[1]陈燕,周镇宇,蒋有君,等.长三角城市群路网密度与碳排放时空特征及耦合分析[J].华侨大学学报(自然科学版),2023,44(4):485-494.[doi:10.11830/ISSN.1000-5013.202302005]
　CHEN Yan,ZHOU Zhenyu,et al.Spatial-Temporal Characteristics and Coupling Analysis of Road Network Density and Carbon Emissions in Yangtze River Delta Urban Agglomeration[J].Journal of Huaqiao University(Natural Science),2023,44(4):485-494.[doi:10.11830/ISSN.1000-5013.202302005]
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长三角城市群路网密度与碳排放时空特征及耦合分析()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第44卷
期数:
2023年第4期
页码:
485-494
栏目:
出版日期:
2023-07-17

文章信息/Info

Title:
Spatial-Temporal Characteristics and Coupling Analysis of Road Network Density and Carbon Emissions in Yangtze River Delta Urban Agglomeration
文章编号:
1000-5013(2023)04-0485-10
作者:
陈燕1; 2;  周镇宇1;  蒋有君1;  索心睿1;  宋新山1;  王宇晖1
1. 东华大学 环境科学与工程学院, 上海 201620;2. 中国科学院 流域地理学重点实验室, 江苏 南京 210008
Author(s):
CHEN Yan1;  2;  ZHOU Zhenyu1;  JIANG Youjun1; SUO Xinrui1;  SONG Xinshan1;  WANG Yuhui1
1. School of Environmental Science and Engineering, Donghua University, Shanghai 201620, China; 2. Key Laboratory of Watershed Geography, Chinese Academy of Sciences, Nanjing 210008, China
关键词:
路网密度;  碳排放;  耦合协调;  长三角
Keywords:
road network density;  carbon emission;  coupling coordination;  Yangtze River Delta
分类号:
TU984.1
DOI:
10.11830/ISSN.1000-5013.202302005
文献标志码:
A
摘要:
以长三角为例,基于碳排放空间化模型,在格网尺度下量化分析路网密度与城市群碳排放的时空响应特征,利用耦合协调模型分析区域路网密度与碳排放的耦合协调特征.结果表明:在时空特征上,碳源主要为沿湖沿江的都市功能发达区,碳汇主要为长江、新安江水域及南部林地区,整体呈现碳排放逐渐分散化的趋势;在响应特征上,单位面积碳排放与路网密度呈明显的正相关,人均碳排放与路网密度呈倒U型曲线关系;在耦合特征上,耦合度和耦合协调度均上升,呈现高值区以各大城市地区为中心向周边扩张的发展态势.
Abstract:
Taking the Yangtze River Delta as an example, the spatial-temporal response features of road network density and carbon emission of urban agglomerations at the grid scale is analysed based on the carbon emission spatialization model, and the coupled coordination characteristics of regional road network density and carbon emissions are analysed using the coupled coordination model. The results show that, in terms of spatial-temporal characteristics, carbon sources are mainly developed urban areas along lakes and rivers, and carbon sinks are mainly the waters of the Yangtze River and Xin’an River as well as southern forest areas. Overall, there is a trend of gradual dispersion of carbon emission. In terms of response characteristics, there is a significant positive correlation between ground average carbon emissions and road network density, and an inverted U-shaped relationship between per capita carbon emissions and road network density. In terms of coupling characteristics, the degrees of coupling and coupling coordination both increase. It shows a development trend of high-value areas expanding to the surrounding areas centered on each major urban area.

