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  4. The optimal dual-pricing policy of mall parking service
 
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The optimal dual-pricing policy of mall parking service

Journal
Transportation Research Part A: Policy and Practice
Journal Volume
70
Pages
223-243
Date Issued
2014
Author(s)
Chang C.-T.
Chung C.-K.
JIUH-BIING SHEU  
Zhuang Z.-Y.
Chen H.-M.
DOI
10.1016/j.tra.2014.10.012
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/472114
URL
https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84910677636&doi=10.1016%2fj.tra.2014.10.012&partnerID=40&md5=e5616e829291c6aa0aa11d01d1b78e33
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. © 2014 Elsevier Ltd.
Subjects
Analytical approach; Decision; Goal programming; Mall; Parking lot; Pricing
SDGs

[SDGs]SDG11

Other Subjects
Commerce; Decision support systems; Linear programming; Shopping centers; Analytical approach; Analytical decisions; Computational model; Consumer spendings; Decision; Goal programming; Parking lots; Simultaneous determinations; Costs; analytical method; decision making; parking; price determination; transportation economics; transportation infrastructure; transportation policy; urban transport; Taiwan
Type
journal article

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