Technical Papers
Nov 26, 2021

Impact of Shared Parking in the Central Business District on Real Estate Value Appreciation

Publication: Journal of Urban Planning and Development
Volume 148, Issue 1

Abstract

Shared parking, as an important means of revitalizing static traffic facilities, has received widespread attention from all walks of life. At the microlevel, this paper analyzes a total of more than one million parking data points (including the license plate information of each vehicle, the time of entering and leaving the parking lot, the parking time and the parking fee, and so on) in Chongqing, studies the change cycle and change characteristics of the data, and draws the conclusion that the traffic volumes of office buildings and shopping malls are significantly different on weekdays and weekends. Based on the performed analysis, this paper establishes a supply-and-demand-based appreciation model to project the impact of the implementation of shared parking on real estate value appreciation. The calculation results show that the implementation of shared parking can increase the value of the parking lot studied in the example by 17% of its original value. Although the model established in this article is aimed at the sharing of parking spaces between an office building in the city’s central business district and the surrounding shopping mall, it can also be extended and applied to the evaluation of parking space sharing between general buildings. Overall, this paper provides effective methods into revitalizing parking space resources to ease urban traffic congestion.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
This study was supported by the National Natural Science Foundation of China (Grant No. 71473179).

References

Alemi, F., C. Rodier, and C. Drake. 2018. “Cruising and on-street parking pricing: A difference-in-difference analysis of measured parking search time and distance in San Francisco.” Transp. Res. Part A Policy Pract. 111: 187–198. https://doi.org/10.1016/j.tra.2018.03.007.
Arnott, R., and E. Inci. 2006. “An integrated model of downtown parking and traffic congestion.” J. Urban Econ. 60 (3): 418–442. https://doi.org/10.1016/j.jue.2006.04.004.
Boyles, S. D., S. Tang, and A. Unnikrishnan. 2015. “Parking search equilibrium on a network.” Transp. Res. Part B Methodol. 81: 390–409. https://doi.org/10.1016/j.trb.2014.09.017.
Caicedo, F. 2010. “Real-time parking information management to reduce search time, vehicle displacement and emissions.” Transp. Res. Part D Transp. Environ. 15 (4): 228–234. https://doi.org/10.1016/j.trd.2010.02.008.
Chrest, A. P., M. S. Smith, S. Bhuyan, M. Lqbal, and D. R. Monahan. 2001. Parking structure: Planning, design, construction, maintenance and repair. 3rd ed. Norwell, MA: Kluwer Academic Publishers.
Christiansen, P., Ø Engebretsen, N. Fearnley, and J. Usterud Hanssen. 2017. “Parking facilities and the built environment: Impacts on travel behaviour.” Transp. Res. Part A Policy Pract. 95: 198–206. https://doi.org/10.1016/j.tra.2016.10.025.
Dave, S. M., G. J. Joshi, K. Ravinder, and N. Gore. 2019. “Data monitoring for the assessment of on-street parking demand in CBD areas of developing countries.” Transp. Res. Part A Policy Pract. 126: 152–171. https://doi.org/10.1016/j.tra.2019.05.009.
Duan, M., Z. Yang, L. Zhang, and D. Yu. 2015. “Residential parking spaces shared capability assessment model.” J. Transp. Syst. Eng. Inf. Technol. 15: 106–117.
Duffus, L. N., A. S. Alfa, and A. H. Soliman. 1987. “The reliability of using the gravity model for forecasting trip distribution.” Transportation 14 (3): 175–192. https://doi.org/10.1007/BF00837528.
Franco, S. F. 2017. “Downtown parking supply, work-trip mode choice and urban spatial structure.” Transp. Res. Part B Methodol. 101: 107–122. https://doi.org/10.1016/j.trb.2017.03.012.
Gallo, M., L. D’Acierno, and B. Montella. 2011. “A multilayer model to simulate cruising for parking in urban areas.” Transp. Policy 18 (5): 735–744. https://doi.org/10.1016/j.tranpol.2011.01.009.
Guo, W., Y. Zhang, M. Xu, Z. Zhang, and L. Li. 2016. “Parking spaces repurchase strategy design via simulation optimization.” J. Intell. Transp. Syst. 20 (3): 255–269. https://doi.org/10.1080/15472450.2015.1063424.
Kaspi, M., T. Raviv, and M. Tzur. 2014. “Parking reservation policies in one-way vehicle sharing systems.” Transp. Res. Part B Methodol. 62: 35–50. https://doi.org/10.1016/j.trb.2014.01.006.
Lam, W. H. K., Z.-C. Li, H.-J. Huang, and S. C. Wong. 2006. “Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities.” Transp. Res. Part B Methodol. 40 (5): 368–395. https://doi.org/10.1016/j.trb.2005.05.003.
Liang, J.-K., T. Eccarius, and C.-C. Lu. 2019. “Investigating factors that affect the intention to use shared parking: A case study of Taipei City.” Transp. Res. Part A Policy Pract. 130: 799–812. https://doi.org/10.1016/j.tra.2019.10.006.
