Significant impact of job-housing distance on carbon emissions from transport: a scenario analysis

Kangkang, 童抗抗 Tong; Keming, 马克明 Ma

doi:10.5846/stxb201104260551

Cited by 5 publications

(1 citation statement)

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“…Among the built environment indicators, the distance of residential areas from work areas (job-dwelling distance) is also a significant factor influencing traffic emissions. For example, Tong et al (2012) concluded that reducing the distance between work and residence was significant for reducing traffic emissions [ 31 ]. The imbalance in distance between residential and work areas has led to an increase in traffic emissions due to increased long-distance commuting [ 32 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Marginal Effects and Spatial Variations of the Impact of the Built Environment on Taxis’ Pollutant Emissions in Chengdu, China

Zhao

Pan

Yang

2022

IJERPH

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Understanding the impact of the urban built environment on taxis’ emissions is crucial for sustainable transportation. However, the marginal effects and spatial heterogeneity of this impact is worth noting. To this end, we calculated the taxis’ emissions on weekdays and weekends in Chengdu, China, and investigated the impact of the built environment on taxis’ emissions by applying multi-source data and several spatial regression models. The results showed that the taxis’ daily emissions on weekdays were higher than the emissions on weekends. The time heterogeneity of hourly taxis’ emissions was not significant, while the spatial heterogeneity of taxis’ emissions was significant. Except the HHI, the selected built environment variables both had a significant positive effect on taxis’ emissions on the global scale. There was a marginal effect of some built environment variables on taxis’ emissions, such as the density of bus stops and population density. The former exhibited an inhibitory effect on taxis’ emissions only when it was greater than 9 stops/km2, while the latter showed an inhibitory effect only in the range between 16,000 people/km2 and 22,000 people/km2. There were some spatial variations in the effects of built environment factors on taxis’ emissions, with HHI, road density, and accommodation service facilities density showing the most significant variation. The marginal effect and spatial variation of the impact needs to be considered when developing strategies to reduce taxis’ pollutant emissions.

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Section: Literature Reviewmentioning

confidence: 99%

Marginal Effects and Spatial Variations of the Impact of the Built Environment on Taxis’ Pollutant Emissions in Chengdu, China

Zhao

Pan

Yang

2022

IJERPH

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Decoupling analysis of transportation carbon emissions and economic growth in China

Han

Kumar

et al. 2018

Env Prog and Sustain Energy

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The development of low‐carbon transportation is growing rapidly, which plays an increasingly important functional role in economic growth and dealing with climate change. The transport carbon emissions in China between 1995 and 2014 using the Intergovernmental Panel on Climate Change emission‐factor approach are estimated in this research. This article analyzes the decoupling relationship between transport carbon emissions and economic growth in China and puts forward a decoupling volatility index to evaluate the stability of decoupling by applying Tapio's decoupling model which is composed of structure, technology, and scale decoupling elasticity. From the results, the relationships between transport carbon emissions and Gross Domestic Product (GDP), and transport carbon emission and its added value, appear to be complex characteristics of the stages and experience a process of weak decoupling. The relationship between added value of transportation and energy consumption intensity is relatively simple and experience a process of strong negative decoupling, while energy consumption intensity and GDP show a strong decoupling relationship. The four elastic decoupling fluctuation indices are large, which illustrate that the state of decoupling is not stable. Policies are made available to facilitate a better understanding of transportation structure, fuel type, and energy efficiency. Future research will focus on aspects of spatial analysis, formation mechanism, and driver factor analysis. © 2018 American Institute of Chemical Engineers Environ Prog, 37: 1696–1704, 2018

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Consumer Travel Behaviors and Transport Carbon Emissions: A Comparative Study of Commercial Centers in Shenyang, China

Zhang

et al. 2016

Energies

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Current literature highlights the role of commercial centers in cities in generating shopping trips and transport carbon emissions. However, the influence of the characteristics of commercial centers on consumer travel behavior and transport carbon emissions is not well understood. This study addresses this knowledge gap by examining shopping trips to eight commercial centers in Shenyang, China, and the CO 2 emissions of these trips. We found that the locations and types of commercial centers strongly influence CO 2 emissions. CO 2 emissions per trip to commercial centers in the suburbs of Shenyang were on average 6.94% and 26.92% higher than those to commercial centers in the urban core and the inner city, respectively. CO 2 emissions induced by wholesale centers were nearly three times higher than the lowest CO 2 emissions of commercial centers in the inner city. These empirical results enhance our understanding of shopping-related transport carbon emissions and highlight the importance of optimizing urban space structure, in particular, the layout of commercial centers.

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Significant impact of job-housing distance on carbon emissions from transport: a scenario analysis

Cited by 5 publications

References 0 publications

Marginal Effects and Spatial Variations of the Impact of the Built Environment on Taxis’ Pollutant Emissions in Chengdu, China

Marginal Effects and Spatial Variations of the Impact of the Built Environment on Taxis’ Pollutant Emissions in Chengdu, China

Decoupling analysis of transportation carbon emissions and economic growth in China

Consumer Travel Behaviors and Transport Carbon Emissions: A Comparative Study of Commercial Centers in Shenyang, China

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