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2020 | nr 23(3) | 29--40
Tytuł artykułu

Bike-Sharing System in Poznan - What Will Web API Data Tell us?

Warianty tytułu
System rowerów miejskich w Poznaniu - co nam powiedzą dane z Web API?
Języki publikacji
EN
Abstrakty
EN
Bike-sharing systems, also known as public bicycles, are among the most dynamically developing mobility solutions in contemporary cities. In the past decade, numerous Polish cities hoping to increase the modal share of cycling have also adopted bike-sharing. Such systems continuously register user movements through installed sensors. The resulting database allows a highly detailed representation of this segment of urban mobility. This article illustrates how a database accessed via a Web API (Web Application Programming Interface) could be used to investigate the spatial distribution of trips, using the case study of Poznań, the fifth-largest city in Poland. Using geographical information systems, we identify the hot spots of bike-sharing as well as areas with low usage. The research procedure outlined in the paper provides knowledge that allows better responding to users' needs. (original abstract)
Rocznik
Numer
Strony
29--40
Opis fizyczny
Twórcy
  • Adam Mickiewicz University in Poznań, Poland
  • Adam Mickiewicz University in Poznań, Poland
  • Adam Mickiewicz University in Poznań, Poland
Bibliografia
  • Bieliński, T., Kwapisz, A., Ważna, A., 2019. Bike-Sharing Systems in Poland, Sustainability, 11, 2458. (DOI 10.3390/su11092458)
  • Buehler, R., & Pucher, J., 2017. Trends in walking and cycling safety: Recent evidence from high-income countries, with a focus on the United States and Germany. American Journal of Public Health, 107(2), 281-287. (DOI 10.2105/AJPH.2016.303546)
  • Caulfield, B., O'Mahony, M., Brazil, W., Weldon, P., 2017. Examining usage patterns of a bike-sharing scheme in a medium sized city, Transportation Research Part A: Policy and Practice, 100, 152-161. (DOI 10.1016/j.tra.2017.04.023)
  • Demsar, J. i in. Orange: Data Mining Toolbox in Python, Journal of Machine Learning Research, 14, 2349-2353, 2013.
  • Dębowska-Mróz M., Lis P., Szymanek A., Zawisza T., 2017, Rower miejski jako element systemu transportowego w miastach, Autobusy, 6, 1173-1182.
  • Du, M., Cheng, L., 2018. Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China, Sustainability, 10, 1244. (DOI 10.3390/su10041244)
  • Du, Y., Deng, F., Liao, F., 2019. A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system. Transportation Research Part C: Emerging Technologies, 103, 39-55. (DOI 10.1016/j.trc.2019.04.006)
  • Faghih-Imani, A., Eluru, N., El-Geneidy, A.M., Rabbat, M., Haq, U., 2014. How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal. Journal of Transport Geography, 41, 306-314. (DOI 10.1016/j.jtrangeo.2014.01.013)
  • Faghih-Imani, A., Hampshire, R., Marla, L., & Eluru, N. (2017). An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville. Transportation Research Part A: Policy and Practice, 97, 177-191. (DOI 10.1016/j.tra.2016.12.007)
  • Fishman, E., 2016. Bikeshare: A Review of Recent Literature. Transport Reviews, 36, 92-113. (DOI 10.1080/01441647.2015.1033036)
  • Giot, R., Cherrier, R., 2014. Predicting bikeshare system usage up to one day ahead, [in:] 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS). Presented at the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS), IEEE, Orlando, FL, USA, 22-29. (DOI 10.1109/CIVTS.2014.7009473)
  • Goodman, A., Cheshire, J., 2014. Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices. Journal of Transport Geography, 41, 272-279. (DOI 10.1016/j.jtrangeo.2014.04.004)
  • Heidelberg Institute for Geoinformation Technology, https://openrouteservice.org/dev/
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171609571

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