参考文献/References:

[1] 冯志新,陈颖彪,千庆兰,等.东莞市交通路网格局对城市空间扩张影响研究[J].地球信息科学学报,2014,16(1):79-86.DOI:10.3724/SP.J.1047.2014.00079.
[2] KASRAIAN D,MAAT K,STEAD D,et al.Long-term impacts of transport infrastructure networks on land-use change: An international review of empirical studies[J].Transport Reviews,2016,36(6):772-792.DOI:10.1080/01441647.2016.1168887.
[3] 龙雪琴,关宏志.基于交通方式出行距离需求的网格状城市道路级配[J].北京工业大学学报,2012,38(2):262-268.DOI:10.11936/bjutxb2012020262.
[4] SONG Malin,WANG Shuhong,FISHER R.Transportation, iceberg costs and the adjustment of industrial structure in China[J].Transportation Research Part D: Transport and Environment,2014,32:278-286.DOI:10.1016/j.trd.2014.08.005.
[5] HERRENDORF B,SCHMITZ J,TEIXEIRA A.The role of transportation in US economic development: 1840-1860[J].International Economic Review,2012,53(3):693-716.DOI:10.1111/j.1468-2354.2012.00697.x.
[6] 蔡军,程茂春,朱峰杰.路网规划关键指标对开发强度的影响作用分析: 以国内外24个CBD为例[J].城市规划学刊,2017(1):79-88.DOI:10.16361/j.upf.201701010.
[7] SREELEKHA M G,KRISHNAMURTHY K,ANJANEYULU M V L R.Interaction betweenroad network connectivity and spatialpattern[J].Procedia Technology,2016,24:131-139.DOI:10.1016/j.protcy.2016.05.019.
[8] ZHANG Xueliang.Has transport infrastructure promoted regional economic growth: With an analysis of the spatial spillover effects of transport infrastructure[J].Social Sciences in China,2013,34(2):24-47.DOI:10.1080/02529203.2013.787222.
[9] ZENG Chen,ZHAO Zhe,WEN Cheng,et al.Effect of complex road networks on intensive land use in China’s Beijing-Tianjin-Hebei urban aglomeration[J].Land,2020,9(12):532.DOI:10.3390/land9120532.
[10] OU Jinpei,LIU Xiaoping,LI Xia,et al.Quantifying the relationship between urban forms and carbon emissions using panel data analysis[J].Landscape Ecology,2013,28(10):1889-1907.DOI:10.1007/s10980-013-9943-4.
[11] XIE Rui,FANG Jiayu,LIU Cenjie.The effects of transportation infrastructure on urban carbon emissions[J].Applied Energy,2017,196:199-207.DOI:10.1016/j.apenergy.2017.01.020.
[12] CHEN Xu,XU Huilin,ZHANG Liang,et al.Spatial functional division,infrastructure and carbon emissions: Vidence from China[J].Energy,2022,256:124551.DOI:10.1016/j.energy.2022.124551.
[13] WANG Shaojian,LIU Xiaoping,ZHOU Chunshan,et al.Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities[J].Applied Energy,2017,185:189-200.DOI:10.1016/j.apenergy.2016.10.052.
[14] XIAO Fanyu,PANG Zhengqi,YAN Dan,et al.How does transportation infrastructure affect urban carbon emissions? An empirical study based on 286 cities in China[J].Environmental Science and Pollution Research,2023,30(4):10624-10642.DOI:10.1007/s11356-022-22866-4.
[15] LIN Boqiang,CHEN Yu.Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?[J].Applied Energy,2020,260:114266.DOI:10.1016/j.apenergy.2019.114266.
[16] DZATOR M,ACHEAMPONG A O,DZATOR J.Does transport infrastructure development contribute to carbon emissions? Evidence from developing countries[M]//SINGH P, et al. Environmental Sustainability and Economy.Holland:Elsevier,2021:19-33.
