The optimal dual-pricing policy of mall parking service |
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| Institution: | 1. School of Computer and Computing Science, City College, Zhejiang University, 51 Huzhou Street, Hangzhou, Zhejiang 310015, China;2. The Graduate Institute of Business Management, Management College, Chang Gung University, 259 Wen-Hwa 1st Rd., Kwei-Shan, Tao-Yuan 333, Taiwan;3. Department of Business Administration, College of Management, National Taiwan University, 1 Roosevelt Rd. Sec. 4, Taipei City 106, Taiwan;4. Department of Information Management, Management College, National Defense University, 70 Zhongyang North Rd. Sec. 2, Taipei City 112, Taiwan;5. Department of Business and Management, Ming Chi University of Technology, 84 Gungjuan Rd., Taishan, New Taipei City 24301, Taiwan;1. Lowell Observatory, 1400 W. Mars Hill Rd., Flagstaff, AZ 86001, United States;2. Planetary Science Institute, 1700 E. Fort Lowell, Suite 106, Tucson, AZ 85719, United States;3. Moving to Southwest Research Institute, 1050 Walnut St. #300, Boulder, CO 80302, United States;4. NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States;1. Department of Quantum Electronics & Photonics, National Research Tomsk State University, Tomsk, Russia;2. Academician V.D. Kuznetsov׳s Siberian Physical–Technical R&D Institute, Tomsk, Russia;3. V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia |
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| Abstract: | In studies of parking policy, the role of parking pricing has been addressed. Most researches have focused on the determination of a proper price for city parking spaces that are open to the public and it is now evident that price is used by authorities as a tool to manage transport demand. However, studies of parking pricing that pertain to privately-owned parking resources are few and in particular, the problem of setting a proper price for physical market parking has rarely been studied, such as a mall’s ‘dual-pricing portfolio’ decision for the simultaneous determination of a parking fee and the consumer spending required for free parking (i.e., the ‘threshold’). This is a common problem for most malls, but the different agents involved (e.g., the visitors, the mall, the marketplace and the parking lot departments) usually have diverse goals, so the decision must take account of a multiplicity of criteria and subtle relationships. In order to systematically support this type of inter-departmental decision process, a decision model that includes an analytical decision-aid process and the relevant programming models is established. A numerical example verifies the proposed model by taking the data for a mall in Taiwan and the implications, in terms of management, are given. This systematic computational model can be generalized to any type of commercial market that requires a (new) parking pricing policy. |
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| Keywords: | Pricing Decision Parking lot Mall Analytical approach Goal programming |
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