References
- Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. https://doi.org/10.1109/TAC.1974.1100705
- Almannaa, M. H., Ashqar, H. I., Elhenawy, M., Masoud, M., Rakotonirainy, A., & Rakha, H. (2021). A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX. International Journal of Sustainable Transportation, 15(7), 571–579. https://doi.org/10.1080/15568318.2020.1833117
- American Public Transportation Association. (2020). 2020 Public Transportation Fact Book (71st Edition). https://www.apta.com/wp-content/uploads/APTA-2020-Fact-Book.pdf
- AustinTexas.gov. (2022). https://www.austintexas.gov/sharedmobility
- Bai, S., & Jiao, J. (2020). Dockless e-scooter usage patterns and urban built Environments: A comparison study of Austin, TX, and Minneapolis, MN. Travel Behaviour and Society, 20, 264–272. https://doi.org/10.1016/j.tbs.2020.04.005
- Bordagaray, M., dell’Olio, L., Fonzone, A., & Ibeas, Á. (2016). Capturing the conditions that introduce systematic variation in bike-sharing travel behavior using data mining techniques. Transportation Research Part C: Emerging Technologies, 71, 231–248. https://doi.org/10.1016/j.trc.2016.07.009
- Brunsdon, C., Fotheringham, S., & Charlton, M. (1998). Geographically weighted regression. Journal of the Royal Statistical Society: Series D (the Statistician), 47(3), 431–443. https://doi.org/10.1111/1467-9884.00145
- Campbell, K. B., & Brakewood, C. (2017). Sharing riders: How bikesharing impacts bus ridership in New York City. Transportation Research Part A: Policy and Practice, 100, 264–282. https://doi.org/10.1016/j.tra.2017.04.017
- Campbell, A. A., Cherry, C. R., Ryerson, M. S., & Yang, X. (2016). Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transportation Research Part C: Emerging Technologies, 67, 399–414. https://doi.org/10.1016/j.trc.2016.03.004
- Capital Metro. (2020). Open Data Portal. State of Texas Open Data Portal. https://data.texas.gov/browse?Dataset-Category_Agency=Capital+Metropolitan+Transportation+Authority&category=Transportation&utf8=%E2%9C%93
- Clewlow, R. R. (2019). The Micro-Mobility Revolution: The Introduction and Adoption of Electric Scooters in the United States (No. 19–03991). Article 19–03991. Transportation Research Board 98th Annual Meeting. https://trid.trb.org/view/1572549
- Economic Development. (2018). Dockless Vehicle Trips: Dockless Vehicle Trips [Application/xml]. 3KB. https://doi.org/10.26000/030.000003
- Gitelman, V., Pesahov, F., Carmel, R., & Chen, S. (2017). Exploring the characteristics of potential and current users of mobility scooters, among older people in Israel. Transportation Research Part F: Traffic Psychology and Behaviour, 46, 373–389. https://doi.org/10.1016/j.trf.2016.07.010
- Gu, T., Kim, I., & Currie, G. (2019). Measuring immediate impacts of a new mass transit system on an existing bike-share system in China. Transportation Research Part A: Policy and Practice, 124, 20–39. https://doi.org/10.1016/j.tra.2019.03.003
- Guidon, S., Becker, H., Dediu, H., & Axhausen, K. W. (2019). Electric bicycle-sharing: A new competitor in the urban transportation market? An empirical analysis of transaction data. Transportation Research Record: Journal of the Transportation Research Board, 2673(4), 15–26. https://doi.org/10.1177/0361198119836762
- Hardt, C., & Bogenberger, K. (2019). Usage of e-scooters in urban environments. Transportation Research Procedia, 37, 155–162. https://doi.org/10.1016/j.trpro.2018.12.178
- Jordehi, B. A., Rose, G., & Thompson, R. G. (2013). Motorcycle and motor scooter use in Victoria, Australia. Transportation Research Record: Journal of the Transportation Research Board, 2388(1), 61–70. https://doi.org/10.3141/2388-09
- Kong, H., Jin, S., & Sui, D. (2020). Deciphering the relationship between bikesharing and public transit: Modal substitution, integration, and complementation. Transportation Research Part D: Transport and Environment, 85, 102392. https://doi.org/10.1016/j.trd.2020.102392
- Laa, B., & Leth, U. (2020). Survey of e-scooter users in Vienna: Who they are and how they ride. Journal of Transport Geography, 89, 102874. https://doi.org/10.1016/j.jtrangeo.2020.102874
- Levy, N., Golani, C., & Ben-Elia, E. (2019). An exploratory study of spatial patterns of cycling in Tel Aviv using passively generated bike-sharing data. Journal of Transport Geography, 76, 325–334. https://doi.org/10.1016/j.jtrangeo.2017.10.005
- Ma, T., Liu, C., & Erdoğan, S. (2015). Bicycle sharing and public transit: Does capital bikeshare affect metrorail ridership in Washington, D.C.? World Transit. Research, https://www.worldtransitresearch.info/research/5835
- Ma, X., Zhang, X., Li, X., Wang, X., & Zhao, X. (2019). Impacts of free-floating bikesharing system on public transit ridership. Transportation Research Part D: Transport and Environment, 76, 100–110. https://doi.org/10.1016/j.trd.2019.09.014
- Martin, E. W., & Shaheen, S. A. (2014). Evaluating public transit modal shift dynamics in response to bikesharing: A tale of two U.S. cities. Journal of Transport Geography, 41, 315–324. https://doi.org/10.1016/j.jtrangeo.2014.06.026
- Mathew, J. K., Liu, M., Seeder, S., Li, H., & Bullock, D. M. (2019). Analysis of e-scooter trips and their temporal usage patterns. Institute of Transportation Engineers. ITE Journal, 89(6), 44–49.
