scholarly journals Container slot allocation and dynamic pricing considering overbooking and market segmentation

2021 ◽  
Vol 638 (1) ◽  
pp. 012026
Author(s):  
Mingzhu Yu ◽  
Jiajing Liao
Keyword(s):  
Market Segmentation ◽  
Dynamic Pricing ◽  
Slot Allocation

scholarly journals Container Slot Allocation for Time-Sensitive Cargo in Maritime Transportation: A One-Phase Model with consideration of Port Congestion

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qi Yao ◽  
Lu Xu ◽  
Qin Zhang
Keyword(s):  
Dynamic Pricing ◽  
Solution Algorithm ◽  
Maritime Transportation ◽  
Slot Allocation ◽  
Allocation Model ◽  
Numerical Examples ◽  
Proposed Model ◽  
Points Of View ◽  
Port Congestion ◽  
Pricing Pattern

This paper studies a container slot allocation problem with dynamic pricing for time-sensitive cargo considering port congestion. Time-sensitive cargo calls for express delivery as soon as possible, and hence a new pricing pattern is proposed considering port congestion. To solve the slot allocation with dynamic pricing issue, a one-phase allocation model which is from different points of view on slot allocation strategy is proposed to formulate this problem. Finally, numerical examples are carried out to test the applicability of the proposed model and solution algorithm.

Good fences make good revenue: An examination of revenue management practices at peer-to-peer accommodations

2019 ◽  
Vol 26 (7) ◽  
pp. 1108-1128 ◽  
Author(s):  
Yoon Koh ◽  
Amanda Belarmino ◽  
Min Gyung Kim
Keyword(s):  
Revenue Management ◽  
Market Segmentation ◽  
Dynamic Pricing ◽  
Management Practices ◽  
The United States ◽  
Peer To Peer ◽  
Current State ◽  
Daily Data ◽  
Shed Light ◽  
Host Characteristics

While hotel revenue managers utilize tools such as pricing, market segmentation, rate fences, and forecasting to maximize revenue, hosts in peer-to-peer (P2P) accommodations often have limited knowledge and lack the sophisticated pricing tools. Despite online resources for revenue management available, there has yet to be an examination regarding how widely spread these practices are in the P2P accommodation segment. Based on daily best available rates and booking restrictions information for P2P accommodations listed on Airbnb from top 10 cities with highest room inventories in the United States, this study aims to shed light on the current state of revenue management adoption on Airbnb. Utilizing a total of 307,955 Airbnb property’s daily data for 32 months, this study found that there are significant differences in revenue management practices by host characteristics (multi-unit hosts vs. single-unit hosts: Superhosts vs. non-Superhosts) for three revenue management tactics: dynamic pricing, minimum night’s stay, and restricted cancellation, and the hosts practices changes as their experience accumulates.

Dynamic pricing and market segmentation responses to low-cost carrier entry

2017 ◽  
Vol 98 ◽  
pp. 151-170 ◽  
Author(s):  
Rafael R. Varella ◽  
Jessica Frazão ◽  
Alessandro V.M. Oliveira
Keyword(s):  
Market Segmentation ◽  
Dynamic Pricing ◽  
Low Cost ◽  
Low Cost Carrier

Dynamic Pricing bei strategischem Konsumentenverhalten

2014 ◽  
Vol 43 (6) ◽  
pp. 292-297
Author(s):  
Jochen Gönsch ◽  
Michael Neugebauer ◽  
Claudius Steinhardt
Keyword(s):  
Dynamic Pricing
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