Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling-Reference-Cited by-同舟云学术

Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling

Published:2019-05 Issue:3 Volume:33 Page:05019002
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Faghih S. S.¹,Safikhani A.²,Moghimi B.³,Kamga C.⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, City College of New York, New York, NY 10031 (corresponding author).

2. Assistant Professor, Dept. of Statistics, Columbia Univ., New York, NY 10027.

3. Ph.D. Candidate, Dept. of Civil Engineering, City College of New York, New York, NY 10031.

4. Associate Professor, Dept. of Civil Engineering, City College of New York, New York, NY 10031.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000825

Reference30 articles.

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3. Sharing cities and sustainable consumption and production: towards an integrated framework

4. Correa D. K. Xie and K. Ozbay. 2017. “Exploring the taxi and uber demands in New York city: An empirical analysis and spatial modeling.” In Proc. Transportation Research Board’s 96th Annual Meeting. Washington DC: Transportation Research Board.

5. d’Orey P. M. R. Fernandes and M. Ferreira. 2012. “Empirical evaluation of a dynamic and distributed taxi-sharing system.” In Proc. 15th Int. IEEE Conf. on Intelligent Transportation Systems (ITSC) 140–146. New York: IEEE.

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