Dynamic pricing for reservation-based parking system: A revenue management method

Abstract With the improvement of urban smart level, parking reservation has become not only one of the most effective ways to solve parking problems but also an efficient tool to reduce traffic congestion in eliminating the cruising. This paper proposes a new dynamic pricing model for parking reservation, aiming to maximize the expected revenue of the parking manager. The parking requests arrive as a Poisson process, and the arrival intensity is influenced by the time-varying parking price. The optimal pricing scheme is proved to be unique for any general demand and derived in closed form for some particular types of demand functions, like exponential and linear. Numerical examples show that the dynamic pricing scheme can provide significant improvement in revenue and make full use of the parking resources during peak periods.

[1]  Stephen D. Boyles,et al.  Parking Search Equilibrium on a Network , 2015 .

[2]  Ludovic Leclercq,et al.  Dynamic macroscopic simulation of on-street parking search: A trip-based approach , 2017 .

[3]  G. Ryzin,et al.  Optimal dynamic pricing of inventories with stochastic demand over finite horizons , 1994 .

[4]  Stephen D. Clark,et al.  Modelling network travel time reliability under stochastic demand , 2005 .

[5]  Fang He,et al.  Pricing of parking games with atomic players , 2015 .

[6]  Yanfeng Ouyang,et al.  Parking Space Management via Dynamic Performance-Based Pricing , 2015, ArXiv.

[7]  Feng Xiao,et al.  The economics of parking provision for the morning commute , 2011 .

[8]  Nikolaos Geroliminis,et al.  Cruising-for-parking in congested cities with an MFD representation , 2015 .

[9]  Mei-Ting Tsai,et al.  Evaluating parking reservation policy in urban areas: An environmental perspective , 2012 .

[10]  Ram Rajagopal,et al.  Optimal dynamic pricing for morning commute parking , 2015 .

[11]  Serge A. Plotkin,et al.  Routing and admission control in general topology networks with Poisson arrivals , 1995, SODA '96.

[12]  John G. Rowse,et al.  Downtown parking in auto city , 2009 .

[13]  Qiong Tian,et al.  The optimal searching strategies of curbside parking with schedule delay penalties , 2016 .

[14]  Shing Chung Josh Wong,et al.  Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities , 2006 .

[15]  Emmanouil Chaniotakis,et al.  Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment , 2015 .

[16]  Ouri Wolfson,et al.  A mechanism design based approach to solving parking slot assignment in the information era , 2015 .

[17]  Nikolas Geroliminis,et al.  Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing , 2015 .

[18]  Ram Rajagopal,et al.  Optimal dynamic parking pricing for morning commute considering expected cruising time , 2014 .

[19]  Rong Zhang,et al.  Curbside parking pricing in a city centre using a threshold , 2016 .

[20]  Kian Ahmadi Azari,et al.  Modelling demand under parking and cordon pricing policy , 2013 .

[21]  Hai-Jun Huang,et al.  Pricing and mode choice based on nested logit model with trip-chain costs , 2015 .

[22]  Xiaoning Zhang,et al.  Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city , 2008 .

[23]  D. Shoup.  Cruising for Parking , 2006 .

[24]  D. Shoup.  The High Cost of Free Parking , 1997 .

[25]  Ram Rajagopal,et al.  Optimal occupancy-driven parking pricing under demand uncertainties and traveler heterogeneity: A stochastic control approach , 2014 .

[26]  John G. Rowse,et al.  Downtown Curbside Parking Capacity , 2013, SSRN Electronic Journal.