Modeling car ownership and use in a developing country context with informal public transportation

2021 ◽  
Author(s):  
Lara Al Otary ◽  
Maya Abou-Zeid ◽  
Isam Kaysi
2017 ◽  
Vol 7 (1.1) ◽  
pp. 472
Author(s):  
Amitabha Acharjee ◽  
Partha Pratim Sarkar ◽  
Joyanta Pal

On the whole, car ownership is regarded as an imperative variable in travel behavior research. Car and motorcycle ownership are increasing rapidly in developing countries leading to an unsustainable developments. Using a data of 584 respondents from the Agartala city randomly collected, a model has been prepared to understand vehicle ownership for both car and motorized two wheeler mode (MTW). Latent variables along with socioeconomic variables such as monthly income, gender, age were used for modeling vehicle ownership using structural equation modelling. Latent variables used in this study, flexibility (Motorized Two wheeler), Negative public transportation perception and comfort (car) were found to be significant in the model. Our result suggests apart from socioeconomic variables, latent variables also explains vehicle ownership model.


2013 ◽  
Vol 14 (2) ◽  
pp. 145-149 ◽  
Author(s):  
Jorge Risco ◽  
Paulo Ruiz ◽  
Alejandro Mariños ◽  
Alan Juarez ◽  
Mariana Ramos ◽  
...  

2021 ◽  
Author(s):  
L. E. Karjalainen ◽  
M. Tiitu ◽  
J. Lyytimäki ◽  
V. Helminen ◽  
P. Tapio ◽  
...  

AbstractDiverse physical features of urban areas alongside socio-demographic characteristics affect car ownership, and hence the daily mobility choices. As a case of sustainable mobility, we explore how various urban environments and socio-demographics associate with the spatial and social distribution of household car ownership and carlessness in the Helsinki Metropolitan Area, Finland. Three urban fabrics characterizing the study area are established based on the transportation mode (walking, public transportation, or automobile) the physical urban environment primarily supports. The national level Monitoring System of Spatial Structure and Urban Form database, and the National Travel Survey (2016) are utilized to further include spatial and socio-demographic variables into our analysis across these fabrics. Our results show that households with and without cars differ in terms of residential distance to the city center, neighborhood density, house type, and socio-demographic profiles. Single pensioners and students are most likely to be carless, whereas families represent the opposite. Within the carless households the differences are also evident between different groups. For the more affluent households residing in dense and well-connected areas, and mostly possessing driver’s licenses, carlessness is presumably a choice. Contrarily, many other carless households represent the less affluent often located in the more distant, low-density, and less accessible areas, while also possessing less driver’s licenses, making carlessness more of a constraint, as the local urban fabric does not support such lifestyle. Consequently, carless households should be increasingly recognized as a focus group in sustainable urban planning in terms of identifiable best practices and potential vulnerability.


Urban Studies ◽  
2021 ◽  
pp. 004209802199513
Author(s):  
Adam Millard-Ball ◽  
Jeremy West ◽  
Nazanin Rezaei ◽  
Garima Desai

Credibly identifying how the built environment shapes behaviour is empirically challenging, because people select residential locations based on differing constraints and preferences for site amenities. Our study overcomes these research barriers by leveraging San Francisco’s affordable housing lotteries, which randomly allow specific households to move to specific residences. Using administrative data, we demonstrate that lottery-winning households’ baseline preferences are uncorrelated with their allotted residential features such as public transportation accessibility, parking availability and bicycle infrastructure – meaning that neighbourhood attributes and a building’s parking supply are effectively assigned at random. Surveying the households, we find that these attributes significantly affect transportation mode choices. Most notably, we show that essentially random variation in on-site parking availability greatly changes households’ car ownership decisions and driving frequency, with substitution away from public transport. In contrast, we find that parking availability does not affect employment or job mobility. Overall, the evidence from our study robustly supports that local features of the built environment are important determinants of transportation behaviour.


Sign in / Sign up

Export Citation Format

Share Document