| Issue |
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
|
|
|---|---|---|
| Article Number | 10004 | |
| Number of page(s) | 5 | |
| Section | Resilience Infrastucture and Society, Transportation System, Smart Structure and Construction, Sustainability Infrastructure | |
| DOI | https://doi.org/10.1051/e3sconf/202132810004 | |
| Published online | 06 December 2021 | |
The Sensitifity and Elastisity Model Approch to The Probality of Wooden Boat Route Selection in Archipelago Area
1 Master Degree Program, Department of Civil Engineering, Universitas Khairun, Indonesia
2 Department of Civil Engineering, Faculty of Engineering, Universitas Khairun, Ternate, Indonesia
* Corresponding author: boesthamien @gmail.com
This study aims to analyze the effect of travel costs Wooden Boat, travel time, delay time and service frequency on the selection of wooden ship routes using the stated preference method. Two variables, dependent and independent variables were analyzed using linear regression analysis, correlation and sensitivity model. From the results of the sensitivity analysis, the travel cost of attribute variable is the most sensitive to the probability of route selection is travel time. The changes of travel time will changes the probability of choosing a route which relatively largerer than changes the other attributes. For the elasticity analysis of the model for each attribute resulted the probability of choosing route 2 is more sensitive than route 1. This is indicated by the cross elasticity value which is greater than the direct elasticity value. The direct elasticity values for the attributes of cost, travel time, delay time, and service level are -0.5248, - 0.1667, -0.0845, and 0.1182 respectively. Meanwhile, the cross-elasticity values for the attributes of cost, travel time, delay time, and service level are -0.6477, -0.3979, -0.2016, and 0.2821
Key words: Wooden Ship Routes / Sensitifity Model / Elastisity Analysis
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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