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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Model of Ridesourcing Demand Generation and Distribution
Patrícia Sauri Lavieri, Felipe F. Dias, Natalia Ruiz Juri, et al.
Transportation Research Record Journal of the Transportation Research Board (2018) Vol. 2672, Iss. 46, pp. 31-40
Closed Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Investigating objective and subjective factors influencing the adoption, frequency, and characteristics of ride-hailing trips
Patrícia Sauri Lavieri, Chandra R. Bhat
Transportation Research Part C Emerging Technologies (2019) Vol. 105, pp. 100-125
Closed Access | Times Cited: 252
Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression
Haitao Yu, Zhong‐Ren Peng
Journal of Transport Geography (2019) Vol. 75, pp. 147-163
Closed Access | Times Cited: 196
Mobility-on-demand: An empirical study of internet-based ride-hailing adoption factors, travel characteristics and mode substitution effects
Ransford A. Acheampong, Alhassan Siiba, Dennis Kwadwo Okyere, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 115, pp. 102638-102638
Closed Access | Times Cited: 173
Trends in Taxi Use and the Advent of Ridehailing, 1995–2017: Evidence from the US National Household Travel Survey
Matthew Conway, Deborah Salon, David A. King
Urban Science (2018) Vol. 2, Iss. 3, pp. 79-79
Open Access | Times Cited: 171
Characterization of ridesplitting based on observed data: A case study of Chengdu, China
Wenxiang Li, Ziyuan Pu, Ye Li, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 100, pp. 330-353
Open Access | Times Cited: 169
The Impact of Ride-Hailing Services on Congestion: Evidence from Indian Cities
Saharsh Agarwal, Deepa Mani, Rahul Telang
Manufacturing & Service Operations Management (2023) Vol. 25, Iss. 3, pp. 862-883
Closed Access | Times Cited: 48
Travel and energy implications of ridesourcing service in Austin, Texas
Tom Wenzel, Clément Rames, Eleftheria Kontou, et al.
Transportation Research Part D Transport and Environment (2019) Vol. 70, pp. 18-34
Open Access | Times Cited: 116
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Xiang Yan, Xinyu Liu, Xilei Zhao
Journal of Transport Geography (2020) Vol. 83, pp. 102661-102661
Closed Access | Times Cited: 104
Who Uses Ride-Hailing Services in the United States?
Sujan Sikder
Transportation Research Record Journal of the Transportation Research Board (2019) Vol. 2673, Iss. 12, pp. 40-54
Closed Access | Times Cited: 103
Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships
Yiming Xu, Xiang Yan, Xinyu Liu, et al.
Transportation Research Part A Policy and Practice (2021) Vol. 144, pp. 170-188
Closed Access | Times Cited: 98
Socioeconomic and usage characteristics of transportation network company (TNC) riders
Rick Grahn, Corey D. Harper, Chris Hendrickson, et al.
Transportation (2019) Vol. 47, Iss. 6, pp. 3047-3067
Closed Access | Times Cited: 96
Exploring the influence of built environment on Uber demand
Sadegh Sabouri, Keunhyun Park, Amy Smith, et al.
Transportation Research Part D Transport and Environment (2020) Vol. 81, pp. 102296-102296
Closed Access | Times Cited: 81
Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago
Arash Ghaffar, Suman Mitra, Michael Hyland
Transportation Research Part C Emerging Technologies (2020) Vol. 119, pp. 102769-102769
Closed Access | Times Cited: 79
Spatial distribution of ride-hailing trip demand and its association with walkability and neighborhood characteristics
Oriol Marquet
Cities (2020) Vol. 106, pp. 102926-102926
Closed Access | Times Cited: 72
Adoption and frequency of use of ride-hailing services in a European city: The case of Madrid
Juan Gómez, Álvaro Aguilera-García, Felipe F. Dias, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 131, pp. 103359-103359
Open Access | Times Cited: 65
Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago
Matthew D. Dean, Kara M. Kockelman
Journal of Transport Geography (2021) Vol. 91, pp. 102944-102944
Open Access | Times Cited: 63
Pooled versus private ride-hailing: A joint revealed and stated preference analysis recognizing psycho-social factors
Shuqing Kang, Aupal Mondal, Aarti C. Bhat, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 124, pp. 102906-102906
Closed Access | Times Cited: 58
Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto
Patrick Loa, Khandker Nurul Habib
Transportation Research Part A Policy and Practice (2021) Vol. 146, pp. 13-28
Closed Access | Times Cited: 58
Evaluation of e-scooters as transit last-mile solution
Natalia Zuniga-Garcia, Mauricio Tec, James G. Scott, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 139, pp. 103660-103660
Closed Access | Times Cited: 57
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Tanhua Jin, Long Cheng, Xucai Zhang, et al.
Transportation Research Part D Transport and Environment (2022) Vol. 110, pp. 103426-103426
Closed Access | Times Cited: 39
Systematic review on the evaluation of the effects of ride-hailing services on public road transportation
Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong J. Alex, et al.
Transportation Research Interdisciplinary Perspectives (2023) Vol. 22, pp. 100943-100943
Open Access | Times Cited: 25
Measuring the Impact of an Unanticipated Suspension of Ride-Sourcing in Austin, Texas
Robert C. Hampshire, Chris Simek, Tayo Fabusuyi, et al.
SSRN Electronic Journal (2017)
Closed Access | Times Cited: 77
Mode choice modelling for hailable rides: An investigation of the competition of Uber with other modes by using an integrated non-compensatory choice model with probabilistic choice set formation
Khandker Nurul Habib
Transportation Research Part A Policy and Practice (2019) Vol. 129, pp. 205-216
Closed Access | Times Cited: 65
A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service
Taehooie Kim, Shivam Sharda, Xuesong Zhou, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 120, pp. 102786-102786
Closed Access | Times Cited: 64
Are travelers substituting between transportation network companies (TNC) and public buses? A case study in Pittsburgh
Rick Grahn, Sean Qian, H. Scott Matthews, et al.
Transportation (2020) Vol. 48, Iss. 2, pp. 977-1005
Closed Access | Times Cited: 54
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