Open Access
Issue
MATEC Web Conf.
Volume 272, 2019
2018 2nd International Conference on Functional Materials and Chemical Engineering (ICFMCE 2018)
Article Number 01033
Number of page(s) 9
DOI https://doi.org/10.1051/matecconf/201927201033
Published online 13 March 2019
  1. Paronda A (2017). An Exploratory Study on Uber, GrabCar, and Conventional Taxis in Metro Manila. Conference: Sustainable Built Design 2017 ResearchGate pp 1-7 (Metro Manila) [Google Scholar]
  2. Billups F D 2012 Qualitative Data Analysis: An Overview for Beginning Qualitative Researchers The NERA Researcher 50 pp 8-10 [Google Scholar]
  3. Schaller B (2017, February 27). Unsustainable? The Growth of App-Based Ride Services and Traffic, Travel and the Future of New York City. (Retrieved 2018)from http://www.schallerconsult.com/rideservices/unsustainable.pdf [Google Scholar]
  4. Chang H H 2017 The Economic Effects of Uber on Taxi Drivers in Taiwan. Journal of Competition Law and Economics 13 (Taiwan) [Google Scholar]
  5. Wallsten S (2015) The Competitive Effects of the Sharing Economy: How is Uber Changing Taxis? Technology Policy Institute page 16 (New York; Washington, DC) [Google Scholar]
  6. Yu M (2017, June) How can the taxi industry survive the tide of ridesourcing? Evidence from Shenzhen, China Transportation Research: Emerging Technologies 79 page 1 (Shenzhen, China) [Google Scholar]
  7. Jaen, Liñan, & Moriano 2010. Personal Values and Entrepreneurial Intentions: An Empirical study. Researchgate pp 438-453 [Google Scholar]
  8. Jenk, J (2015). Theory meets practice in the taxi industry: Coase and Uber. MPRA. page 2. [Google Scholar]
  9. Cantwell M, et al. 2009 Examining the Factors that Impact Public Transport Commuting Satisfaction The Journal Public Transportation 12 pp 1-21 (South Florida) [CrossRef] [Google Scholar]
  10. Adriano M M & Su C C 2017 Out with the Old, In with The New: A Study on The Vehicle Hailing Preferences of Filipino Taxi Riders Based on Participation Intent International Journal of Real Estate Studies 11 page 80 (University of the Philippines, Manila) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.