Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs’ daily travel mode choice

Liu, Yang; Ji, Yanjie; Shi, Zhuangbin; He, Baohong; Liu, Qiyang

doi:10.1016/j.tranpol.2018.06.004

Cited by 23 publications

(9 citation statements)

References 42 publications

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“…When students travel a long distance to school, policies and measures that encourage them to walk or bicycle to school would be ineffective. In China, although some students live near their schools under the nearby enrollment policy, there are many students, especially in junior and senior high schools, having to travel a long distance to school due to the uneven distribution of educational resources [9,10]. A similar phenomenon can also be found in many developed countries, such as the United States [11] and New Zealand [12].…”

Section: Introductionmentioning

confidence: 83%

“…First, this paper focuses on built environment factors affecting students' metro ridership for TS and RTH at the station level; however, factors at the individual level including students' socioeconomic attributes, information about their family, and information about the parents, and personal attributes are not included in the modeling due to the limitations of the SCD data. However, the student's family, parents and personal attributes are important factors that influence whether students use the metro to travel [9,10,48]. Second, in this paper, land use is measured by POI because data on building size cannot be obtained.…”

Section: Research Limitationsmentioning

confidence: 99%

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The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models

Liu

Shi

et al. 2018

Sustainability

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Long-distance school commuting is a key aspect of students' choice of car travel. For cities lacking school buses, the metro and car are the main travel modes used by students who have a long travel distance between home and school. Therefore, encouraging students to commute using the metro can effectively reduce household car use caused by long-distance commuting to school. This paper explores metro ridership at the station level for trips to school and return trips to home in Nanjing, China by using smart card data. In particular, a global Poisson regression model and geographically weighted Poisson regression (GWPR) models were used to examine the effects of the built environment on students' metro ridership. The results indicate that the GWPR models provide superior performance for both trips to school and return trips to home. Spatial variations exist in the relationship between the built environment and students' metro ridership across metro stations. Built environments around metro stations, including commercial-oriented land use; the density of roads, parking lots, and bus stations; the number of docks at bikeshare stations; and the shortest distance between bike stations and metro stations have different impacts on students' metro ridership. The results have important implications for proposing relevant policies to guide students who are being driven to school to travel by metro instead.

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Section: Introductionmentioning

confidence: 83%

Section: Research Limitationsmentioning

confidence: 99%

The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models

Liu

Shi

et al. 2018

Sustainability

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“…The lack of access to car-based travel also produces transport poverty among children from low-income households. Children from high-income families were more likely to travel to school by car than public transport, whereas children from low-income families tended to walk [46,47]. Children from higher income families sometimes did walk tooespecially if mothers were in charge of the school run (cars were more often used by fathers or paid chauffeurs) [47].…”

Section: Lack Of Access To Private Vehiclesmentioning

confidence: 99%

“…Children from high-income families were more likely to travel to school by car than public transport, whereas children from low-income families tended to walk [46,47]. Children from higher income families sometimes did walk tooespecially if mothers were in charge of the school run (cars were more often used by fathers or paid chauffeurs) [47]. While walking was positive in terms of physical activity, it exposed children to adverse weather, which could be problematic during Beijing's cold winters and hot summers, and to accident risk [46].…”

Section: Lack Of Access To Private Vehiclesmentioning

confidence: 99%

Transport Poverty in Chinese Cities: A Systematic Literature Review

et al. 2021

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The widening income gap in post-reform China has given rise to social inequality. Among those, transport poverty and inequality have significantly affected the daily life of low-income groups. While important, this is an under-researched topic in China. This gap in the academic literature is glaring given the country’s urbanization rates, sprawling cities and income differentials. Most previous studies have only focused on two aspects of transport poverty—job-housing imbalance and accessibility. A comprehensive understanding of the causes and impacts of transport inequality is currently lacking. Therefore, a systematic review of academic literature based on keywords relevant to transport poverty in China was conducted to provide a more complete assessment of the situation in Chinese cities. In total, 62 relevant studies were identified after close examination of the articles (including titles, abstracts, and full-texts). This set of articles allowed a number of general patterns to be identified. It was found that the most common causes of transport poverty include: a lack of access to private vehicles; uneven access to alternative transport options; inadequate public transport provision; jobs-housing imbalance; and the hukou system (a system of household registration which aims to regulate population distribution and rural-to-urban migration). The main impacts of transport poverty include: curtailed mobility and longer travel times; higher household expenditures on travel; reduced access to jobs and essential services; higher household expenditures on travel; and health and environmental issues.

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“…The research on Beijing experience with restrictions has primarily focused on three perspectives. First, the scholars have studied the effectiveness of the policies on alleviating traffic congestion [6,7]. Wen et al [6] pointed out that TDM measures greatly affect congestion levels.…”

Section: Introductionmentioning

confidence: 99%

Can Negative Travel Habits Hinder Positive Travel Behavioural Change under Beijing Vehicle Restrictions?

Dong

Wang

Zhou

2020

PROMET

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Given the rapid development of large cities, the residents faced with pressure both at work and in their personal lives tend to solidify their choice of transport modes and form personal travel habits, which in turn leads to higher requirements for urban traffic management. Based on the modified Theory of Planned Behaviour, the structural equation method is employed to explore people’s travel behaviour. It is found that policy attitude, perceived behaviour control, and subjective norms comprehensively affect the residents’ travel intentions under the Vehicle Restrictions in place in Beijing. The residents without private cars display a stronger intention to change their travel choices under the policies. When considering the mediating effect of travel habits between travel intention and travel choice, the impact of the restrictive policies is weakened. Compared with lower-income people, those with higher incomes demonstrate more stable travel habits in response to the effects of the restrictions. The higher the income, the greater the dependence on private cars exhibited by the residents. To summarize, people’s travel habits weaken to some extent the effects of the restrictive policies. Such policies should be created with the explicit aim of gradually changing the people’s habits.

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Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs’ daily travel mode choice

Abstract: This is a repository copy of Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs' daily travel mode choice.

Cited by 23 publications

References 42 publications

The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models

The Influence of the Built Environment on School Children’s Metro Ridership: An Exploration Using Geographically Weighted Poisson Regression Models

Transport Poverty in Chinese Cities: A Systematic Literature Review

Can Negative Travel Habits Hinder Positive Travel Behavioural Change under Beijing Vehicle Restrictions?

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