Liu, W., and N. Geroliminis. 2016. “Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach.” Transp. Res. Part B Methodol. 93: 470–494. https://doi.org/10.1016/j.trb.2016.08.004.
Liu, W., H. Yang, and Y. Yin. 2014. “Expirable parking reservations for managing morning commute with parking space constraints.” Transp. Res. Part C Emerging Technol. 44: 185–201. https://doi.org/10.1016/j.trc.2014.04.002.
Ma, R., and H. M. Zhang. 2017. “The morning commute problem with ridesharing and dynamic parking charges.” Transp. Res. Part B Methodol. 106: 345–374. https://doi.org/10.1016/j.trb.2017.07.002.
McCourt, R. S. 2004. Parking generation. 3rd ed. Washington, DC: National Academies of Sciences, Engineering, and Medicine.
Nie, Y. M., and Y. Liu. 2010. “Existence of self-financing and Pareto-improving congestion pricing: Impact of value of time distribution.” Transp. Res. Part A Policy Pract. 44 (1): 39–51. https://doi.org/10.1016/j.tra.2009.09.004.
Olus Inan, M., E. Inci, and C. Robin Lindsey. 2019. “Spillover parking.” Transp. Res. Part B Methodol. 125: 197–228. https://doi.org/10.1016/j.trb.2019.05.012.
Pel, A. J., and E. Chaniotakis. 2017. “Stochastic user equilibrium traffic assignment with equilibrated parking search routes.” Transp. Res. Part B Methodol. 101: 123–139. https://doi.org/10.1016/j.trb.2017.03.015.
Qian, Z. S., and R. Rajagopal. 2014. “Optimal occupancy-driven parking pricing under demand uncertainties and traveler heterogeneity: A stochastic control approach.” Transp. Res. Part B Methodol. 67: 144–165. https://doi.org/10.1016/j.trb.2014.03.002.
Qian, Z. S., F. E. Xiao, and H. M. Zhang. 2011. “The economics of parking provision for the morning commute.” Transp. Res. Part A Policy Pract. 45 (9): 861–879. https://doi.org/10.1016/j.tra.2011.04.017.
Qian, Z. S., F. E. Xiao, and H. M. Zhang. 2012. “Managing morning commute traffic with parking.” Transp. Res. Part B Methodol. 46 (7): 894–916. https://doi.org/10.1016/j.trb.2012.01.011.
Shao, C., H. Yang, Y. Zhang, and J. Ke. 2016. “A simple reservation and allocation model of shared parking lots.” Transp. Res. Part C Emerging Technol. 71: 303–312. https://doi.org/10.1016/j.trc.2016.08.010.
Shen, T., Y. Hong, M. M. Thompson, J. Liu, X. Huo, and L. Wu. 2020. “How does parking availability interplay with the land use and affect traffic congestion in urban areas? The case study of Xi’an, China.” Sustainable Cities Soc. 57: 102126. https://doi.org/10.1016/j.scs.2020.102126.
Smith, M. S. 2005. Shared parking. Washington, DC: Urban Land Institute Methodology.
Soto, J. J., L. Márquez, and L. F. Macea. 2018. “Accounting for attitudes on parking choice: An integrated choice and latent variable approach.” Transp. Res. Part A Policy Pract. 111: 65–77. https://doi.org/10.1016/j.tra.2018.03.003.
Su, Q., and D. Z. W. Wang. 2019. “Morning commute problem with supply management considering parking and ride-sourcing.” Transp. Res. Part C Emerging Technol. 105: 626–647. https://doi.org/10.1016/j.trc.2018.12.015.
Tasseron, G., and K. Martens. 2017. “Urban parking space reservation through bottom-up information provision: An agent-based analysis.” Comput. Environ. Urban Syst. 64: 30–41. https://doi.org/10.1016/j.compenvurbsys.2017.01.002.
Wang, H., R. Li, X. C. Wang, and P. Shang. 2020. “Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning.” Transp. Res. Part A Policy Pract. 137: 65–78. https://doi.org/10.1016/j.tra.2020.04.003.
Xiao, H., M. Xu, and Z. Gao. 2018. “Shared parking problem: A novel truthful double auction mechanism approach.” Transp. Res. Part B Methodol. 109: 40–69. https://doi.org/10.1016/j.trb.2018.01.008.
Xiao, H., M. Xu, and H. Yang. 2020. “Pricing strategies for shared parking management with double auction approach: Differential price vs. uniform price.” Transp. Res. Part E Logist. Transp. Rev. 136: 101899. https://doi.org/10.1016/j.tre.2020.101899.
Xu, S. X., M. Cheng, X. T. R. Kong, H. Yang, and G. Q. Huang. 2016. “Private parking slot sharing.” Transp. Res. Part B Methodol. 93: 596–617. https://doi.org/10.1016/j.trb.2016.08.017.
Zhang, F., W. Liu, X. Wang, and H. Yang. 2020a. “Parking sharing problem with spatially distributed parking supplies.” Transp. Res. Part C Emerging Technol. 117: 102676. https://doi.org/10.1016/j.trc.2020.102676.
Zhang, W., F. Gao, S. Sun, Q. Yu, J. Tang, and B. Liu. 2020b. “A distribution model for shared parking in residential zones that considers the utilization rate and the walking distance.” J. Adv. Transp. 2020: 1–11.
Zhang, X., H.-J. Huang, and H. M. Zhang. 2008. “Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city.” Transp. Res. Part B Methodol. 42 (1): 38–56. https://doi.org/10.1016/j.trb.2007.06.001.
Zou, B., N. Kafle, O. Wolfson, and J. J. Lin. 2015. “A mechanism design based approach to solving parking slot assignment in the information era.” Transp. Res. Part B Methodol. 81: 631–653. https://doi.org/10.1016/j.trb.2015.05.015.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 148Issue 1March 2022

