Private Car Switched to Public Transit by Commuters, in Shanghai, China

Li, Linbo; Wu, Bing; Bai, Yufang

doi:10.1016/j.sbspro.2013.08.147

Cited by 24 publications

(11 citation statements)

References 19 publications

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“…Compared with the people who used private cars, public transportation users had an easier time achieving 10,000 steps due to the walking associated with public transportation [41]. A study conducted in Shanghai showed that females and short-distance private car users were more likely to switch to public transportation [42]. When adjusting for sporting activity, people who regularly cycled for transport were still negatively correlated with medical risk factors [43].…”

Section: Discussionmentioning

confidence: 99%

Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012

Gong

Yuan

Feng

et al. 2020

IJERPH

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Giving the rising trends in obesity and chronic diseases in China, strategies to increase physical activity are important. Transport-related activity is a substantial source of physical activity and can be easily incorporated into the daily lives. It is a key social factor of health, which can help improve people’s mental and physical health and decrease environmental pollution. However, little is known about recent trends in transportation modes and time in China. Between 2002 and 2010–2012, information about transportation behaviors of Chinese population aged 15 years or older were collected within two Chinese Nutrition and Health Surveys. A stratified multistage cluster sampling method was conducted to select participants. Sociodemographic information, transportation modes, and time were collected during face-to-face interviews. The study included 82,377 (mean age 41.2 years) and 143,075 (mean age 48.7 years) participants in the 2002 and 2010–2012 surveys respectively. The weighted prevalence of active transportation (including walking and cycling) decreased from 83.8% in 2002 to 54.3% in 2010–2012 (p < 0.001). During the same period, the number of participants using public transportation (including taking the bus, subway, or shuttle bus) has doubled (7.5% and 15.7%, respectively, for 2002 and 2010–2012, (p < 0.001)), and the proportion of inactive transportation (including driving or taking a car, motorcycle, taxi, or electric bicycle) more than tripled. Concurrently, the transportation time almost doubled with an increase of 25.9 min over the 10 years (p < 0.001). The prevalence of active transportation increased with age. Participants with higher family income and education reported a lower prevalence of active transportation. Females were more likely to use active transportation (OR (95% CI): 4.41 (4.14–4.70) and 2.50 (2.44–2.57), respectively, for 2002 and 2010–2012, where males were the reference). Before the prevalence of active transportation and physical activity gets lower, there is a need for the public health sector and the transport and land use sector to work together to develop related policies and initiatives with the aim of promoting active transportation and public transportation to increase the levels of physical activity and to decrease the risks of chronic diseases.

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Section: Discussionmentioning

confidence: 99%

Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012

Gong

Yuan

Feng

et al. 2020

IJERPH

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“…In some cases, transport policies assume implementing special fees for entering the city centre (Ramosa et al 2017). Wang et al (2013) pointed out that people commuting by private cars pay more attention to comfort, travel time and reliability of the vehicle while the people travelling by the means of public transport cost-effectiveness and the opportunity to relax while travelling are more important.…”

Section: Discussionmentioning

confidence: 99%

“…As for other companies, some of them charge fees for making the data available. Google Maps® gathers and visualises real-time traffic data but it is also possible to check averaged travel time values (Lagrell et al 2018;Wang and Xu 2011;Wang et al 2013;Rothfeld et al 2019). TomTom® and Google Maps®/ Transit are among the most well-known companies gathering and processing traffic data.…”

Section: Introductionmentioning

confidence: 99%

GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland

Goliszek

2021

J Geogr Syst

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This article presents the results of public and private (car) transport accessibility modelling, which gives the room for the comparison of two types of transport throughout the whole day as well as the rush hours. Both public and private transport models are based on public available data, accessible via the Internet which is downloaded using a programming language and processed using the GIS tools. The public transport model is based on the GTFS data (General Transit Feed Specification), while the car model has been created from data on driving times derived from Google Maps® API. Both models presented in the article have been constructed for a specified period of time, namely from 5.00 am to 10.00 pm in 15-min intervals. The analysis of the above-mentioned models has allowed the comparison of differences in potential accessibility and its deviations at different times of the day. The disparities revealed by the study have indicated that there are certain times of the day when public transport is actually competitive with the private means of transport. The results of potential accessibility analysis are visualised with the use of maps, including the choropleth ones.

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“…However, it is not practical for transit to simultaneously improve all attributes which are not good enough, especially when funds are limited or travelers do not think this attribute is important. Hence, it is a question what attributes need urgently to be improved if transit agencies intend to let travelers switch private car to public transit (Wang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Motivating Factors for Private Car Users to Use Public Transport

Anik¹,

Ahmed²,

Atin³

et al. 2018

IJTTE

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Urban areas all over the world are becoming private car-dominated and less sustainable day by day. In order to limit the growth of private cars and to efficiently attract the commuters from private car to public transit, this paper aimed to identify the factors motivating the commuters to use public transport and to find out the attributes of public transport which need urgent improvement. The research was based on a survey of private car users of Dhaka city covering perceptions of public transit service performance, private car users urge to switch to public transport, the relationship between the motivating factors and the socio demographic characteristics of the respondents. The findings of this study indicated that both males and females have a negative attitude towards the public transportation system of the city. The analysis showed that the private car users will be encouraged to switch to public transport if they get facilities like air conditioning system, seat availability, women bus service, clean and comfortable bus etc. The results also showed that majority of the private car users having higher secondary and undergraduate degrees think that people use private car to highlight their social status while the respondents having postgraduate education has a mixed opinion in this regard. The findings of this study will definitely assist the transport policy makers to incorporate the necessities of private car users as public input in the transport planning process.

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Private Car Switched to Public Transit by Commuters, in Shanghai, China

Cited by 24 publications

References 19 publications

Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012

Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012

GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland

Motivating Factors for Private Car Users to Use Public Transport

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