EVALUATION OF THE EQUIVALENT TRIP DISTANCE USING MICROMOBILITY AND PUBLIC TRANSIT ACCORDING TO THE TIME CRITERION

Authors

  • А. Botsman O.M. Beketov National University of Urban Economy in Kharkiv
  • D. Ponkratov O.M. Beketov National University of Urban Economy in Kharkiv
  • D. Roslavtsev O.M. Beketov National University of Urban Economy in Kharkiv
  • М. Pavlov O.M. Beketov National University of Urban Economy in Kharkiv

DOI:

https://doi.org/10.33042/2522-1809-2022-6-173-199-205

Keywords:

transport system, micromobility, equivalent distance, sharing system, public transit, directness of the connection

Abstract

The advanced direction of improving the transport systems of the cities is to ensure their sustainability. Transport system sustainability directed to provide its operational efficiency, ensures the city residents transportation needs satisfaction with the appropriate level of quality and the least of the travel time costs, contributes to the economic development of the city and reduces the negative environmental impact of the transport. The concept of sustainable urban development involves widespread alternative transportation modes, in particular micromobility. The benefits of micromobility include cost-effectiveness (lack of dependence on fuel), high capacity of the transport infrastructure, environmental friendliness, and positive impact on user’s health. The main factors that affect users' choice to using micromobility are safety, cost, time and effort. The cost level depends on which one vehicle is used, own or hired through a sharing system. Travel time depends on distance and speed, which is related to the type of vehicle, user experience, time of day, weather conditions, etc. Carrying out long-distance micromobility is associated with significant efforts and usually does not provide time savings. However, the joint use of micromobility with transit services at the first-mile and (or) last-mile of the trip can really compete with private cars.

The research proposed an analytical equation of determining the rational spheres micromobility trips choice by users according to the time criterion. This equation involves the definitionn of the equivalent trip distance by scheduled passenger transport and micromobility considering the directness of connections by the specified modes. It is assumed that the directness of the micromobility trips is higher than for public transit. It was established that the equivalent trip distance can vary widely, which is due to the different ratio of the micromobility and public transit trips conditions. Further research will be focused on the study of the separate and combined influence of equivalent trip distance factors and establishing the patterns of its change.

Author Biographies

А. Botsman, O.M. Beketov National University of Urban Economy in Kharkiv

graduate student

D. Ponkratov, O.M. Beketov National University of Urban Economy in Kharkiv

Doctor of Technical Sciences, Associate Professor

D. Roslavtsev, O.M. Beketov National University of Urban Economy in Kharkiv

PhD, Associate Professor

М. Pavlov, O.M. Beketov National University of Urban Economy in Kharkiv

student

References

Liao, F., Correia, G. (2022). Electric carsharing and micromobility: A literature review on their usage pattern, demand, and potential impacts. International Journal of Sustainable Transportation, 16 (3), 269-286.

Macioszek, E., Cieśla, M. (2022). External environmental analysis for sustainable bike-sharing system development. Energies, 15(791), 1-22.

Heinen, E., Van Wee, B., Maat, K. (2010). Commuting by bicycle: an overview of the literature. Transport reviews, 30(1), 59-96.

Ensor, M., Maxwell, O., Bruce, B. O. (2021). Mode shift to micromobility. Waka Kotahi NZ Transport Agency Research Report, 674. 111.

Liu, L., Miller, H. J. (2022). Measuring the impacts of dockless micro-mobility services on public transit accessibility. Computers, Environment and Urban Systems, 98, 1-12.

Elmashhara, M. G., Silva, J., Sá, E., Carvalho, A., Rezazadeh, A. (2022). Factors influencing user behaviour in micromobility sharing systems: A systematic literature review and research directions. Travel Behaviour and Society, 27, 1-25.

Arias-Molinares, D., Julio, R., García-Palomares, J. C., Gutiérrez, J. (2021). Exploring micromobility services: Characteristics of station-based bike-sharing users and their relationship with dockless services. Journal of Urban Mobility, 1, 1-16.

Feng, C., Jiao, J., Wang, H. (2022). Estimating e-scooter traffic flow using big data to support planning for micromobility. Journal of Urban Technology, 29(2), 139-157.

McKenzie, G. (2020). Urban mobility in the sharing economy: A spatiotemporal comparison of shared mobility services. Computers, Environment and Urban Systems, 79, 1-15.

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, 2673(4), 15-26.

Schleinitz, K., Petzoldt, T., Franke-Bartholdt, L., Krems, J., Gehlert, T. (2017). The German Naturalistic Cycling Study–Comparing cycling speed of riders of different e-bikes and conventional bicycles. Safety science, 92, 290-297.

Romanillos, G., Moya-Gómez, B., Zaltz-Austwick, M., Lamiquiz-Dauden, P. J. (2018). The pulse of the cycling city: visualising Madrid bike share system GPS routes and cycling flow. Journal of Maps, 14(1), 34-43.

Oeschger, G., Carroll, P., Caulfield, B. (2020). Micromobility and public transport integration: The current state of knowledge. Transportation Research Part D: Transport and Environment, 89, 1-21.

Hong, D., Jang, S., Lee, C. (2022). Investigation of shared micromobility preference for last-mile travel on shared parking lots in city center. Travel Behaviour and Society, 30, 163-177.

Zuniga-Garcia, N., Tec, M., Scott, J. G., Machemehl, R. B. (2022). Evaluation of e-scooters as transit last-mile solution. Transportation research part C: emerging technologies, 139, 1-34.

Schwinger, F., Tanriverdi, B., Jarke, M. (2022). Comparing Micromobility with Public Transportation Trips in a Data-Driven Spatio-Temporal Analysis. Sustainability, 14, 8247, 1-27.

Shestokas, V. V., Samoilov, D. S. (1987) Conflict situations and traffic safety in cities. M.: Transport, 207.

Published

2022-12-16

How to Cite

Botsman А., Ponkratov, D., Roslavtsev, D., & Pavlov М. (2022). EVALUATION OF THE EQUIVALENT TRIP DISTANCE USING MICROMOBILITY AND PUBLIC TRANSIT ACCORDING TO THE TIME CRITERION. Municipal Economy of Cities, 6(173), 199–205. https://doi.org/10.33042/2522-1809-2022-6-173-199-205