Abstract
Powerful parking management approaches are vital in metropolitan areas where parking resource is limited and congestion is severe. To date, parking pricing is considered as an efficient tool for improving parking management by moderating parking demand. Hence, this paper proposes a parking charging method involving both the parking demand and supply. We aggregate the individual parking behaviors into the parking demand and consider the trade-offs between multiple parking behaviors. Then, a maximization problem is formulated to fulfill the benefits of parking demand as well as stabilizing parking supply. The results of case study indicate that the share of parking patterns has shifted positively, and an increment in the total benefit of respondents (5.00%) is obtained. Considering parking dynamics, the proposed method can serve as an effective and feasible manner to equilibrate spatial and temporal distribution of parking demand thereby alleviating parking pressure. This study also makes a methodological contribution to parking pricing policy design.
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References
Amer, A., Chow, J.Y.: A downtown on-street parking model with urban truck delivery behavior. Transp. Res. Part a: Policy Pract. 102, 51–67 (2017)
Caicedo, F.: Charging parking by the minute: What to expect from this parking pricing policy? Transp. Policy. 19, 63–68 (2012)
Change, C.T., Chung, C.K., Sheu, J.B., Zhuang, Z.Y., Chen, H.M.: The optimal dual-pricing policy of mall parking service. Transp. Res. Part a: Policy Pract. 70, 223–243 (2014)
Chen, X.Q., Zhang, L., He, X., Xiong, C.F.: Simulation-based pricing optimization for improving network-wide travel time reliability. Transportmetrica a: Trans. Sci. 14, 155–176 (2018)
Ding, C., Cao, X.Y.: How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model. J. Trans. Geo. 75, 37–45 (2019)
Ding, C., Wang, Y.P., Tang, T.Q., Mishra, S., Liu, C.: Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice. Transp. Res. Part D: Trans. Environ. 60, 28–40 (2018a)
Ding, C., Cao, X.Y., Wang, Y.P.: Synergistic effects of the built environment and commuting programs on commute mode choice. Transp. Res. Part a: Policy Pract. 18, 104–118 (2018b)
Fosgeraua, M., de Palma, A.: The dynamics of urban traffic congestion and the price of parking. J. Public Econ. 105, 106–115 (2013)
Glazer, A., Niskanen, K.: Parking fees and congestion. Reg. Sci. and Urban Econ. 22, 123–132 (1992)
Hensher, D.A., King, J.: Parking demand and responsiveness to supply, pricing and location in the Sydney central business district”. Transp. Res. a: Policy Pract. 35, 177–196 (2001)
McFadden, D.L.: Conditional logit analysis of qualitative choice behavior. (1972).
Migliorea, M., Burgioa, A.L., Giovannaa, M.D.: Parking pricing for a sustainable transport system. Transp. Res. Procedia. 3, 403–412 (2014)
Azari, K.A., Arintono, S., Hamid, H., Rahmat, R.A.O.: Modelling demand under parking and cordon pricing policy. Transp. Policy. 25, 1–9 (2013)
Nourinejad, M., Roorda, M.J.: Parking enforcement policies for commercial vehicles. Transp. Res. Part a: Policy Pract. (2016). https://doi.org/10.1016/j.tra.2016.04.007
Ottosson, D.B., Chen, C., Wang, T.T., Lin, H.: The sensitivity of on-street parking demand in response to price changes: a case study in Seattle. WA. Transp. Policy. 25, 222–232 (2013)
Petiot, R.: Parking enforcement and travel demand management. Transp. Policy. 11, 399–411 (2004)
Piccioni, C., Valtorta, M., Musso, A.: Investigating effectiveness of on-street parking pricing schemes in urban areas: an empirical study in Rome”. Transp. Policy. 80, 136–147 (2019)
Pierce, G., Shoup, D.: Getting the prices right: an evaluation of pricing parking by demand in San Francisco. J. Am. Plan. Assoc. 79, 67–81 (2013)
Proost, S., Sen, A.: Urban transport pricing reform with two levels of government: a case study of Brussels. Transp. Policy. 13, 127–139 (2016)
Pu, Z., Li, Z., Ash, J., Zhu, W., Wang, Y.: Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change. Transp. Res. Part C: Emer. Technol. 77, 67–79 (2017)
Qian, Z., Rajagopal, R.: Optimal parking pricing in general networks with provision of occupancy information. Procedia Soc. Behav. Sci. 80, 779–805 (2013)
Rao: Pricing research in marketing: the state of the Art. J. Bus. 57, 39–60 (1984)
