
EditorsShinichi Koyama, Toshimasa Yamanaka, Pierre Levy, Anitawati Mohd Lokman, Kuohsiang Chen
PublisherSpringer Verlag
Pages218-228
Number of pages11
ISBN (Print)9789811086113
DOIs
Publication statusPublished - 2018 Jan 1
Event7th International Conference on Kansei Engineering and Emotion Research, KEER 2018 - Kuching, Malaysia
Duration: 2018 Mar 192018 Mar 22

Publication series

NameAdvances in Intelligent Systems and Computing
Volume739
ISSN (Print)2194-5357

Other

Other7th International Conference on Kansei Engineering and Emotion Research, KEER 2018
CountryMalaysia
CityKuching
Period18-03-1918-03-22

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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