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Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model

Year 2022, Volume: 51 Issue: 1, 175 - 188, 01.05.2022
https://doi.org/10.26650/ibr.2022.51.934746

Abstract

The automobile industry is a service-oriented industry that is constantly developing. Households are the most important interlocutors in this industry. The study's aim in this direction is to determine what factors influence the number of automobiles owned by households. The factors that affect this number, as well as the extent of these affects, have been investigated in the study. The study's data set was obtained from the Turkish Statistical Institute's Household Budget Surveys. Count data models were used in the study. As a result of the study, the gender, age, educational status, marital status, working status of the household head, household size, annual available income, second house ownership, saving status, eating out habits, going to the movie habits, going to the market habits, difficulty in accessing public transportation services, difficulty in accessing compulsory education services and the variables of the survey year were statistically significant. The information presented in this study is expected to help decision makers and policymakers who benefit from the automobile sector, particularly automobile industry manufacturers.

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References

  • Alkan, Ö., & Abar, H. (2020). Determination of factors influencing tobacco consumption in Turkey using categorical data analyses1. Archives of Environmental & Occupational Health, 75(1), 27-35. https://doi.org/10.1080/19338244.2018.1556200
  • Alkan, Ö., Abar, H., & Karaaslan, A., (2015). Hanelerde Bulunan Bilişim Ekipmanları Sayısını Etkileyen Faktörlerin Poisson Regresyon Modeliyle Araştırılması . 2. Ulusal Yönetim Bilişim Sistemleri Kongresi, Turkey Akay, E. Ç., & Tümsel, B. (2015). Hanehalkı otomobil sahipliğinin incelenmesi: Ardışık logit modeli. Sosyal Bilimler Araştırma Dergisi, 4(4), 35-45.
  • Çınar, M . (2018). Çalışan Bireylerin Otomobil Sahipliğini Etkileyen Faktörler: Bursa Örneği . Yalova Sosyal Bilimler Dergisi , 8 (16) , 1-19 .
  • Dinarcan, G. N. (2018). Sayma verisi için regresyon modelleri ve bir uygulama, Ankara, TR: Hacettepe University.
  • Gómez-Gélvez, J. A., & Obando, C. (2013). Modeling car ownership in urban areas of developing countries: case study of Bogotá, Colombia. Transportation research record, 2394(1), 111-118.
  • Guo, Z. (2013). Does residential parking supply affect household car ownership? The case of New York City. Journal of Transport Geography, 26, 18-28.
  • Karaatlı, M., Helvacıoğlu, Ö. C., Ömürbek, N., & Tokgöz, G. (2012). Yapay Sinir Ağlari Yöntemi ile Otomobil Satiş Tahmini. Uluslararası Yönetim İktisat ve İşletme Dergisi, 8(17), 87-100.
  • Li, J., Walker, J. L., Srinivasan, S., & Anderson, W. P. (2010). Modeling private car ownership in China: Investigation of urban form impact across megacities. Transportation research record, 2193(1), 76-84.
  • Memişoğlu, O., & Can, A. K. (2021). Lüks Otomotiv Sektöründe Satın Alma Kararını Etkileyen Faktörler. R&S-Research Studies Anatolia Journal, 4(1), 1-12.
  • Oakil, A. T. M., Manting, D., & Nijland, H. (2016). Determinants of car ownership among young households in the Netherlands: The role of urbanisation and demographic and economic characteristics. Journal of transport geography, 51, 229-235.
  • Otken, B., & Gümüşay, M. Ü. (2009). Karayolunda Hareket Halindeki Taşıtların Çevreye Yaydıkları Emisyonların Analizi İçin CBS’de Arayüzlerin Hazırlanması. Jeodezi ve Jeoinformasyon Dergisi, (101).
  • Potoglou, D., & Kanaroglou, P. S. (2008). Modelling car ownership in urban areas: a case study of Hamilton, Canada. Journal of Transport Geography, 16(1), 42-54.
  • Ritter, N., & Vance, C. (2013). Do fewer people mean fewer cars? Population decline and car ownership in Germany. Transportation Research Part A: Policy and Practice, 50, 74-85.
  • Scott, D. M., & Axhausen, K. W. (2006). Household mobility tool ownership: modeling interactions between cars and season tickets. Transportation, 33(4), 311-328.
  • TUİK. Hanehalkı Budget Survey. Retrieved 10.3.2021 from https://www.tuik.gov.tr/Kurumsal/Mikro_Veri
  • Üçdoğruk Birecikli, Ş. & Şengül, S. (2021). Uygulamalarla Mikroekonometri. Ankara: Nobel Akademik Press.
Year 2022, Volume: 51 Issue: 1, 175 - 188, 01.05.2022
https://doi.org/10.26650/ibr.2022.51.934746