2018 Beijing Transport Annual Report. Beijing Transport Institute, China, 2018.
Schmidt, P., Strauss, R.: The prediction of occupation using multinomial logit models. Int. Econ. Rev. 16, 471–486 (1975)
Schulz, M.: Control Theory. In Physics And Other Fields Of Science. Berlin Heidelberg (2006).
Shoup, D.: Cashing out employer-paid parking: A precedent for congestion pricing? Transport. Res. Board Special Rep. 242, 152–199 (1994)
Sykes, P., Grontmij, F., Bradley, R., Jennings, G., McDonnell, G.: Planning urban car park provision using microsimulation. Traffic Eng. & Control. 51, 1–10 (2010)
Tsai, J.F., Chu, C.P.: Economic analysis of collecting parking fees by a private firm. Transp. Res. Part a: Policy Pract. 40, 690–697 (2006)
Wang, T.T., Chen, C.: Attitudes, mode switching behavior, and the built environment: a longitudinal study in the puget sound region. Transp. Res. Part a: Policy Pract. 46, 1594–1607 (2012)
Wang, F.L., Chen, C.: On data processing required to derive mobility patterns from passively-generated mobile phone data. Transp. Res. Part C: Emer. Tech. 87, 58–74 (2018)
Wang, H., Li, R., Wang, X.K., Shang, P.: Effect of on-street parking pricing policies on parking characteristics: a case study of Nanning. Transp. Res. Part a: Policy Pract. 137, 65–78 (2020)
Yan, X., Levine, J., Marans, R.: The effectiveness of parking policies to reduce parking demand pressure and car use. Transp. Policy. 73, 41–50 (2019)
Zakharenko, R.: The time dimension of parking economics. Transp. Res. Part B: Method. 91, 211–228 (2016)
Zheng, N., Geroliminis, N.: Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing. Transp. Res. Part B: Method. 83, 36–58 (2016)
Zheng, H.Y., Chen, X.W., Chen, X.Q.: How does on-demand ridesplitting influence vehicle use and purchase willingness? A case Study in Hangzhou China. IEEE Intell. Transp. Sys. Magazine. 11, 143–157 (2019)
Zhu, X., Wang, F.L., Chen, C., Reed, D.D.: Personalized incentives for promoting sustainable traveler behaviors. Transp. Res. Part C: Emer. Tech. 113, 314–331 (2020)
Zong, F., He, Y.N., Yuan, Y.X.: Dependence of parking pricing on land use and time of day. Sustainability. 7, 9587–9607 (2015)
Zong, F., Yu, P., Tang, J.J., Sun, X.: Understanding parking decisions with structural equation modeling. Physica a. 523, 408–417 (2019)
Zong, F., Zeng, M., Lv, J.Y., Wang, C.Y.: A credit charging scheme incorporating carpool and carbon emissions. Transp. Res. Part D: Transp. Environ. 94, 102111 (2021)
Acknowledgements
We wish to express our sincere thanks to the editor and the anonymous reviewer for the thorough and constructive comments on the paper. The research is funded by the National Natural Science Foundation of China (52272349 and U21B2090).
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Methodology: MZ; Formal analysis and investigation: FZ and PY; Writing—original draft preparation: MZ; Writing—review and editing: MZ and FZ, Funding acquisition: FZ, Supervision: PY.
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Appendix
Appendix
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(1)
The calculation of parking facility cost
In this paper, the on-street parking facility cost is expressed in (19), which is comprised of the land price range, the road-usage cost and the corresponding taxes.
