A MULTINOMIAL LOGIT MODEL FOR ESTIMATING THE INFLUENCE OF HOUSEHOLD CHARACTERISTICS ON MOTORCYCLE OWNERSHIP: A Case Study in Denpasar City, Bali

Wedagama, Dewa Made Priyantha

doi:10.12962/j20861206.v29i1.1733

Cited by 20 publications

(7 citation statements)

References 4 publications

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“…The classification accuracy rate usually should be 25 percent or more, higher than the proportional by chance accuracy rate (Bayaga, 2 010; El-Habi l, 2 012; Wedagama, 2009). The proportional by chance accuracy rate can be computed by calculating the proportion of cases for each group based on the number of cases in each group of the response variable (Bayaga, 2010;El-Habil, 2012;Wedagama, 2009;White, 2013). The proportional by chance accuracy rate was figured by computing the proportion of each service category.…”

Section: Resultsmentioning

confidence: 99%

Walking Feeder Mode Services Choice Analysis for Integration of Bus Rapid Transit System: A Case Study

2017

IJTTE

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Public transit system plays a vital role in economic development for access to the commuters in urban locations. To ensure accessibility of public transit system is a daunting task faced by developing countries due to the lack of feeder services. The present study examines research on proposed feeder mode service choices as walking as one mode with three optional service categories such as Exclusive Footpath Service (EFS), Special Shoulder Treatment for Pedestrian only (SSTP) and Pedestrian allow in Mixed Traffic (PMT) services. The Multinomial Logit (MNL) Model is used to analyze the proposed integrated services for Bus Rapid Transit System corridor of Ahmedabad City in SPSS environment. The findings revealed the increase in travel time and travel distance causes the user's choice decrease to the proposed services and shift to personal vehicles for access to the stops. The prediction accuracy of the proposed model is 49.4% which is greater than the proportional by chance accuracy criteria of 47.9% indicates the model was satisfied. The output of this research paper is based on case study, but the proposed methodology can apply as base for introducing the proposed walking feeder mode services of the same sized metropolitan cities.

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Section: Resultsmentioning

confidence: 99%

Walking Feeder Mode Services Choice Analysis for Integration of Bus Rapid Transit System: A Case Study

2017

IJTTE

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“…The characteristics served as the variables influencing the dependant variable, however it is necessary to not skip this step beforehand. The purpose of this step was to select the variables to be included in the multivariate logistic stage [10]. Table 3 below shows the significance value of all the characteristics.…”

Section: Analysis and Discussionmentioning

confidence: 99%

Analysis of Motorcycle Traffic Accident Based on the Riders’ Characteristics in Kupang, East Nusa Tenggara

Widyastuti¹,

Adriana²

2022

Journal of Civil Engineering

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Awareness about driving safety is still lacking among motorcycle users. As the provincial capital of East Nusa Tenggara (NTT), Kupang city accounts for the largest number of accidents in NTT with 70% of the total accidents involving motorcycles. It is important to measure the extent to which riding characteristics affects and causes road accidents since humans as the riders are the main factor in traffic accidents. A questionnaire was distributed to the motorcyclists. The data collected from 212 respondents was analysed with the multivariate logistic regression method. The analysis result states that the motorcycle mileage and the motorbike ownership hold the most influence on the incidence of motorcycle road accidents, where the further the motorcycle riders travel, the higher the probability of them to get involved in a road accident. Meanwhile the more units of motorcycle owned, the lower the probability of them to get involved in a road accident.

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“…The 4 cars and above car category is the reference categor y for this study. For categories i=2……..k, the probability of categories are as follows (Wedagama, 2009b): (1) Where:…”

Section: Modelling Frameworkmentioning

confidence: 99%

“…All of reduced variables were selected using Likelihood Ratio (LR) Chi -Square test (Wedagama 2009b). …”

Section: Car Ownership Model Estimatesmentioning

confidence: 99%

Multinomial Logit Model Estimation of Household Characteristics Influencing Car Ownership in Akure, South West, Nigeria

Joseph¹,

Eromietse²,

Emmanuel³

et al. 2017

IJTTE

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Understanding and predicting factors affecting car ownership and use is important given its impacts on transportation planning. This study investigates contributing factors to car ownership in Akure. The study's data were gotten through the administration of a wellstructured questionnaire survey from May-July 2016 to households in the city. The study area was divided High, Medium and Low population density zones with the survey yielding a return of 1002 questionnaire out of the 1181 distributed. SPSS 22 was used for both descriptive statistical analysis and formulation of the Multinomial Logit Model of car ownership. Model estimates shows that the probability of owning a car increases with increase in income (I2) and reduces with increase in household members (HN). Sensitivity analysis was carried out with the model estimates to test different scenarios. The test results show that a 50% increase in income and Number of household members increases the number of cars owned in Akure metropolis by 51% and 0.8% respectively while a decrease in I2 and HN by 50% reduces the number of cars owned by 37% and 0.8% respectively. R-square value of 0.705 and P-value of 0.000 implies that the model gives a good prediction. The study has shown that car ownership will increase with increase in earning capacity of households in Akure such as in the periods of economic boom while the reverse is the case in periods of recession. The results will assist transportation planners and agencies in solving urban traffic problems in the city.

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A MULTINOMIAL LOGIT MODEL FOR ESTIMATING THE INFLUENCE OF HOUSEHOLD CHARACTERISTICS ON MOTORCYCLE OWNERSHIP: A Case Study in Denpasar City, Bali

Abstract: 19, 34, and 48 percents, respectively.

Cited by 20 publications

References 4 publications

Walking Feeder Mode Services Choice Analysis for Integration of Bus Rapid Transit System: A Case Study

Walking Feeder Mode Services Choice Analysis for Integration of Bus Rapid Transit System: A Case Study

Analysis of Motorcycle Traffic Accident Based on the Riders’ Characteristics in Kupang, East Nusa Tenggara

Multinomial Logit Model Estimation of Household Characteristics Influencing Car Ownership in Akure, South West, Nigeria

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