Abstract

Project Number

-

References

  • Alkan, Ö., & Abar, H. (2020). Determination of factors influencing tobacco consumption in Turkey using categorical data analyses1. Archives of Environmental & Occupational Health, 75(1), 27-35. https://doi.org/10.1080/19338244.2018.1556200
  • Alkan, Ö., Abar, H., & Karaaslan, A., (2015). Hanelerde Bulunan Bilişim Ekipmanları Sayısını Etkileyen Faktörlerin Poisson Regresyon Modeliyle Araştırılması . 2. Ulusal Yönetim Bilişim Sistemleri Kongresi, Turkey Akay, E. Ç., & Tümsel, B. (2015). Hanehalkı otomobil sahipliğinin incelenmesi: Ardışık logit modeli. Sosyal Bilimler Araştırma Dergisi, 4(4), 35-45.
  • Çınar, M . (2018). Çalışan Bireylerin Otomobil Sahipliğini Etkileyen Faktörler: Bursa Örneği . Yalova Sosyal Bilimler Dergisi , 8 (16) , 1-19 .
  • Dinarcan, G. N. (2018). Sayma verisi için regresyon modelleri ve bir uygulama, Ankara, TR: Hacettepe University.
  • Gómez-Gélvez, J. A., & Obando, C. (2013). Modeling car ownership in urban areas of developing countries: case study of Bogotá, Colombia. Transportation research record, 2394(1), 111-118.
  • Guo, Z. (2013). Does residential parking supply affect household car ownership? The case of New York City. Journal of Transport Geography, 26, 18-28.
  • Karaatlı, M., Helvacıoğlu, Ö. C., Ömürbek, N., & Tokgöz, G. (2012). Yapay Sinir Ağlari Yöntemi ile Otomobil Satiş Tahmini. Uluslararası Yönetim İktisat ve İşletme Dergisi, 8(17), 87-100.
  • Li, J., Walker, J. L., Srinivasan, S., & Anderson, W. P. (2010). Modeling private car ownership in China: Investigation of urban form impact across megacities. Transportation research record, 2193(1), 76-84.
  • Memişoğlu, O., & Can, A. K. (2021). Lüks Otomotiv Sektöründe Satın Alma Kararını Etkileyen Faktörler. R&S-Research Studies Anatolia Journal, 4(1), 1-12.
  • Oakil, A. T. M., Manting, D., & Nijland, H. (2016). Determinants of car ownership among young households in the Netherlands: The role of urbanisation and demographic and economic characteristics. Journal of transport geography, 51, 229-235.
  • Otken, B., & Gümüşay, M. Ü. (2009). Karayolunda Hareket Halindeki Taşıtların Çevreye Yaydıkları Emisyonların Analizi İçin CBS’de Arayüzlerin Hazırlanması. Jeodezi ve Jeoinformasyon Dergisi, (101).
  • Potoglou, D., & Kanaroglou, P. S. (2008). Modelling car ownership in urban areas: a case study of Hamilton, Canada. Journal of Transport Geography, 16(1), 42-54.
  • Ritter, N., & Vance, C. (2013). Do fewer people mean fewer cars? Population decline and car ownership in Germany. Transportation Research Part A: Policy and Practice, 50, 74-85.
  • Scott, D. M., & Axhausen, K. W. (2006). Household mobility tool ownership: modeling interactions between cars and season tickets. Transportation, 33(4), 311-328.
  • TUİK. Hanehalkı Budget Survey. Retrieved 10.3.2021 from https://www.tuik.gov.tr/Kurumsal/Mikro_Veri
  • Üçdoğruk Birecikli, Ş. & Şengül, S. (2021). Uygulamalarla Mikroekonometri. Ankara: Nobel Akademik Press.
There are 16 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Articles
Authors

Kübranur Çebi Karaaslan 0000-0001-9288-017X

Project Number -
Publication Date May 1, 2022
Submission Date May 8, 2021
Published in Issue Year 2022 Volume: 51 Issue: 1

Cite

APA Çebi Karaaslan, K. (2022). Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model. Istanbul Business Research, 51(1), 175-188. https://doi.org/10.26650/ibr.2022.51.934746