Geographically weighted logistic regression approach to explore the spatial variability in travel behaviour and built environment interactions: Accounting simultaneously for demographic and socioeconomic characteristics

Nkeki, Felix Ndidi; Asikhia, Monday Ohi

doi:10.1016/j.apgeog.2019.05.008

Cited by 43 publications

(20 citation statements)

References 53 publications

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“…Existing literature on the issue depicts contradictory findings. While a study conducted in Nigeria concludes that well-educated people prefer private mode of travel (Nkeki & Asikhia, 2019), another study conducted in the USA finds the walking and cycling rates to be highest among well-educated population (Buehler et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Socio-economic- and Gender-based Differentials in Choice of Sustainable Mode of Transport: Evidence from Jaipur, India

2021

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Climate change, fuelled by the growing transportation sector, is a pressing global challenge. There is a need to promote such a system of transportation, which is not only efficient but also sustainable. Using descriptive statistics complemented with a logit model of choice probabilities implemented on survey data from a city in a developing country, this study aims to examine the impact ‘of different socio-economic factors on the choice of sustainable modes of transport while also highlighting how these choices are different for men and women—the group of working population, those with the highest level of education, the group which is the most socio-economically well-off and the population of men most unlikely to prefer sustainable modes of transport. The study emphasizes the need to incorporate the varying demands of different socio-economic groups while formulating transportation policies so as to hamper neither the goal of sustainability nor the goal of women empowerment.

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Section: Resultsmentioning

confidence: 99%

Socio-economic- and Gender-based Differentials in Choice of Sustainable Mode of Transport: Evidence from Jaipur, India

2021

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“…Working people's preference for faster and convenient modes of transport is much evident (Sharma, 2019). Employed people are more likely to use private vehicles than unemployed people (Nkeki and Asikhia, 2019). A study conducted in Seoul, South Korea reveals employed people's stronger propensity towards car transportation than unemployed people (Ko et al , 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Sovacool et al (2018) finds that individuals with higher levels of education are more prone to buy low-carbon electric vehicles in Nordic region. A study conducted in Benin, Nigeria reveals how well-educated population prefers private modes of commuting (Nkeki and Asikhia, 2019). Contrastingly, walking and cycling rates were found to be highest among the educated population in US (Buehler et al , 2020).…”

Section: Literature Reviewmentioning

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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“…Demographic information is another main factor influencing travel behavior. In addition to population, socioeconomic factors, such as employment and income, are generally recognized as expressing associations with citywide travel (Nkeki & Asikhia, 2019). Normally, densely populated regions (high population or employment) tend to generate more trips.…”

Section: Data Descriptionmentioning

confidence: 99%

Understanding the correlation between destination distribution and urban built environment from taxi GPS data

Liu

Tang

et al. 2022

Transactions in GIS

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Exploring the relationship between travel destinations and urban built environments can help to conduct reasonable measurements in urban transportation planning. Destination distribution is affected by various factors, and quantitative description of the spatial effects is a challenge in factor correlation analysis. In this study, inhomogeneous Poisson point processes are proposed to model the correlation between destination distribution and related categories of variables, including land use, trip origin distribution, demographic information, and transport networks. First, five models based on inhomogeneous Poisson point processes are constructed, considering different combinations of variables. Second, diagnostic methods, including the G-function, smoothed residuals, and parameter influence function, are applied to evaluate the models' performance. Finally, in experiments, the taxi GPS trajectory data collected in Shenzhen City, China, are used to validate the effectiveness of the proposed method. Moreover, in the discussion, the variations of variable coefficients in different time periods (workdays, weekends, and holidays) are analyzed and explained. The results of this study may enhance understanding of the correlation between travel patterns and urban structure.

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Geographically weighted logistic regression approach to explore the spatial variability in travel behaviour and built environment interactions: Accounting simultaneously for demographic and socioeconomic characteristics

Cited by 43 publications

References 53 publications

Socio-economic- and Gender-based Differentials in Choice of Sustainable Mode of Transport: Evidence from Jaipur, India

Socio-economic- and Gender-based Differentials in Choice of Sustainable Mode of Transport: Evidence from Jaipur, India

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

Understanding the correlation between destination distribution and urban built environment from taxi GPS data

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