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Characterizing mode choice behaviors of the evacuees during emergency evacuation using a Logistic regression model
Author(s) -
Sugiarto Sugiarto,
Lulusi,
Muhammad Isya,
Taufik Taufik,
Muhammad Haiqal
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/523/1/012032
Subject(s) - logistic regression , mode (computer interface) , mode choice , discrete choice , explanatory power , government (linguistics) , preference , binary logit model , business , transport engineering , psychology , computer science , engineering , econometrics , economics , statistics , public transport , mathematics , philosophy , linguistics , epistemology , operating system
The most crucial transportation components in studying individual decision-making behavior are mode choice that used by evacuees. Especially in typical emerging countries which private motorized transport is mostly used in daily activities. Mode choice evacuation behavior is viewed as one of the essential aspects in a transportation disaster planning. This study is aiming to investigate an individual’s preferences for selecting motorized and non-motorized modes for their evacuation during imaginary tsunami evacuation. The Stated Preference (SP) experimental data were collected in Kuta Raja sub-district, one of the most exposed sub-district in Banda Aceh. Binary logistic regression was conducted to evaluate the effects of several factors quantitatively and to identify the dominant factor that affected evacuation mode choice. The empirical result depicts that mode choice used by evacuee during an emergency evacuation is suggestively associated to the socio-demographic attributes such as male gender, age, government employee, low-income household, household member and motorcycle owned. It found that the medium-income households substantially rely on motorcycle mode for their evacuation. The more motorcycle owned within the household, the more likelihood of using motorcycle for their evacuation. The male gender and government employee also has a statistically positive correlation to the explanatory power of motorized transport used to evacuate.

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