INFLUENCING FACTORS OF SHIPPER’S PORT CHOICE DECISION

2020 ◽  
Vol 7 (8) ◽  
Keyword(s):  
Influencing Factors ◽  
Choice Decision ◽  
Port Choice

scholarly journals A PROBABILISTIC CELLULAR AUTOMATON TO FORECAST PORT CHOICE DECISIONS

Transport ◽  
2018 ◽  
Vol 33 (3) ◽  
pp. 801-809
Author(s):  
Mabel A. Leva ◽  
Alejandro Leon ◽  
Rodrigo A. Garrido ◽  
Angel Ibeas
Keyword(s):  
Cellular Automaton ◽  
Choice Model ◽  
Geographical Location ◽  
Modelling Framework ◽  
Choice Decision ◽  
Port Choice ◽  
Spatio Temporal ◽  
High Degree ◽  
Temporal Interactions ◽  
Selection Of

The port choice problem consists in predicting the selection of a port, made by an agent who has alternatives to choose from. Most of the literature has tackled this problem assuming a discrete choice model dependent on the ports’ characteristics and agents’ attributes. However, in practice the port choice decision depends also on the choices made by other agents as well as decisions made by these agents in the past. There are only a few examples that incorporate the complexity generated by spatio-temporal interactions between agents. However, those modelling structures are rather cumbersome, precluding their use in practical cases. This article presents a new modelling framework to predict port choice decisions, based on the theory of Cellular Automaton (CA), which is simple in structure and can be quickly calibrated and applied. This framework is a probabilistic CA intended to imitate the decision processes made from multiple shippers that interact with each other. These shippers face similar alternatives of seaports for exporting their products within a certain time span. The port choice here is a dynamic decision that depends on the ports’ characteristics and attributes of each shipper at a given time, as well as the decisions made by their neighbours. The outcome of the interaction is a discrete decision that evolves in time according to the dynamics of the system as a whole. The specified CA was applied to the case of vehicle exports from Brazil and the calibration was performed through a genetic algorithm. The results show that the probabilistic CA is able to replicate the historic behaviour of the port choice decisions in the Brazilian vehicle industry, with a high degree of success. The spatial component of the CA turned out to be of major relevance in the dynamic decision process along with the attributes and geographical location of ports.

POSSIBLE INFLUENCING FACTORS OF BOWEL CLEANLINESS DURING COLONOSCOPY

2018 ◽  
Author(s):  
I Iozsef ◽  
O Ilyés ◽  
P Miheller ◽  
AV Patai
Keyword(s):  
Influencing Factors

Reliability-Based Assessment of the Truck Safe Following Distance Considering Multiple Influencing Factors

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Bowen Dong ◽  
Wenjun Du ◽  
Feng Chen ◽  
Qi Deng ◽  
Xiaodong Pan
Keyword(s):  
Influencing Factors

Entrepreneurial Mindset

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Nusa FAIN ◽  
Michel ROD ◽  
Erik BOHEMIA
Keyword(s):  
Influencing Factors ◽  
Future Study ◽  
Engineering Students ◽  
Initial Study ◽  
Longitudinal Survey ◽  
Teaching Approaches ◽  
Approaches To Teaching ◽  
Design Students ◽  
Commerce Students ◽  
Case Based

This paper explores the influence of teaching approaches on entrepreneurial mindset of commerce, design and engineering students across 3 universities. The research presented in this paper is an initial study within a larger project looking into building ‘entrepreneurial mindsets’ of students, and how this might be influenced by their disciplinary studies. The longitudinal survey will measure the entrepreneurial mindset of students at the start of a course and at the end. Three different approaches to teaching the courses were employed – lecture and case based, blended online and class based and fully project-based course. The entrepreneurial mindset growth was surprisingly strongest within the engineering cohort, but was closely followed by the commerce students, whereas the design students were slightly more conservative in their assessments. Future study will focus on establishing what other influencing factors beyond the teaching approaches may relate to the observed change.

Frequency of tetanus vaccination in pregnant women attending to the child birth preparation classes and influencing factors

2015 ◽  
Vol 19 (2) ◽  
pp. 84-89
Author(s):  
Nuriye Büyükkayacı Duman ◽  
Gülay Yılmazel ◽  
Ayşe Burcu Başcı ◽  
Derya Yüksel Koçak
Keyword(s):  
Pregnant Women ◽  
Influencing Factors ◽  
Child Birth ◽  
Birth Preparation ◽  
Tetanus Vaccination
Sign in / Sign up

Export Citation Format

Share Document