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Explore the spatial pattern of carbon emissions in urban functional zones: a case study of Pudong, Shanghai, China

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Abstract

It is crucial for the development of carbon reduction strategies to accurately examine the spatial distribution of carbon emissions. Limited by data availability and lack of industry segmentation, previous studies attempting to model spatial carbon emissions still suffer from significant uncertainty. Taking Pudong New Area as an example, with the help of multi-source data, this paper proposed a research framework for the amount calculation and spatial distribution simulation of its CO2 emissions at the scale of urban functional zones (UFZs). The methods used in this study were based on mapping relations among the locations of geographic entities and data of multiple sources, using the coefficient method recommended by the Intergovernmental Panel on Climate Change (IPCC) to calculate emissions. The results showed that the emission intensity of industrial zones and transport zones was much higher than that of other UFZs. In addition, Moran’s I test indicated that there was a positive spatial autocorrelation in high emission zones, especially located in industrial zones. The spatial analysis of CO2 emissions at the UFZ scale deepened the consideration of spatial heterogeneity, which could contribute to the management of low carbon city and the optimal implementation of energy allocation.

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Data availability

The datasets used during the current study are available from the corresponding author on reasonable request.

Abbreviations

UFZ:

Urban functional zone

IPCC:

Intergovernmental Panel on Climate Change

LMDI:

Logarithmic mean Divisia index

LEAP:

Long-range Energy Alternatives Planning

DMSP-OLS:

Defense Meteorological Satellite Program–Operational Linescan System

NPP-VIIRS:

National Polar-orbiting Operational Environmental Satellite System Preparatory Pro Visible Infrared Imaging Radiometer Suite

POI:

Point-of-interest

OSM:

OpenStreetMap

ESDA:

Exploratory spatial data analysis

LISA:

Local Indicators of Spatial Association

ID:

Industrial zone

TS:

Transport zone

RS:

Residential zone

CT:

Cultural tourism zone

CS:

Commercial service zone

PS:

Public service zone

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Funding

This research was supported by the National Natural Science Foundation of China (No. 72104139) and (No.71972128).

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Authors and Affiliations

  1. College of Transport and Communications, Shanghai Maritime University, Shanghai, 201306, China

    Enyan Zhu & Jian Yao

  2. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai, 201306, China

    Xinghui Zhang & Lisu Chen

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  1. Enyan Zhu
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  2. Jian Yao
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  3. Xinghui Zhang
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  4. Lisu Chen
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Contributions

EZ wrote the manuscript and offered funding to support the research. JY wrote the manuscript and created the tables and figures. XZ collected and analyzed the data. LC provided experimental guidance. All the authors have read and approved the final manuscript.

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Correspondence to Enyan Zhu.

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Zhu, E., Yao, J., Zhang, X. et al. Explore the spatial pattern of carbon emissions in urban functional zones: a case study of Pudong, Shanghai, China. Environ Sci Pollut Res 31, 2117–2128 (2024). https://doi.org/10.1007/s11356-023-31149-5

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  • DOI: https://doi.org/10.1007/s11356-023-31149-5

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