Open AccessLogistic regression model for user preference of online parking: A study case of Sidoarjo
Author(s) -
Erwin Widodo,
Rizky Novera Harnaningrum,
Suparno Suparno,
Arie Budi Santoso
Publication year - 2020
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/885/1/012056
Subject(s) - logistic regression , preference , regression analysis , computer science , nonprobability sampling , advertising , statistics , business , mathematics , machine learning , medicine , population , environmental health
This paper investigated the factors affecting user preference of online parking in Sidoarjo Regency of Indonesia, using a binary logistic regression model approach. This model could predict user preference between online and offline parking system. Through a nonprobability convenience sampling technique, structured questionnaire was used to collect primary data from 384 respondents in three different parking location of Sidoarjo. The result of the binary logistic regression model revealed that gender, age, parking frequency, and parking duration are the four main factors that are significantly affect user parking decision. This will be definitely helpful to the government of transportation department as parking policy maker to evolve strategies in encouraging people to use online parking.