The off-street parking facility cost in this paper includes the annual expenditures, social cost and other cost like cost of parking enforcement.
where the time distribution function of each off-street parking facility cost \({C}_{\mathrm{spo},i}^{\mathrm{off}}(t)\) can be expressed as follows:
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(2)
The calculation of average parking rate per trip in the parking pattern i (Ri):
$${R}_{1}=\frac{{r}_{1}^{\mathrm{fh}}}{{H}_{1}}+\frac{{H}_{1}-1}{{H}_{1}}{r}_{1}^{\mathrm{nfh}}$$(22)$${R}_{2}=\frac{{\delta }_{\mathrm{P}/\mathrm{OP}}}{{H}_{2}}{r}_{1}^{\mathrm{fh}}+\frac{{H}_{2}-1}{{H}_{2}}{\delta }_{\mathrm{P}/\mathrm{OP}}{r}_{1}^{\mathrm{nfh}}$$(23)$${R}_{3}=\frac{{\delta }_{\mathrm{S}/\mathrm{OS}}}{{H}_{3}}{r}_{1}^{\mathrm{fh}}+\frac{{H}_{3}-1}{{H}_{3}}{\delta }_{\mathrm{S}/\mathrm{OS}}{r}_{1}^{\mathrm{nfh}}$$(24)$${R}_{4}=\frac{{\delta }_{\mathrm{S}/\mathrm{OS}}{\delta }_{\mathrm{P}/\mathrm{OP}}}{{H}_{4}}{r}_{1}^{\mathrm{fh}}+\frac{{H}_{4}-1}{{H}_{4}}{\delta }_{\mathrm{S}/\mathrm{OS}}{\delta }_{\mathrm{P}/\mathrm{OP}}{r}_{1}^{\mathrm{nfh}}$$(25)$${R}_{5}=\frac{{\delta }_{\mathrm{C}/\mathrm{NC}}}{{H}_{5}}{r}_{1}^{\mathrm{fh}}+\frac{{H}_{5}-1}{{H}_{5}}{\delta }_{\mathrm{C}/\mathrm{NC}}{r}_{1}^{\mathrm{nfh}}$$(26)$${R}_{6}=\frac{{\delta }_{\mathrm{C}/\mathrm{NC}}{\delta }_{\mathrm{P}/\mathrm{OP}}}{{H}_{6}}{r}_{1}^{\mathrm{fh}}+\frac{{H}_{6}-1}{{H}_{6}}{\delta }_{\mathrm{C}/\mathrm{NC}}{\delta }_{\mathrm{P}/\mathrm{OP}}{r}_{1}^{\mathrm{nfh}}$$(27)$${R}_{7}=\frac{{\delta }_{\mathrm{C}/\mathrm{NC}}{\delta }_{\mathrm{S}/\mathrm{OS}}}{{H}_{7}}{r}_{1}^{\mathrm{fh}}+\frac{{H}_{7}-1}{{H}_{7}}{\delta }_{\mathrm{C}/\mathrm{NC}}{\delta }_{\mathrm{S}/\mathrm{OS}}{r}_{1}^{\mathrm{nfh}}$$(28)$$ R_{8} = \frac{{\delta_{{{\text{C}}/{\text{NC}}}} \delta_{{{\text{S}}/{\text{OS}}}} \delta_{{{\text{P}}/{\text{OP}}}} }}{{H_{8} }}r_{1}^{{{\text{fh}}}} + \frac{{H_{8} - 1}}{{H_{8} }}\delta_{{{\text{C}}/{\text{NC}}}} \delta_{{{\text{S}}/{\text{OS}}}} \delta_{{{\text{P}}/{\text{OP}}}} r_{1}^{{{\text{nfh}}}} $$(29)
(3) The calculation of (17)
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Zong, F., Zeng, M. & Yu, P. A parking pricing scheme considering parking dynamics. Transportation (2023). https://doi.org/10.1007/s11116-022-10370-0
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DOI: https://doi.org/10.1007/s11116-022-10370-0