The spatial distribution of commuting CO2 emissions and the influential factors: A case study in Xi'an, China

Liu, Yuan-Yuan; Wang, Yuanqing; An, Rui; Li, Chao

doi:10.1016/j.accre.2015.09.001

Cited by 17 publications

(13 citation statements)

References 27 publications

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“…There are many models for predicting species distribution at home and abroad, such as ecological niche factor analysis (ENFA), bioclimatic analysis system (BIOCLIM), genetic algorithm for rule‐set production (GRAP), and maximum entropy mode (MaxEnt). Among them, the MaxEnt has higher modeling accuracy (Phillips & Miroslav, 2008; Zhu et al, 2022), and even in the absence of clear species distribution coordinates, better prediction results can be obtained by determining the latitude and longitude according to the existence points (Liu et al, 2018). It is considered to be one of the most effective prediction methods (Li, Chang et al, 2021; Li, Tang et al, 2021; Zhan et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model

Wang,

Xie,

Zhou

et al. 2023

Ecology and Evolution

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Leonurus japonicus Houtt. is a traditional Chinese medicinal plant with high medicinal and edible value. Wild L. japonicus resources have reduced dramatically in recent years. This study predicted the response of distribution range of L. japonicus to climate change in China, which provided scientific basis for the conservation and utilization. In this study, 489 occurrence points of L. japonicus were selected based on GIS technology and spThin package. The default parameters of MaxEnt model were adjusted by using ENMeva1 package of R environment, and the optimized MaxEnt model was used to analyze the distribution of L. japonicus. When the feature combination in the model parameters is hing and the regularization multiplier is 1.5, the MaxEnt model has a higher degree of optimization. With the AUC of 0.830, our model showed a good predictive performance. The results showed that L. japonicus were widely distributed in the current period. The maximum temperature of warmest month, the min temperature of coldest month, the precipitation of wettest month, the precipitation of driest month, and altitude were the main environmental factors affecting the distribution of L. japonicus. Under the three climate change scenarios, the suitable distribution area of L. japonicus will range shift to high latitudes, indicating that the distribution of L. japonicus has a strong response to climate change. The regional change rate is the lowest under the SSP126‐2090s scenario and the highest under the SSP585‐2090s scenario.

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Section: Introductionmentioning

confidence: 99%

Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model

Wang,

Xie,

Zhou

et al. 2023

Ecology and Evolution

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“…Also, the spreading urban development far away from the urban center would disturb wildlife habitat and result in biodiversity loss [62], and generate more commuting CO 2 emissions as well [63]. Therefore, the land use plan generated in this study could not have been the most practical urbanization plan for the city to implement at this stage.…”

Section: Priority Lands Identification For Land Usesmentioning

confidence: 92%

An Approach to Evaluate Comprehensive Plan and Identify Priority Lands for Future Land Use Development to Conserve More Ecological Values

Zhou

Woodfin

et al. 2018

Sustainability

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Urbanization has significant impacts on the regional environmental quality through altering natural lands, converting them to urban built-up areas. One common strategy applied by urban planners to manage urbanization and preserve natural resources is to make a comprehensive plan and concentrate future land use in certain areas. However, in practice, planners used to make future land use planning mainly based on their subjective interpretations with limited ecological supporting evidence and analysis. Here, we propose a new approach composed of ecological modelling and land use zoning in the spatial matrix to evaluate the comprehensive plan and identify priority lands for sustainable land use planning. We use the city of Corvallis, OR, as the test bed to demonstrate this new approach. The results indicate that the Corvallis Comprehensive Plan 1998-2020 featured with compact development is not performing efficiently in conserving ecological values, and the land use plan featured with mixed-use spreading development generated by the proposed approach meets the city's land demands for urban growth, and conserves 103% more ecological value of retaining storm water nitrogen, 270% more ecological value of retaining storm water phosphorus and 19% more ecological value in storing carbon in the whole watershed. This study indicates that if planned with scientific analysis and evidence, spreading urban development does not necessarily result in less sustainable urban environment than the compact development recommended in smart growth.

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“…Commuting is a transportation issue and significant activity in residents' lives [1]. The huge commute demand causes environmental pollution, traffic jams and energy waste [2,3]. In 2019, China's total annual vehicle emissions were 1.89 MT (million tons) of HC, 7.72MT CO, 7.72 Mt NOx and 0.074 Mt PM [4].…”

Section: Introductionmentioning

confidence: 99%

How Do Neighbourhood and Working Environment Affect Green Commuting in China? A Resident Health Perspective

Chen

Zheng

et al. 2023

PROMTT

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Commuting contributes to high levels of greenhouse gases and air pollution. The recently advocated ‘green commuting’, i.e. active and public modes of transport, will be conducive to low-carbon and environmentally friendly transport. A baseline goal of urban planning is to promote health; however, few studies have explored the health-related impacts of environments at both ends of the commute on residents’ commuting mode choices. To fill the gap, this study proposes to consider the impact of the neighbourhood and working environment on green commuting from a health perspective. Using a sample of 15,886 people from 368 communities in China, three generalised multilevel linear regression models were estimated. Physical and psychological health were combined to further analyse health-related environmental attributes on the commuting choices of residents with different health levels. The results indicate that the working environment exerts more substantial effects on ‘green commuting’ than the neighbourhood environment, especially for workplace satisfaction. Moreover, we found that a good working environment and relationships will significantly encourage the sub-healthy group to choose active commuting. These findings are beneficial for policymakers to consider focusing on reconciling neighbourhood and working environments and meeting the commuting requirements of the less healthy group.

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The spatial distribution of commuting CO2 emissions and the influential factors: A case study in Xi'an, China

Cited by 17 publications

References 27 publications

Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model

Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model

An Approach to Evaluate Comprehensive Plan and Identify Priority Lands for Future Land Use Development to Conserve More Ecological Values

How Do Neighbourhood and Working Environment Affect Green Commuting in China? A Resident Health Perspective

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