- Mazzanti, S. (2020). Boruta explained the way I wish someone explained it to me. Medium. https://towardsdatascience.com/boruta-explained-the-way-i-wish-someone-explained-it-to-me-4489d70e154a
- McKenzie, G. (2019). Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C. Journal of Transport Geography, 78, 19–28. https://doi.org/10.1016/j.jtrangeo.2019.05.007
- Médard de Chardon, C. (2019). The contradictions of bike-share benefits, purposes and outcomes. Transportation Research Part A: Policy and Practice, 121, 401–419. https://doi.org/10.1016/j.tra.2019.01.031
- Munira, S., & Sener, I. N. (2020). A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin, Texas. Journal of Transport Geography, 88, 102865. https://doi.org/10.1016/j.jtrangeo.2020.102865
- NACTO. (2020). Bike share and shared micromobility initiative. National Association of City Transportation Officials. https://nacto.org/program/bike-share-initiative/
- Oshan, T. M., Li, Z., Kang, W., Wolf, L. J., & Fotheringham, A. S. (2018). mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale. In OSF Preprints (No. bphw9; OSF Preprints). Center for Open Science. https://ideas.repec.org/p/osf/osfxxx/bphw9.html
- Pan, H., Shen, Q., & Xue, S. (2010). Intermodal transfer between bicycles and rail transit in Shanghai, China. World Transit Research, https://www.worldtransitresearch.info/research/3808
- Reck, D. J., Haitao, H., Guidon, S., & Axhausen, K. W. (2021). Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland. Transportation Research Part C: Emerging Technologies, 124, 102947. https://doi.org/10.1016/j.trc.2020.102947
- Renub Research. (2020). Electric Scooter Market Global Forecast by Country, Product, Battery Type, Company. https://www.researchandmarkets.com/reports/4912095/electric-scooter-market-global-forecast-by
- SafeGraph. (2020). Places Data & Foot-Traffic Insights | SafeGraph.com. https://www.safegraph.com/
- Sanders, R. L., Branion-Calles, M., & Nelson, T. A. (2020). To scoot or not to scoot: Findings from a recent survey about the benefits and barriers of using E-scooters for riders and non-riders. Transportation Research Part A: Policy and Practice, 139, 217–227. https://doi.org/10.1016/j.tra.2020.07.009
- Singleton, P. A., & Clifton, K. J. (2014). Exploring synergy in bicycle and transit use: Empirical evidence at two scales. Transportation Research Record: Journal of the Transportation Research Board, 2417(1), 92–102. https://doi.org/10.3141/2417-10
- Syed, S., & Khan, A, Government of North West Territories, Canada. (2001). Factor analysis for the study of determinants of public transit ridership. Journal of Public Transportation, 3(3), 1–17. https://doi.org/10.5038/2375-0901.3.3.1
- Taylor, B. D., Miller, D., Iseki, H., & Fink, C. (2009). Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas. Transportation Research Part A: Policy and Practice, 43(1), 60–77. https://doi.org/10.1016/j.tra.2008.06.007
- Younes, H., Zou, Z., Wu, J., & Baiocchi, G. (2020). Comparing the temporal determinants of dockless scooter-share and station-based bike-share in Washington, D.C. Transportation Research Part A: Policy and Practice, 134, 308–320. https://doi.org/10.1016/j.tra.2020.02.021
- Zou, Z., Younes, H., Erdoğan, S., & Wu, J. (2020). Exploratory analysis of real-time e-scooter trip data in Washington, D.C. Transportation Research Record: Journal of the Transportation Research Board, 2674(8), 285–299. https://doi.org/10.1177/0361198120919760