What Influences the Choice Between Private Car and Public Transport for Shopping Trips? Impact of Socio-economic and Built Environment Factors

Li, Jing; Lo, Kevin; Guo, Meng

doi:10.24112/jaes.020103

Cited by 10 publications

(5 citation statements)

References 61 publications

(70 reference statements)

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“…97 This is important because, as China is transitioning to a high-tech, service-based, and consumption-focused economy, 140 carbon emissions from the building and transportation sectors will become much more significant. 141,142 Fourth, the power of surveillance technologies as a policy instrument needs to be better harnessed. The rapid development of surveillance technologies, such as remote sensing and GPS tracking, has provided unprecedented surveillance power.…”

Section: Discussionmentioning

confidence: 99%

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China's renewable energy and energy efficiency policies toward carbon neutrality: A systematic cross-sectoral review

Yang

2023

Energy & Environment

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The ambitious targets of peaking CO2 emissions before 2030 and reaching carbon neutrality before 2060 (Goal 3060) have emerged as the driving force in the development of China's low-carbon energy policy. Adopting a systematic review approach, this article provides a timely analysis of key Chinese renewable energy and energy efficiency policies under Goal 3060 across five sectors: electricity, industry, transportation, buildings, and local governments. In addition, the review identifies challenges to be addressed and offers policy recommendations. There are five main conclusions: (1) expedite the development of market-based and network-based governance systems; (2) pursue the harmonization of policies by avoiding contradiction and fragmentation; (3) develop new policies, especially in the building and transportation sectors; (4) embrace surveillance technologies to improve implementation and compliance; and (5) ensure just transition by implementing policy to reduce the negative socioeconomic impacts on fossil fuels-based communities and workers. This review serves as a useful guide for scholars interested in China's clean and low-carbon energy transition.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

China's renewable energy and energy efficiency policies toward carbon neutrality: A systematic cross-sectoral review

Yang

2023

Energy & Environment

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“…A similar study in China applied a hierarchical structure model to forecast mode choice, and a logical relationship to determine the influential factors using existing trip survey data [22]. Another study in China used a binary logistic model to examine the influential factors on travelers choice between the modes of the private car and public transport [23]. It was found that travelers' gender and auto ownership were the most influential factors on choosing the private vehicle.…”

Section: Subjective Determinants On Mode Choicementioning

confidence: 99%

Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand

et al. 2020

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Increasing use of single or fewer occupant vehicles has increased traffic congestion and transport-related emissions. Public transport as mass transit options are increasingly being encouraged amongst travelers to use, as this is an influential strategy to improve the transport network performance. This paper presents a study based on a revealed preference survey conducted on a random sample of 4467 respondents to understand the influential factors affecting the users’ choice of mass transit in Bangkok, Thailand. This study identified an inversely proportional relationship of socio-economic and spatial attributes on public transport mode choice. The binary logit model was employed to compare the utility of private vehicles and mass transit modes. The results showed that gender, age, average income, auto ownership, total travel cost in private transport, total travel time in public transport and distance range from home to mass transit station were the factors that influenced travelers’ mode choice behavior. Moreover, to ascertain the effects of explanatory variables which influence the likelihood of Thai travelers, another binary logit model analysis was utilized by the four distance ranges condition. The studied results showed that there were few significant differences in the propensity to use mass transit. Due to the longer distance of the station, total travel time in public transport was not affected by the Thai travelers mode choice. This research will aid transport authorities and planners to gain knowledge on the impact of socio-economic and spatial behavior of public transport users on their mode choice, resulting in the development in sustainable transport in Bangkok, Thailand.

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“…The shorter the distance between residents and public transportation, the more likely residents are to use public transportation for their travel. However, research suggests that living near a bus stop does not significantly alter residents' preference for private car travel [36,37]. Improved destination accessibility can shorten commuting distances and reduce the intensity of private car use among residents.…”

Section: Introductionmentioning

confidence: 99%

Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data

Chen

Xiao

2023

Sustainability

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The realization of the “double carbon” goals and the development of green transportation require a focused approach to reducing carbon emissions from private cars. Starting from the perspective of social network analysis, this paper constructs the carbon emission network of private car cross-district mobility based on vehicle trajectory big data in Guangzhou and Foshan and analyzes its spatial network characteristics. Next, the MRQAP model is constructed to examine the impact of built environment factors on carbon emissions from private cars. Furthermore, the paper explores the moderating effect of private car mobility in the central urban area. The results indicate the following: (1) Private vehicle cross-district mobility in the Guangzhou and Foshan region are closely interconnected and exhibit a phenomenon of central clustering. (2) Both population density and the number of road intersections have a positive relationship with private car carbon emissions, and after a series of robustness tests, the results are still valid. (3) Private vehicle mobility in central urban areas contributes to an increase in carbon emissions, and the positive impact is reinforced by population density, while road intersections and private car mobility in central urban areas have a substitutive effect on private car carbon emissions.

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What Influences the Choice Between Private Car and Public Transport for Shopping Trips? Impact of Socio-economic and Built Environment Factors

Cited by 10 publications

References 61 publications

China's renewable energy and energy efficiency policies toward carbon neutrality: A systematic cross-sectoral review

China's renewable energy and energy efficiency policies toward carbon neutrality: A systematic cross-sectoral review

Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand

Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data

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