Abstract

Assessing transport CO2 emissions is important in the development of low-carbon strategies, but studies based on mixed land use are rare. This study assessed CO2 emissions from passenger transport in traffic analysis zones (TAZs) at the community level, based on a combination of the mixed-use development model and the vehicle emission calculation model. Based on mixed land use and transport accessibility, the mixed-use development model was adopted to estimate travel demand, including travel modes and distances. As a leading low-carbon city project of international cooperation in China, Shenzhen International Low-Carbon City Core Area was chosen as a case study. The results clearly illustrate travel demand and CO2 emissions of different travel modes between communities and show that car trips account for the vast majority of emissions in all types of travel modes in each community. Spatial emission differences are prominently associated with inadequately mixed land use layouts and unbalanced transport accessibility. The findings demonstrate the significance of the mixed land use and associated job-housing balance in reducing passenger CO2 emissions from passenger transport, especially in per capita emissions. Policy implications are given based on the results to facilitate sophisticated transport emission control at a finer spatial scale. This new framework can be used for assessing the impacts of urban planning on transport emissions to promote sustainable urbanization in developing countries.

Highlights

  • IntroductionReducing greenhouse gas (GHG) emissions as a response to climate change has been listed as part of the Sustainable Development Goals (SDGs) of the “2030 Agenda for Sustainable Development” set by the United Nations

  • The transport sector is a major contributor to greenhouse gas (GHG) emissions, and the road transport sector alone accounted for 18.52%

  • The purpose of this paper is to provide a new framework to estimate CO2 emissions from passenger transport based on mixed land use and transport accessibility for providing a scientific tool of assessing and optimizing land use planning, which can be an important pathway for reducing CO2 emissions from passenger transport and promoting sustainable urbanization

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Summary

Introduction

Reducing greenhouse gas (GHG) emissions as a response to climate change has been listed as part of the Sustainable Development Goals (SDGs) of the “2030 Agenda for Sustainable Development” set by the United Nations. The transport sector is a major contributor to GHG emissions, and the road transport sector alone accounted for 18.52%. Of the global GHG emission in 2016 [1,2]. In developed countries, this proportion could even be over 40% [3,4,5]. China is the country with the highest level of GHG emissions, and the transport sector accounted for 16.22% of the national total amount in 2016 [6]. Its carbon emission growth rate was 12.45% in 2007–2016, ranking first across all sectors [6]

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