Optimization of an online shared freight transportation service platform with the use of Conjoint Analysis

Abstract

The purpose of this paper is the optimization of an online shared freight transportation service platform with the use of Conjoint Analysis for the region of Balkan – Mediterranean. A Choice-Based Conjoint analysis was performed amongst the partners of the INTERREG Balkan-Med SCOPE project in order to optimize such a platform which is under development in the frame of the project. The results show that the best possible configuration of the platform should be offered at least in the local language, on a website, in the form of an auction platform, the charging should be done per shipment, and its range should be European / international. Moreover, selecting the right levels for each attribute is of crucial importance for the success of a freight transportation service platform, as the best configuration has a market share that is above 100% of the second-best configuration, according to the market simulation that was performed. Therefore, tools as Conjoint Analysis should be incorporated in the planning and design of such products in order to have the best marketable results for shippers, carriers, and consumers; a product that is customized according to their needs and preferences.

Disaggregate Modelling for Estimating Location Choice of Safe and Secure Truck Parking Areas: A Case Study

“…Conjoint analysis is widely used in transportation research [35][36][37][38]. The theory of conjoint analysis was introduced in 1964 and laid the foundation for the applied use of the method [39].…”

“…A rating-based Conjoint Analysis [42] was performed to gain insights on the preferred levels and attributes of truck parking areas. Each respondent evaluated potential profiles, each including levels of parking attributes linked together conjointly [37]. Based on the experience gained, the new conjoint model included 4 attributes and their levels, depending on the specific characteristics of the attribute (Table 1).…”

Evaluation of the functionality, safety, and environmental impact of the new pop-up bicycle lane on Konstantinos Karamanlis Avenue in Thessaloniki, Greece

“…This was a bad outcome for cycling in general and such experiments should not be repeated without proper planning. Optimization techniques could be used to construct cycling infrastructure according to the needs and wishes of the users, such as conjoint analysis [16][17] [18], Multi-Actor Multi-Criteria Analysis (MAMCA) [19] [20], or even simple multicriteria analysis [21][22] [23], cocreation techniques, etc., as cycling infrastructure is very important for the promotion of cycling.…”