Explaining travel behaviour with limited socio-economic data: Case study of Vishakhapatnam, India

Jain, Deepty; Tiwari, Geetam

doi:10.1016/j.tbs.2018.12.001

Cited by 25 publications

(14 citation statements)

References 33 publications

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“…In Sweden, while men travel longer distances in cars, women travel similar distances by public transport (Carlsson-Kanyama et al, 1999). When available, women tend to use more public transport and less private cars in Vishakhapatnam (Jain and Tiwari, 2019). Mahadevia and Advani (2016) find that as income increases men tend to shift to motorized vehicles, but women tend to shift to public transport or continue to walk in Rajkot.…”

Section: Socio-demographic Factors and Transportmentioning

confidence: 99%

Is the choice of less-polluting modes of transport for non-work purposes affected by socio-demographic factors? Evidence from India

Saigal

Vaish

Rao

2021

MEQ

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PurposeUsing survey data of a developing country city, this study aims to examine the impact of different socio-demographic factors on the choice of less-polluting modes of transport for purposes other than work.Design/methodology/approachStratified random sampling technique is employed and data on socio-demographic characteristics and mode of transport used is collected. Descriptive statistics complemented with a logit model of choice probabilities is implemented on the data obtained.FindingsMajority of the population in the city uses motorized means of transportation irrespective of the socio-demographic changes existing among them. Women, the individuals belonging to the youngest age group, the least economically well-off group of people, the least educated and the non-working are the individuals more likely to use more of less-polluting modes and less of more-polluting modes for non-work purposes as compared to their counterparts.Research limitations/implicationsThe study also calls for the development of an efficient and secured system of public transportation and non-motorized transportation in the city in such a way so as to neither hamper the goal of sustainability nor the goal of empowerment.Originality/valueTo the best of the authors’ knowledge, this is the first time a comprehensive analysis of the influence of socio-demographic factors on choice of type of mode of transport is carried out in this region of the developing world. This analysis will facilitate the policy makers in catering to the transportation needs of different segments of the society.

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Section: Socio-demographic Factors and Transportmentioning

confidence: 99%

Is the choice of less-polluting modes of transport for non-work purposes affected by socio-demographic factors? Evidence from India

Saigal

Vaish

Rao

2021

MEQ

View full text Add to dashboard Cite

show abstract

“…The need to study human dynamics which influence peoples' travel behaviour is due to its correlation with the performance of transport systems and policy interventions (Adnan et al, 2019;Chinazzi et al, 2020;Jain & Tiwari, 2019;Malavenda et al, 2020;Mogaji, 2020). This calls for attention from town planners, transport engineers and economist, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Travel behaviour is a function of commuters' social demographic characteristics and the built environment or land use policies (Etminani-Ghasrodashti & Ardeshiri, 2015;Jain & Tiwari, 2019;Mogaji, 2020;Veternik & Gogola, 2017), such characteristics include the level of education, age, household size, gender, car ownership, marital status, etc. (Malavenda et al, 2020;Ortuzar et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…The most sensitive attributes that influence travel behaviour in terms of modal split and trip destination or purpose include, travel time or distance, available mode and fare or attractiveness in terms of comfort and safety (Adnan et al, 2019;Chen & Li, 2017: Mogaji, 2020Ortuzar et al, 2011). The consideration of essential travel behaviour attributes is important in developing public transport policies or work plan for intervention by concerned authorities (Jain & Tiwari, 2019: Mogaji, 2020.…”

Section: Introductionmentioning

confidence: 99%

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The impact of COVID-19 pandemic on travel behaviour of commuters in Makurdi metropolis

2021

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The outbreak of Corona Virus in the 4th quarter of year 2019 at Wuhan city of China, and its rapid spread across the world necessitated the introduction of travel restriction policies by the federal and state governments of Nigeria. This was to help curtail the spread of the deadly disease. This study examined the travel behaviour of flouting commuters in Makurdi metropolis amidst the travel restriction policy during the lockdown period. About 496 questionnaires were administered to commuters travelling within the 16 km radius metropolis. Essential factors captured in the questionnaire included modal split and trip purposes as affected by socio-demographic characteristics of commuters such as; age, gender, marital status, level of education, etc. The findings of the study revealed that there was no statistically significant level of dependence of commuters' sociodemographic characteristics on modal split and trip destinations at 5% level of significance using contingency tables. The trend revealed that there were no obvious influential changes in the travel behaviour of commuters in Makurdi metropolis amidst the COVID-19 pandemic. It was recommended that concerned

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“…However, this is still a social phenomenon and population characteristic that is very worthy of attention. Jain et al [ 25 ] also found that travel behaviors would be significantly affected by income.…”

Section: Introductionmentioning

confidence: 99%

Using Bus Ticketing Big Data to Investigate the Behaviors of the Population Flow of Chinese Suburban Residents in the Post-COVID-19 Phase

Bai

Sun

Liu

et al. 2021

IJERPH

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Large-scale population movements can turn local diseases into widespread epidemics. Grasping the characteristic of the population flow in the context of the COVID-19 is of great significance for providing information to epidemiology and formulating scientific and reasonable prevention and control policies. Especially in the post-COVID-19 phase, it is essential to maintain the achievement of the fight against the epidemic. Previous research focuses on flight and railway passenger travel behavior and patterns, but China also has numerous suburban residents with a not-high economic level; investigating their travel behaviors is significant for national stability. However, estimating the impacts of the COVID-19 for suburban residents’ travel behaviors remains challenging because of lacking apposite data. Here we submit bus ticketing data including approximately 26,000,000 records from April 2020–August 2020 for 2705 stations. Our results indicate that Suburban residents in Chinese Southern regions are more likely to travel by bus, and travel frequency is higher. Associated with the economic level, we find that residents in the economically developed region more likely to travel or carry out various social activities. Considering from the perspective of the traveling crowd, we find that men and young people are easier to travel by bus; however, they are exactly the main workforce. The indication of our findings is that suburban residents’ travel behavior is affected profoundly by economy and consistent with the inherent behavior patterns before the COVID-19 outbreak. We use typical regions as verification and it is indeed the case.

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Explaining travel behaviour with limited socio-economic data: Case study of Vishakhapatnam, India

Cited by 25 publications

References 33 publications

Is the choice of less-polluting modes of transport for non-work purposes affected by socio-demographic factors? Evidence from India

Is the choice of less-polluting modes of transport for non-work purposes affected by socio-demographic factors? Evidence from India

The impact of COVID-19 pandemic on travel behaviour of commuters in Makurdi metropolis

Using Bus Ticketing Big Data to Investigate the Behaviors of the Population Flow of Chinese Suburban Residents in the Post-COVID-19 Phase

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