[17] WEI Ting,CHEN Shaoqing.Dynamic energy and carbon footprints of urban transportation infrastructures: Differentiating between existing and newly-built assets[J].Applied Energy,2020,277:115554.DOI:10.1016/j.apenergy.2020.115554.
[18] 唐健雄,何庆,刘雨婧.长三角城市群城镇化质量与规模的时空错位及影响因素分析[J].华中师范大学学报(自然科学版),2022,56(4):703-716.DOI:10.19603/j.cnki.1000-1190.2022.04.020.
[19] CHESHMEHANGI A.China’s New-type urbanisation plan(NUP)and the foreseeing challenges for decarbonization of cities: A review[J].Energy Procedia,2016,104:146-152.DOI:10.1016/j.egypro.2016.12.026.
[20] BORRUSO G.Network density and the delimitation of urban areas[J].Transactions in GIS,2003,7(2):177-191.DOI:10.1111/1467-9671.00139.
[21] SHI Xun.Selection of bandwidth type and adjustment side in kernel density estimation over inhomogeneous backgrounds[J].International Journal of Geographical Information Science,2010,24(5):643-660.DOI:10.1080/13658810902950625.
[22] 李颖,黄贤金,甄峰.江苏省区域不同土地利用方式的碳排放效应分析[J].农业工程学报,2008,24(增刊2):102-107.
[23] 石洪昕,穆兴民,张应龙,等.四川省广元市不同土地利用类型的碳排放效应研究[J].水土保持通报,2012,32(3):101-106.
[24] 肖红艳,袁兴中,李波,等.土地利用变化碳排放效应研究: 以重庆市为例[J].重庆师范大学学报(自然科学版),2012,29(1):38-42.DOI:10.11721/cqnuj20120107.
[25] FANG Jingyun,YANG Yuanhe,MA Wenhong,et al.Ecosystem carbon stocks and their changes in China’s grasslands[J].Science China Life Sciences,2010,53(7):757-765.DOI:10.1007/s11427-010-4029-x.
[26] 赖力.中国土地利用的碳排放效应研究[D].南京:南京大学,2010.
[27] 段晓男,王效科,逯非,等.中国湿地生态系统固碳现状和潜力[J].生态学报,2008,28(2):463-469.DOI:10.3321/j.issn:1000-0933.2008.02.002.
[28] 李峰,刘小阳,刘军,等.夜间灯光数据下河北省能源消费量的空间模拟[J].信阳师范学院学报(自然科学版),2017,30(1):92-96.DOI:10.3969/j.issn.1003-0972.2017.01.020.
[29] 吴健生,牛妍,彭建,等.基于 DMSPS 夜间灯光数据的 1995-2009 年中国地级市能源消费动态[J].地理研究,2014,33(4):625-634.DOI:10.11821/dlyj201404003.
[30] 顾羊羊,乔旭宁,樊良新,等.夜间灯光数据的区域能源消费碳排放空间化[J].测绘科学,2017,42(2):140-146.DOI:10.16251/j.cnki.1009-2307.2017.02.027.
[31] 丛晓男.耦合度模型的形式、性质及在地理学中的若干误用[J].经济地理,2019,39(4):18-25.DOI:10.15957/j.cnki.jjdl.2019.04.003.
[32] 张玉萍,瓦哈甫,哈力克,等.吐鲁番旅游-经济-生态环境耦合协调发展分析[J].人文地理,2014,29(4):140-145.
[33] 田泽,景晓栋,肖钦文.长江经济带碳排放-产业结构-区域创新耦合度及时空演化[J].华东经济管理,2020,34(2):10-17.DOI:10.19629/j.cnki.34-1014/f.190904013.
[34] 赵荣钦,李志萍,韩宇平,等.区域“水-土-能-碳”耦合作用机制分析[J].地理学报,2016,71(9):1613-1628.DOI:10.11821/dlxb201609012.
[35] 张旺,周跃云,胡光伟.超大城市“新三化”的时空耦合协调性分析: 以中国十大城市为例[J].地理科学,2013,33(5):562-569.DOI:10.13249/j.cnki.sgs.2013.05.007.
[36] ZHANG Ning,YU Keren,CHEN Zhongfei.How does urbanization affect carbon dioxide emissions?:Across-country panel data analysis[J].Energy Policy,2017,107:678-687.DOI:10.1016/j.enpol.2017.03.072.

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备注/Memo

备注/Memo:
收稿日期: 2023-02-15
通信作者: 陈燕(1976-),女,副教授,博士,主要从事区域生态环境演变、环境遥感与地理信息系统的研究.E-mail:chenyan-hjxy@dhu.edu.cn.
基金项目: 国家自然科学基金资助项目(41471089); 中国科学院流域地理学重点实验室开放基金资助项目(WSGS2020006); 国家重点研发计划项目(2021YFC3000102)http://www.hdxb.hqu.edu.cn
更新日期/Last Update: 2023-07-20