Travel and Individual Factors in Determining the Risk of Becoming a Crime Victim while Commuting in the Jabodetabek Metropolitan Area

Chotib, Mihoko Matsuyuki, Beti Nurbaiti, Mohamad Axel Putra Hadiningrat

Abstract

Crime can occur anytime and anywhere, including on the way from the place of residence to the location of work, and vice versa. Approximately 75% of commuters in the Jabodetabek Metropolitan Area are private vehicle users, and 25% of commuters use public transportation modes. Regardless of the transportation mode used in their journeys, the probability of being a crime victim is unavoidable. Travel time is an important factor in determining the probability of becoming a crime victim. This study aims to analyze 1) the probability of becoming a crime victim while commuting in the Jabodetabek Metropolitan Area; 2) the impact of travel factors on the probability of becoming a crime victim while commuting in the Jabodetabek Metropolitan Area; and 3) the impact of individual factors on the probability of becoming a crime victim while commuting in the Jabodetabek Metropolitan Area. The novelty of this study is that the research is unobstructive as it analyzed existing data about the risk of a commuter becoming a crime victim. The existing statistical data used in this study are from Commuter Surveys in the Jabodetabek Metropolitan Areas 2019 microdata. This survey was conducted by the Central Bureau of Statistics in 2019 and is an important source of information for determining policies regarding commuting behavior and patterns in the Jabodetabek Metropolitan Area. Data exploration was based on commuters’ criminal experiences and their relation to travel time. This study also applies an alternative model in which other variables such as individual factors (gender, age, marital status, education, employment status) and travel factors (mode of transportation, distance travel, time of departure, time of arrival at home. Descriptive statistics analyze the data by using cross tabulation between the dependent variable (probability of being a crime victim) and each independent variable. The inferential analysis in this study uses logistic regression analysis by applying some alternative developed models.

 

Keywords: unobstructive research, travel time, logistic regression.

 

https://doi.org/10.55463/issn.1674-2974.51.2.9


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