Temporal Transferability of Vehicle Ownership Models in the Developing World: Case Study of Dhaka, Bangladesh

Flavia, Anyiko; Choudhury, Charisma F.

doi:10.1177/0361198119836760

Cited by 6 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The weather condition was mentioned by 15 respondents, with respondents noting the physical labour needed for cycling and warm and humid weather conditions in Dhaka dissuading people from commuting by bike. Moreover, people in Bangladesh are not culturally accustomed to active travel on a regular basis ( Flavia and Choudhury, 2019 , Sarker et al, 2020 ). Due to the pandemic, only 2 respondents started using bicycles for their commute.…”

Section: Resultsmentioning

confidence: 99%

Transport preferences and dilemmas in the post-lockdown (COVID-19) period: Findings from a qualitative study of young commuters in Dhaka, Bangladesh

Jamal

Chowdhury

Newbold

2022

Case Studies on Transport Policy

View full text Add to dashboard Cite

At the start of the pandemic in early 2020, many cities went to complete or partial lockdown to minimize the mass transmission of COVID-19. Consequently, personal travel patterns have changed throughout the world. This study explores the transport mode preferences and associated dilemmas that commuters face in Dhaka, Bangladesh, in the post-lockdown period. We conducted in-depth semi-structured interviews of 20 young commuters residing in Dhaka. We followed a deductive reasoning approach, and the transcriptions were analyzed following thematic analysis. Findings suggest that despite the perceived high risk of COVID-19 transmission in certain modes, all commuters don’t have the ease and flexibility to switch to their preferred safer mode, with commuters trading-off between health risk, affordability and availability of suitable modes, along with other challenges. However, the country’s sustainable goals can still be achieved if proper actions, such as removing the challenges commuters face while switching to a sustainable and safe mode during COVID -19 are taken.

show abstract

Section: Resultsmentioning

confidence: 99%

Transport preferences and dilemmas in the post-lockdown (COVID-19) period: Findings from a qualitative study of young commuters in Dhaka, Bangladesh

Jamal

Chowdhury

Newbold

2022

Case Studies on Transport Policy

View full text Add to dashboard Cite

show abstract

“…It will be also interesting to investigate methods to increase spatial transferability of the models by methods such as Bayesian updating and joint context estimation (e.g. [16]).…”

Section: Policy Implications and Concluding Remarksmentioning

confidence: 99%

Car Trip Generation Models in the Developing World: Data Issues and Spatial Transferability

Bwambale

Sanko

2019

Transp. in Dev. Econ.

View full text Add to dashboard Cite

In many countries of the developing world, it is difficult to conduct large-scale household travel surveys to collect data for travel behaviour model estimation and application. This paper focuses on two candidate solutions to the problem: (1) developing models that can be applied for prediction using secondary data collected for other purposes and include sociodemographic information but do not include transport specific information such as the car and/or transit pass ownership (e.g. census, public health records, etc.), (2) 'borrowing' a model developed using data from a similar city within the same region. In the first approach, we investigate the feasibility of developing car trip generation models which imputes the car ownership variable with estimated car ownership propensities. The proposed framework is applied in two East African cities, Nairobi and Dares -Salaam. The estimation results indicate that for both cities the proposed approach outperforms the models that exclude the car ownership variable. In the second approach, we investigate the spatial transferability of the models developed in the first approach between the two cities to evaluate if it is justified to apply models from one developing country to another in the absence of local models. Results indicate that though some of the estimated parameters are not significantly different from each other between the two cities, statistical tests do not support direct transferability of all the models from Nairobi to Dares -Salaam or vice versa. However, interestingly, the simpler model (which excludes car-ownership) outperforms the model with imputed car ownership propensity in terms of transferability. These findings provide useful insights into the development of trip generation models under data constraints which can practically be very useful for developing countries.

show abstract

An exploratory analysis of traffic accidents and vehicle ownership decisions using a random parameters logit model with heterogeneity in means

Hamed

Al-Eideh

2020

Analytic Methods in Accident Research

View full text Add to dashboard Cite

Temporal Transferability of Vehicle Ownership Models in the Developing World: Case Study of Dhaka, Bangladesh

Cited by 6 publications

References 26 publications

Transport preferences and dilemmas in the post-lockdown (COVID-19) period: Findings from a qualitative study of young commuters in Dhaka, Bangladesh

Transport preferences and dilemmas in the post-lockdown (COVID-19) period: Findings from a qualitative study of young commuters in Dhaka, Bangladesh

Car Trip Generation Models in the Developing World: Data Issues and Spatial Transferability

An exploratory analysis of traffic accidents and vehicle ownership decisions using a random parameters logit model with heterogeneity in means

Contact Info

Product

Resources

About