THE DYNAMICS OF MOVEMENTS BEHAVIOR OF BICYCLE USERS DURING THE TRANSITION TOWARDS THE COVID-19 ENDEMIC (CASE STUDY: BANDUNG CITY)
With the high increase in the positivity rate of Covid-19 cases in Indonesia, the government as soon as possible makes regulations to limit the movement of people with the aim of suppressing the surge in Covid-19 cases in the following days in Indonesia, including the city of Bandung. With the ma...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/69311 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | With the high increase in the positivity rate of Covid-19 cases in Indonesia, the
government as soon as possible makes regulations to limit the movement of
people with the aim of suppressing the surge in Covid-19 cases in the following
days in Indonesia, including the city of Bandung. With the many changes to
movement restrictions in the city of Bandung, the trend of cyclists has shown a
high number since the pandemi took place. With the large number of bicycle
users in the city of Bandung, there are several obstacles that have not been able
to accommodate the demand for cyclists in the city of Bandung, so it is necessary
to identify the number of cyclists in the city of Bandung in the future. This study
aims to identify the dynamics of the movement of cyclists at 4 points in time (prepandemi, during the pandemi, currently (transition to endemi, and estimates in
the future endemi), and also to find out what factors influence the use of bicycles.
Method which are used to answer these objectives are statistical descriptive
analysis, factor analysis, and binomial logistic regression analysis. The results
obtained are that there is a significant dynamic between the 3 periods and there
is a great opportunity in the future endemi period. Then through binomial
logistic regression analysis, we get the following factors: factors that influence
respondents' preferences and opportunities for bicycle users, with the
percentage of non-regular bicycle users (77%) and non-regular bicycle users
(23%). |
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