Car Ownership Models in Iran: A Review of Methods and Determinants

Shaygan, Maryam; Mamdoohi, Amir Reza; Masoumi, Houshmand E.

doi:10.1515/ttj-2017-0005

Cited by 13 publications

(10 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They called for caution in the application of the results because there exist other variables other than the ones employed in the study that can influence car ownership. Shaygan et al (2017) reviewed existing studies on car ownership models and determinants in Iran. They found that the accuracy of the existing regression and discrete choice models is hindered by reliable aggregate and disaggregate data.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Vehicle Ownership in Nigeria

et al. 2020

View full text Add to dashboard Cite

Vehicle ownership has increased tremendously in Nigeria for the past decades. This study determined factors that influence vehicle ownership intending to develop a more appropriate basis for forecasting vehicle ownership in the country. Multiple linear regression technique was used to identify the factors that influence vehicle ownership using national data from secondary sources. The results showed that four socioeconomic factors, namely, gross domestic product, per capita income, fuel price, and literacy level, as well as one physical factor, namely, stock of public transport vehicles, have significant effects on vehicle ownership at .01 significance level. Vehicle ownership was 35.3 million in 2018. It will increase to 48.7, 66.2, and 76.1 million in 2030, 2040, and 2050, respectively. Consequently, the formulation of appropriate policy that will be useful for monitoring key parameters is germane for predicting vehicle ownership in the country.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Vehicle Ownership in Nigeria

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The data for vehicle in use in Iran show that the motorization and private car use rate is rapidly growing in Iran (OICA, 2015). The heavy trend of vehicle use is faster than most of the developed countries (Shaygan et al, 2017) with 15 percent of annual growth rate (Soltani, 2017). What makes this a threat is the coincidence of motorization growth with the lack of sufficient PT services (Mirmoghtadaee, 2016).…”

Section: Urban Transportation Context In Iranmentioning

confidence: 99%

Understanding transportation prerequisites to be integrated with urban development in developing countries: Iran as a case

Abdi¹

2021

Datasets

View full text Add to dashboard Cite

Transit Oriented Development (TOD), as an integrated transportation and land use policy and practice, was given attention in recent decades to (re)formulate urban areas worldwide. Amongst different TOD planning dimensions at play in, the transportation design and policies tend to basically form the backbone of TODs, since a multimodal sustainable movement -public transportation (PT) for long trips as well as non-motorized transportation (NMT) for short ones -is on the agenda. Although it is agreed that TOD can provide even greater benefits than in wealthier countries in long term, developing countries (DCs) are characterized with specific transport-related issues such as vexing congestion, inadequate PT infrastructure, financial obstacles, etc., that should be dealt with to deliver successful integrated TOD projects. In this regards, the present study sheds further lights on the transportation prerequisites of transit oriented urban planning in DCs.First, a systematic review of global literature provided a set of transportation dimensions integrated with urban development. Due to the recent national policies on TOD, Iran was selected as a case and a set of semi-structured interviews was conducted with Iranian urban and transport planners along with government officials in April-June 2019. The results showed that although there are some favorable conditions to TOD developments in Iran e.g., amalgamated transportation and urban development ministries, urban transportation is hindered by pro-car policies such as subsidized fuel price and lack of multi-modal infrastructure in comparison with the best practices in such DCs as Curitiba. The findings have also implications for transportation policymakers, city officials, planners, and interested readers and practitioners in Iran and other DCs interested in TOD.

show abstract

“…Dash [1] et al proposed piecewise linear multinomial logit model to study the ownership of civil vehicles. Shaygan [2] et al conducted a comprehensive analysis on the vehicle ownership model in Iran. The research on the prediction of vehicle ownership in China started late, but many models and methods have been proposed, among which the prediction result of logistic model is ideal.…”

Section: Introductionmentioning

confidence: 99%

Prediction of new energy vehicles ownership with PCA-logistic model under peak carbon dioxide emissions and carbon neutrality

Tang

Shao

et al. 2022

International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022)

View full text Add to dashboard Cite

New energy vehicles play a pivotal role in the realization of carbon peak and carbon neutrality. The prediction of the ownership of new energy vehicles is of great significance to realize the goal of environmental protection in transportation field. The fluctuations of new energy vehicle ownership data follow a long-term nonlinear trend influenced by complex impact factors where nonlinear relationships are in between. Therefore, it is important to use reasonable and accurate methods to analyze and forecast the new energy vehicle ownership to facilitate the rational formulation of policies. In order to study the change of vehicle ownership under the influence of multiple factors such as GDP, urbanization rate and highway mileage, the method of combining principal component factor analysis and logistic nonlinear model is adopted. The result shows that the nonlinear logistic regression curve obtained has a higher fitting degree with the actual data. According to the industry planning, the number of new energy vehicles in 2035 is about 156 million.

show abstract

Car Ownership Models in Iran: A Review of Methods and Determinants

Cited by 13 publications

References 38 publications

Determinants of Vehicle Ownership in Nigeria

Determinants of Vehicle Ownership in Nigeria

Understanding transportation prerequisites to be integrated with urban development in developing countries: Iran as a case

Prediction of new energy vehicles ownership with PCA-logistic model under peak carbon dioxide emissions and carbon neutrality

Contact Info

Product

Resources

About