History

Received: Apr 27, 2021
Accepted: Sep 2, 2021
Published online: Nov 26, 2021
Published in print: Mar 1, 2022
Discussion open until: Apr 26, 2022

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Authors

Affiliations

Associate Professor, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., 4800 Cao’an Rd., Jiading, Shanghai 201804, China. Email: [email protected]
Wenlong Ding [email protected]
Graduate Research Assistant, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., 4800 Cao’an Rd., Jiading, Shanghai 201804, China. Email: [email protected]
Xueyang Gong [email protected]
Graduate Research Assistant, School of Economics and Management, Tongji Univ., 1500 Siping Rd., Yangpu, Shanghai 200092, China. Email: [email protected]
Xiaoxiang Ma [email protected]
Associate Professor, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong Univ., Chengdu 611756, China. Email: [email protected]
Daizhong Tang [email protected]
Associate Professor, School of Economics and Management, Tongji Univ., 1500 Siping Rd., Yangpu, Shanghai 200092, China (corresponding author). Email: [email protected]

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Cited by

  • Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System, Future Internet, 10.3390/fi15030089, 15, 3, (89), (2023).
  • Sectoral Conditions for the Ownership and Rental of Corporate Real Estate, Production Engineering Archives, 10.30657/pea.2022.28.41, 28, 4, (325-335), (2022).

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