Let's Connect
Follow Us
Watch Us
(+385) 1 2380 262
journal.prometfpz.unizg.hr
Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
13.06.2019
LICENSE
Copyright (c) 2024 Yajuan Deng, Ting Wang, Rui Ma

Acceptable Threshold of Parking Charges for Urban Electric Bicycles

Authors:Yajuan Deng, Ting Wang, Rui Ma

Abstract

Electric bicycles are one of the essential traffic modes in many cities in China. Due to the consideration on safety and efficiency of the urban transportation systems, it is recognized that the use of electric bicycles should be limited by shifting the demand towards public transit by imposing parking charges on electric bicycles. To plan for this, the travellers’ acceptance of parking charges must be taken into account. This paper proposes an acceptable threshold Logit model based on the non-compensation theory to calculate the threshold of the parking charge of electric bicycles. Electric bicycle trips are categorized into seven groups in terms of travel distances. The parking charges are of four discrete levels, from 0, 1, 2 to 3 yuan. Based on the survey data in the city of Handan, the traditional and acceptable threshold Nest-Logit models with the distance intervals and charges have been established and calibrated. Model calibration results show that the acceptable threshold Nest-Logit model is more accurate than the traditional Nest-Logit model, and the parking charge thresholds do exist. Specifically, within 3 km and outside 3 km the parking charge threshold is 1 yuan and 2 yuan, respectively. The parking charge thresholds can help in decision-making for parking pricing of electric bicycles.

Keywords:urban traffic, threshold, Nest-Logit model, electric bicycle, parking charge

References

  1. China Central Government. National Road Transportation Law; 2004.

    Qian Z-S, Xiao F-E, Zhang H-M. Managing morning commute traffic with parking. Transportation Research Part B: Methodological. 2012;46(7): 894-916. Available from: doi:10.1016/j.trb.2012.011

    Albert G, Mahalel D. Congestion tolls and parking fees: A comparison of the potential effect on travel behavior. Transport Policy. 2006;13(6): 496-502. Available from: doi:10.1016/j.tranpol.2006.05.007

    Hensher DA, King J. Parking demand and responsiveness to supply, pricing and location in the Sydney central business district. Transportation Research Part A: Policy and Practice. 2001;35(3): 177-196. Available from: doi:10.1016/S0965-8564(99)00054-3

    Pierce G, Shoup D. Getting the prices right: an evaluation of pricing parking by demand in San Francisco. Journal of the American Planning Association. 2013;79(1): 67-81. Available from: doi:10.1080/01944363.2013.787307

    Simićević J, Vukanović S, Milosavljević N. The effect of parking charges and time limit to car usage and parking behaviour. Transport Policy. 2013;30: 125-131. Available from: doi:10.1016/j.tranpol.2013.09.007

    Xiao H-H, Lu J, Ma Q, Wu Y, Lin Y-Q. Acceptability Analysis of Parking Charges Based on Structural Equation Model. Applied Mechanics and Materials. Trans Tech Publications. 2014;505: 1204-1210. Available from: doi:10.4028/www.scientific.net/AMM.505-506.1204

    Gillen DW. Effects of parking costs on urban transport modal choice. Transportation Research Record. 1977;637. Available from: http://worldcat.org/isbn/0309026644

    Wilson RW. Estimating the travel and parking demand effects of employer-paid parking. Regional Science and Urban Economics. 1992;22(1): 133-145. Available from: doi:10.1016/0166-0462(92)90029-Z

    Peng Z, Dueker K, Strathman J. Residential location, employment location, and commuter responses to parking charges. Transportation Research Record: Journal of the Transportation Research Board. 1996;1556: 109-118. Available from: doi:10.3141/1556-13

    Qin H, Guan H-Z, Yin H-H. A study of the effect of parking price on the mode of inhabitant trip behavior—with the cars, public transit and taxi in Beijing as an example. China Civil Engineering Journal. 2008;41(8): 93-98. Available from: doi:10.15951/j.tmgcxb.2008.08.003

    An S, Ma T-C, Yin J-R. Parking fee pricing model for urban cities in China. Journal of Harbin Institute of Technology. 2000;32(2): 65-69.

    Kishi K, Uchida KE, Satoh K. Price sensitivity of airfare from the viewpoint of passengers. Infrastructure Planning Review. 1999;16: 187-194. Available from: doi:10.2208/journalip.16.187

    Cantillo V, Amaya J, de Dios Ortúzar J. Thresholds and indifference in stated choice surveys. Transportation Research Part B: Methodological. 2010;44(6): 753-763. Available from: doi:10.1016/j.trb.2009.12.003

    Cantillo V, de Dios Ortúzar J. A semi-compensatory discrete choice model with explicit attribute thresholds of perception. Transportation Research Part B: Methodological. 2005;39(7): 641-657. Available from: doi:10.1016/j.trb.2004.08.002

    Cantillo V, Heydecker B, de Dios Ortúzar J. A discrete choice model incorporating thresholds for perception in attribute values. Transportation Research Part B: Methodological. 2006;40(9): 807-825. Available from: doi:10.1016/j.trb.2005.11.002

    Obermeyer A, Treiber M, Evangelinos C. Thresholds in choice behaviour and the size of travel time savings. arXiv preprint. arXiv:1402.3433, 2014. Available from: https://www.researchgate.net/publication/260211757

    Vreeswijk JD, van Berkum EC, van Arem B. Analysis of inertia thresholds based on real-world route choice data. Proceedings of the TRAIL Congress, 13 November 2014, Delft, Netherlands. Delft, Netherlands: TRAIL; 2014. p. 1-21.

    Huang S-S, Song R, Tao Y. Behavior of urban residents travel mode choosing and influencing factors: taking Beijing as an example. Communications Standardization. 2008;9: 124-128.

    Luo H-X. Study on locating and planning of urban public bike rental station. MS thesis. Beijing, Beijing Jiaotong University; 2013.

    Tversky A. Elimination by aspects: A theory of choice. Psycological Review. 1972;79(4): 281-299. Available from: doi:10.1037/h0032955

    Litman T. Transit price elasticities and cross-elasticities. Journal of Public Transportation. 2004;7(2): 37-58. Available from: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.1672

Show more


Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal