Influential Factors of Household Car and Vehicle Ownership in Urban Areas of Turkey

ÇELİK A. K., KABAKUŞ N., TORTUM A.

TRANSPORTATION RESEARCH RECORD, cilt.2677, sa.6, ss.218-240, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 2677 Sayı: 6
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1177/03611981221145138
  • Dergi Adı: TRANSPORTATION RESEARCH RECORD
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, CAB Abstracts, Communication Abstracts, Compendex, ICONDA Bibliographic, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.218-240
  • Anahtar Kelimeler: planning and analysis, transportation planning analysis and application, decision-making, land use and transportation, HETEROGENEOUS CHOICE MODELS, NEW-YORK-CITY, BUILT ENVIRONMENT, AUTOMOBILE OWNERSHIP, AUTO OWNERSHIP, MOTORCYCLE OWNERSHIP, RESIDENTIAL LOCATION, BICYCLE OWNERSHIP, KUALA-LUMPUR, TRAVEL
  • Atatürk Üniversitesi Adresli: Evet

Özet

Car and vehicle ownership levels in developing countries are gradually increasing, leading to traffic congestion, energy consumption, and air pollution. As a developing country, Turkey encounters many of the issues caused by this rapid increase in car ownership. This paper aims to examine potential determinants of household car and vehicle ownership behavior in urban areas of Turkey by concentrating on three cities (Ankara, Erzurum, and Bayburt) that are distinct in population, geographical region, and public transit services. For this purpose, a written survey was administered to 1389 households living in these cities. The data is analyzed using alternative ordered response models-the generalized ordered logit, partial proportional odds (PPO), and heteroskedastic ordered logit models. To the best of our knowledge, this study is the first attempt to compare alternative ordered response models to determine car and vehicle ownership behavior in Turkey. Consequently, the PPO model was found to be the most parsimonious model among the others. The results demonstrated that household car and vehicle ownership behavior in Turkey differs significantly with urban area size. The estimation results also revealed that several key drivers, including type of dwelling, parking availability, household monthly income, and public transit use, significantly influence Turkish households' car and vehicle ownership levels. This study's empirical findings may provide insight to policymakers and stakeholders for future transportation strategies and policies.