Research Article


DOI :10.26650/ibr.2022.51.934746   IUP :10.26650/ibr.2022.51.934746    Full Text (PDF)

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

Kübranur Çebi Karaaslan

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.


PDF View

References

  • Alkan, Ö., & Abar, H. (2020). Determination of factors influencing tobacco consumption in Turkey using categorical data analysesl. Archives of Environmental & OccupationalHealth, 75(1), 27-35. https://doi. org/10.1080/19338244.2018.1556200 google scholar
  • Alkan, Ö., Abar, H., & Karaaslan, A. (2015). Evaluation of determinants on number of various information equipment at households in Turkey. International Journal ofBusiness, Humanities and Technology, 5(5), 24-32. google scholar
  • Akay, E. Ç., & Tümsel, B. (2015). Hanehalkı otomobil sahipliğinin incelenmesi: Ardışık logit modeli. Sosyal Bilimler Araştırma Dergisi, 4(4), 35-45. google scholar
  • Çınar, M . (2018). Çalışan Bireylerin Otomobil Sahipliğini Etkileyen Faktörler: Bursa Örneği. Yalova Sosyal Bilimler Dergisi, 8(16), 1-19 . google scholar
  • Dinarcan, G. N. (2018). Sayma verisi için regresyon modelleri ve bir uygulama, Ankara, TR: Hacettepe University. google scholar
  • Gomez-Gelvez, J. A., & Obando, C. (2013). Modeling car ownership in urban areas of developing countries: case study of Bogota, Colombia. Transportation Research Record, 2394(1), 111-118. google scholar
  • Guo, Z. (2013). Does residential parking supply affect household car ownership? The case of New York City. Journal of Transport Geography, 26, 18-28. google scholar
  • 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. google scholar
  • 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. google scholar
  • Memişoğlu, O., & Can, A. K. (2021). Lüks Otomotiv Sektöründe Satın Alma Kararını Etkileyen Faktörler. R&S-Research Studies Anatolia Journal, 4(1), 1-12. google scholar
  • 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. google scholar
  • Otken, B., & Gümüşay, M. Ü. (2009). Karayolunda Hareket Halindeki Taşıtların Çevreye Yaydıkları Emisyonların Analizi İçin CBS’de Arayüzlerin Hazırlanması. Jeodezi ve Jeoinformasyon Dergisi, (101). google scholar
  • 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. google scholar
  • 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. google scholar
  • Scott, D. M., & Axhausen, K. W. (2006). Household mobility tool ownership: modeling interactions between cars and season tickets. Transportation, 33(4), 311-328. google scholar
  • TUIK. Hanehalkı Budget Survey. Retrieved 10.3.2021 from https://www.tuik.gov.tr/Kurumsal/Mikro_Veri google scholar
  • Üçdoğruk Birecikli, Ş., & Şengül, S. (2021). Uygulamalarla Mikroekonometri. Ankara: Nobel Akademik Press. google scholar

Citations

Copy and paste a formatted citation or use one of the options to export in your chosen format


EXPORT



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


AMA

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


ABNT

Çebi Karaaslan, K. Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model. Istanbul Business Research, [Publisher Location], v. 51, n. 1, p. 175-188, 2022.


Chicago: Author-Date Style

Çebi Karaaslan, Kübranur,. 2022. “Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model.” Istanbul Business Research 51, no. 1: 175-188. https://doi.org/10.26650/ibr.2022.51.934746


Chicago: Humanities Style

Çebi Karaaslan, Kübranur,. Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model.” Istanbul Business Research 51, no. 1 (Feb. 2023): 175-188. https://doi.org/10.26650/ibr.2022.51.934746


Harvard: Australian Style

Çebi Karaaslan, K 2022, 'Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model', Istanbul Business Research, vol. 51, no. 1, pp. 175-188, viewed 1 Feb. 2023, https://doi.org/10.26650/ibr.2022.51.934746


Harvard: Author-Date Style

Çebi Karaaslan, K. (2022) ‘Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model’, Istanbul Business Research, 51(1), pp. 175-188. https://doi.org/10.26650/ibr.2022.51.934746 (1 Feb. 2023).


MLA

Çebi Karaaslan, Kübranur,. Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model.” Istanbul Business Research, vol. 51, no. 1, 2022, pp. 175-188. [Database Container], https://doi.org/10.26650/ibr.2022.51.934746


Vancouver

Çebi Karaaslan K. Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model. Istanbul Business Research [Internet]. 1 Feb. 2023 [cited 1 Feb. 2023];51(1):175-188. Available from: https://doi.org/10.26650/ibr.2022.51.934746 doi: 10.26650/ibr.2022.51.934746


ISNAD

Çebi Karaaslan, Kübranur. Investigation of Factors Affecting the Number of Automobiles Owned by Households: Count Data Model”. Istanbul Business Research 51/1 (Feb. 2023): 175-188. https://doi.org/10.26650/ibr.2022.51.934746



TIMELINE


Submitted08.05.2021
Accepted21.10.2021
Published Online10.02.2022

LICENCE


Attribution-NonCommercial (CC BY-NC)

This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms.


SHARE




Istanbul University Press aims to contribute to the dissemination of ever growing scientific knowledge through publication of high quality scientific journals and books in accordance with the international publishing standards and ethics. Istanbul University Press follows an open access, non-commercial, scholarly publishing.