Binomial logistic regression model of household motorcycle ownership in Akure, Ondo State, Nigeria

Oyedepo, Olugbenga Joseph; Etu, Japheth E.

doi:10.1590/2238-1031.jtl.v9n4a8

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…Di Akure, ibukota negara bagian Ondo di Nigeria Barat Daya, Oyedepo & Etu (2015) meneliti faktor rumah tangga yang mempengaruhi kepemilikan sepeda motor. Kepemilikan sepeda motor dipelajari pada tingkat rumah tangga menggunakan survei kuisioner rumah tangga dan model regresi logistik binomial untuk menganalisis data.…”

Section: Pendahuluanunclassified

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Pengembangan Pemodelan Multinomial Logit untuk Menentukan Probabilitas Kepemilikan Sepeda Motor di Kota Kupang

Semiun

2019

TEKNIK

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Penelitian ini bertujuan untuk menentukan faktor-faktor yang berpengaruh signifikan terhadap kepemilikan sepeda motor di kota Kupang dan memprediksi besarnya peluang atau probabilitas suatu rumah tangga untuk memiliki satu, dua, dan lebih dari dua sepeda motor sebagai akibat dari perubahan kondisi karakteristik sosio-ekonomi mikro. Penelitian ini berbasis model multinomial logit (MNL) dengan metode maksimum likelihood. Berdasarkan kalibrasi hasil pemodelan, faktor yang berpengaruh signifikan terhadap kepemilikan sepeda motor di Kota Kupang adalah jumlah anggota keluarga, penghasilan, jumlah anggota keluarga yang bekerja, jumlah anggota keluarga yang sekolah, dan waktu tempuh ke sekolah. Perubahan ekstrim keselurahan faktor kepemilikan sepeda motor (nilai berubah dari 0 ke 0.50) akan meningkatkan probabilitas kepemilikan satu sepeda motor sebesar 43.90%, meningkatkan probabilitas kepemilikan dua sepeda motor sebesar 42.07% dan menurunkan probabilitas kepemilikan lebih dari dua sepeda motor sebesar 85.98% sebagai akibat dari kecenderungan untuk memiliki mobil pribadi. Pengembangan model ini telah memberikan indikasi pada tren yang diharapkan dari kepemilikan sepeda motor.

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Section: Pendahuluanunclassified

“…Penelitian ini juga relevan dengan hasil penelitian yang dilakukan oleh Dargay dkk. (2007), Leong & Sadullah (2007), Wedagama (2013) dan Oyedepo & Etu (2015).…”

Section: Gambar 4 Probabilitas Kepemilikan Sepeda Motorunclassified

Pengembangan Pemodelan Multinomial Logit untuk Menentukan Probabilitas Kepemilikan Sepeda Motor di Kota Kupang

Semiun

2019

TEKNIK

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“…Adults who favorably perceive access to public transport and destinations, presence of sidewalks, and safety from crimes at night are less likely to use motorcycles [36]. Oyedepo et al [37] found that the likelihood of owning a motorcycle increases 1.43 times with a unit increase in the number of household members; by contrast, the likelihood of owning a motorcycle decreases by 1.66 times and 2.17 times with unit increases in average monthly income and academic qualification of the household head, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China

Chen

Yang

et al. 2018

Sustainability

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With the rapid rural urbanization and new rural construction in China, tremendous changes are occurring in rural built environments and rural household vehicle ownership. However, few studies have examined the relationship between rural built environments and rural household vehicle ownership. In this study, a questionnaire survey of 374 rural households was conducted and the built environment data of seven typical villages in rural Sichuan were collected using Geographic Information System (GIS) technology and on-site measurement. This study aimed to investigate the relationship between the rural built environment and rural household vehicle ownership in China through a multinomial logit (MNL) model. Results show that household structure attributes have the most significant relationship with vehicle ownership, followed by rural built environment attributes and the respondents' driving skills. In the process of urbanization, with increases in building density, road density, and destination accessibility, an increase in high-carbon vehicle ownership is an inevitable trend among rural households. However, low-carbon-oriented rural planning can effectively control the increase in high-carbon vehicle ownership. For example, the distance between rural households and important destinations, such as hospitals, schools, and markets, should be shortened and rural residents should be encouraged to learn to ride bicycles. Moreover, rural residents riding motorcycles can effectively reduce household car ownership.

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“…Education was not a significant determinant, implying that the position of Human Capital Theory in terms of earnings of the employed and self-employed does not hold in the informal transport sub-sector. Oyedepo and Etu [17] examined factors which affect motorcycle ownership in Akure metropolis. The study showed that a unit increase in both the average monthly income and academic qualification of household head will lead to a reduction in the likelihood of owning a motorcycle by 1.66 times and 2.17 times respectively, while a unit increase in the number of household members will increase the likelihood of owning a motorcycle.…”

Section: Background: Previous Studiesmentioning

confidence: 99%

Motorcycle Ownership Assessment and Estimation in Makurdi, North Central, Nigeria: A Multinomial Logit Model Approach

Gbagir¹,

Etu²,

Oyedepo³

2018

JCEST

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With the rapid rise in problems associated with use of motorcycles as alternative means to inadequate public transportation, this study seeks to identify household factors influencing motorcycle ownership in Makurdi. The study estimates the influence of the various household factors identified and a model for predicting motorcycle ownership is developed for the study area. Data were collected via a questionnaire survey of 1412 households in the study area. The survey revealed that the number of motorcycles owned per household in the low density zone was 0.67 while that for the medium and high density zones was 0.62 and 0.79 respectively. The multinomial logit model developed predicted that 67% of households owned motorcycles as compared to 71% observed from survey data. Severity applications of the model to test the effects of changing economic situations on motorcycle ownership showed that residents of the study area are more disposed to owning motorcycles in periods of recession than periods of economic boom. The study gives an understanding of motorcycle growth pattern and ownership characteristics in the study area and will therefore serve as a relevant input for planning, regulation and control of motorcycle activities in the study area.

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Binomial logistic regression model of household motorcycle ownership in Akure, Ondo State, Nigeria

Cited by 9 publications

References 3 publications

Pengembangan Pemodelan Multinomial Logit untuk Menentukan Probabilitas Kepemilikan Sepeda Motor di Kota Kupang

Pengembangan Pemodelan Multinomial Logit untuk Menentukan Probabilitas Kepemilikan Sepeda Motor di Kota Kupang

Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China

Motorcycle Ownership Assessment and Estimation in Makurdi, North Central, Nigeria: A Multinomial Logit Model Approach

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