Linking TNC with passengers: Investigating TNC use among lower-income residents with limited access to cars
Tài liệu tham khảo
Alemi, 2018, What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California, Travel Behav. Soc., 13, 88, 10.1016/j.tbs.2018.06.002
Bansal, 2020, Eliciting preferences of TNC users and drivers: Evidence from the United States, Travel Behav. Soc., 20, 225, 10.1016/j.tbs.2020.04.002
Barajas, 2021, Not minding the gap: Does ride-hailing serve transit deserts?, J. Transp. Geogr., 90, 10.1016/j.jtrangeo.2020.102918
Blumenberg, 2021, Travel in the digital age: Vehicle ownership and technology-facilitated accessibility, Transp. Policy, 103, 86, 10.1016/j.tranpol.2021.01.014
Boisjoly, 2018, Invest in the ride: A 14 year longitudinal analysis of the determinants of public transport ridership in 25 North American cities, Trans. Res. Part A: Policy Pract., 116, 434
Brown, A. (2018). Ridehail Revolution: Ridehail Travel and Equity in Los Angeles [UCLA]. https://escholarship.org/uc/item/4r22m57k.
Brown, A. (2019). Redefining Car Access. Journal of the American Planning Association, 0(0), 1–13. 10.1080/01944363.2019.1603761.
Chicago Metropolitan Agency for Planning. (n.d.-a). Household Travel Survey. Retrieved March 6, 2021, from https://www.cmap.illinois.gov/data/transportation/travel-survey.
Chicago Metropolitan Agency for Planning. (n.d.-b). Transit Availability Index. Retrieved March 8, 2021, from https://datahub.cmap.illinois.gov/dataset/access-to-transit-index.
Chicago Metropolitan Agency for Planning. (2020). 2018-19 My Daily Travel Methods and Final Survey Report. https://datahub.cmap.illinois.gov/dataset/traveltracker0708/resource/22eb7767-b143-416f-bb0f-37e6755231fd?inner_span=True.
Clewlow, 2017, (p. 35).
Conway, 2018, Trends in Taxi Use and the Advent of Ridehailing, 1995–2017: Evidence from the US National Household Travel Survey, Urban Science, 2, 79, 10.3390/urbansci2030079
Diao, 2021, Impacts of transportation network companies on urban mobility, Nat. Sustainability, 4, 494, 10.1038/s41893-020-00678-z
Dias, 2021, Modeling the Evolution of Ride-Hailing Adoption and Usage: A Case Study of the Puget Sound Region, Transp. Res. Rec., 2675, 81, 10.1177/0361198120964788
Dong, 2020, Trade Uber for the Bus?, J. Am. Plan. Assoc., 86, 222, 10.1080/01944363.2019.1687318
Erhardt, G. D., Mucci, R. A., Cooper, D., Sana, B., Chen, M., & Castiglione, J. (2021). Do transportation network companies increase or decrease transit ridership? Empirical evidence from San Francisco. Transportation. 10.1007/s11116-021-10178-4.
Fairfax County. (n.d.-a). Taxi Voucher Program. Retrieved March 7, 2021, from https://www.fairfaxcounty.gov/neighborhood-community-services/transportation/tops.
Fairfax County. (n.d.-b). TOPS - Transportation Options, Programs & Services. Retrieved June 18, 2021, from https://www.fairfaxcounty.gov/neighborhood-community-services/transportation/top.
Feigon, S., & Murphy, C. (2016). Shared Mobility and the Transformation of Public Transit. The National Academies Press. https://www.nap.edu/catalog/23578/shared-mobility-and-the-transformation-of-public-transit.
Feigon, S., & Murphy, C. (2018). Broadening Understanding of the Interplay Among Public Transit, Shared Mobility, and Personal Automobiles. The National Academies Press. https://www.nap.edu/catalog/24996/broadening-understanding-of-the-interplay-among-public-transit-shared-mobility-and-personal-automobiles.
Graehler Jr, M., Mucci, R. A., & Erhardt, G. D. (2019). Understanding the Recent Transit Ridership Decline in Major US Cities: Service Cuts or Emerging Modes? Transportation Research Board 98th Annual MeetingTransportation Research Board, Washington DC. https://trid.trb.org/view/1572517.
Hall, 2018, Is Uber a substitute or complement for public transit?, Journal of Urban Economics, 108, 36, 10.1016/j.jue.2018.09.003
Hoffmann, J. P. (2016). Regression Models for Categorical, Count, and Related Variables: An Applied Approach.
Jiao, 2020, The impact of shared mobility on trip generation behavior in the US: Findings from the 2017 National Household Travel Survey, Travel Behaviour and Society, 19, 1, 10.1016/j.tbs.2019.11.001
Mitra, 2019, Use of Ride-Hailing Services among Older Adults in the United States, Transp. Res. Rec., 2673, 700, 10.1177/0361198119835511
Moody, 2019, Rider-to-rider discriminatory attitudes and ridesharing behavior, Trans. Res. Part F: Traffic Psychol. Behav.r, 62, 258, 10.1016/j.trf.2019.01.003
City of Chicago. (n.d.). Transportation Network Providers Trips. Retrieved March 7, 2021, from https://data.cityofchicago.org/Transportation/Transportation-Network-Providers-Trips-Dashboard/pvbr-dkbf.
Mozahem, N. (2020). Modeling Count Data using Stata.
Pike, S., & Kazemian, S. (2019). Partnerships between Ridehailing Companies and Public Transit Agencies: An Exploration of Inter-agency Learning about Pilot Programs. 10.7922/G2QR4VBR.
Rayle, 2016, Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco, Transp. Policy, 45, 168, 10.1016/j.tranpol.2015.10.004
Sarriera, 2017, To Share or Not to Share: Investigating the Social Aspects of Dynamic Ridesharing, Transp. Res. Rec., 2605, 109, 10.3141/2605-11
Sikder, 2019, Who Uses Ride-Hailing Services in the United States?, Transp. Res. Rec., 2673, 40, 10.1177/0361198119859302
Jackman, S., Tahk, A., Zeileis, A., Maimone, C., Fearon, J., & Meers, Z. (2020). pscl: Political Science Computational Laboratory (1.5.5) [Computer software]. Comprehensive R Archive Network (CRAN). https://CRAN.R-project.org/package=pscl.
Smith, 2016
TLC Data Hub. (n.d.). Retrieved January 9, 2021, from https://tlcanalytics.shinyapps.io/tlc_dash/.
UCLA Institute for Digital Research and Education. (n.d.). Zero-Inflated Negative Binomial Regression | Stata Annotated Output. Retrieved June 18, 2021, from https://stats.idre.ucla.edu/stata/output/zero-inflated-negative-binomial-regression/.
U. S. Census Bureau. (n.d.). Longitudinal Employer-Household Dynamics. Retrieved December 28, 2019, from https://lehd.ces.census.gov/data/.
U.S. Census Bureau. (2019). American Community Survey 2014-2018 5-Year Estimates. https://data.census.gov/cedsci/?q=american%20community%20survey.
U.S. Department of Housing and Urban Development. (n.d.). Income Limits | HUD USER. Retrieved March 6, 2021, from https://www.huduser.gov/portal/datasets/il.html#2017.
Ward, 2021, The impact of Uber and Lyft on vehicle ownership, fuel economy, and transit across U.S. cities, IScience, 24, 101933, 10.1016/j.isci.2020.101933