城市土地利用对居民通勤碳排放的影响研究

doi:10.11870/cjlyzyyhj2016Z1009

摘要/Abstract

摘要： 以南阳市为例，基于3 746组实地调查数据，采用GIS、多元线性回归和结构方程模型，系统分析了我国中部城市居民通勤碳排放的空间分异特征，重点研究了居住地和工作地中小尺度土地利用因子对通勤碳排放的影响机制。研究发现：在内生变量中，通勤距离和通勤方式均是影响居民通勤碳排放的显著因素；在外生变量中，工作地的道路密度和商业用地占比、居住地的人口密度与通勤碳排放呈显著正相关，公交线路数量、居住地的土地利用混合度、工作地的居住用地和工业用地占比与通勤碳排放呈显著负相关。研究成果旨在为研究区城市土地利用优化调控和低碳规划提供决策依据，也为其他同类地区城市土地利用低碳规划与可持续发展提供借鉴。

关键词: 城市土地利用, 通勤碳排放, GIS, 结构方程模型

Abstract: With the aim to provide a basis on which decisions are made with regard to the optimization and low-carbon planning of urban land use in the researched city and offer some insights into low-carbon planning and sustainable development in similar cities, this study investigates the influencing mechanism of land-use factors at medium-and-small scale in the working and living areas on residents' commuting CO₂ emission by means of GIS and statistical methods such as multiple linear regression and structural equation model, with an instance of Nanyang City, Henan Province at the level of individual residents on the basis of 3, 746 sets of data acquired through field survey. The study discovers that among endogenous variables commuting distance and commuting choices are the major factors that have an impact on residents' commuting CO₂ emission, while among the exogenous variables, the road density in the working areas, the proportion of commercial land and the population density in the living areas have significant positive correlation with commuting CO₂ emission, whereas the number of bus routes, the degree of mixed land use in the living areas, the ratio of residential land and industrial land in the working areas have significant negative correlation with commuting CO₂ emission.

Key words: urban land-use, commuting CO₂ emission, GIS, structural equation model

中图分类号:

TU984

戴刘冬, 周锐, 张凤娥, 王新军. 城市土地利用对居民通勤碳排放的影响研究[J]. 长江流域资源与环境, 2016, 25(Z1): 68-77.

DAI Liu-dong, ZHOU Rui, ZHANG Feng-e, WANG Xin-jun. EFFECTS OF URBAN LAND-USE ON RESIDENTS' COMMUTING CO₂ EMISSION[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(Z1): 68-77.

参考文献

[1] IPCC. Climate Change 2013:the Physical Science Basis[R]. Cambridge:Cambridge University Press, 2014.
[2] LIU R F, GUAN C Q. Mode biases of urban transportation policies in China and their implications[J]. Journal of Urban Planning and Development, 2005, 131(2):58-70.
[3] 童抗抗, 马克明. 居住-就业距离对交通碳排放的影响[J]. 生态学报, 2012, 32(10):2975-2984.[TONG K K, MA K M. Significant impact of job-housing distance on carbon emissions from transport:a scenario analysis[J]. Acta Ecologica Sinica, 2012, 32(10):2975-2984.]
[4] ZAHABI S A H, MIRANDA-MORENO L, PATTERSON Z, et al. Transportation greenhouse gas emissions and its relationship with urban form, transit accessibility and emerging green technologies:a Montreal case study[J]. Procedia-Social and Behavioral Sciences, 2012, 54:966-978.
[5] FRANK L D, STONE JR B, BACHMAN W. Linking land use with household vehicle emissions in the central puget sound:methodological framework and findings[J]. Transportation Research Part D:Transport and Environment, 2000, 5(3):173-196.
[6] KENWORTHY J. Transport energy use and greenhouse gases in urban passenger transport systems:a study of 84 global cities[C]//Presented to the international Third Conference of the Regional Government Network for Sustainable Development. Fremantle, Western Australia:Notre Dame University, 2003.
[7] WAYGOOD E O D, SUN Y L, SUSILO Y O. Transportation carbon dioxide emissions by built environment and family lifecycle:case study of the Osaka metropolitan area[J]. Transportation Research Part D:Transport and Environment, 2014, 31:176-188.
[8] 柴彦威, 肖作鹏, 刘志林. 居民家庭日常出行碳排放的发生机制与调控策略-以北京市为例[J]. 地理研究, 2012, 31(2):334-344.[CHAI Y W, XIAO Z P, LIU Z L. Low-carbon optimization strategies based on CO₂ emission mechanism of household daily travels:a case study of Beijing[J]. Geographical Research, 2012, 31(2):334-344.]
[9] 黄晓燕, 李沛权, 曹小曙. 广州社区居民通勤碳排放特征及其影响机理[J]. 城市环境与城市生态, 2014, 27(5):32-38.[HUANG X Y, LI P Q, CAO X S. Characteristics and mechanism of CO₂ emissions from urban commuting in Guangzhou[J]. Urban Environment & Urban Ecology, 2014, 27(5):32-38.]
[10] 黄经南, 高浩武, 韩笋生. 道路交通设施便利度对家庭日常交通出行碳排放的影响——以武汉市为例[J]. 国际城市规划, 2015, 30(3):97-105.[HUANG J N, GAO H W, HAN S S. The effect of traffic facilities accessibility on household commuting caused carbon emission:a case study of Wuhan City, China[J]. Urban Planning International, 2015, 30(3):97-105.]
[11] 马静, 柴彦威, 刘志林. 基于居民出行行为的北京市交通碳排放影响机理[J]. 地理学报, 2011, 66(8):1023-1032.[MA J, CHAI Y W, LIU Z L. The mechanism of CO₂ emissions from urban transport based on individuals' travel behavior in Beijing[J]. Acta Geographica Sinica, 2011, 66(8):1023-1032.]
[12] 赵敏, 张卫国, 俞立中. 上海市居民出行方式与城市交通CO₂排放及减排对策[J]. 环境科学研究, 2009, 22(6):747-752.[ZHAO M, ZHANG W G, YU L Z. Resident travel modes and CO₂ emissions by traffic in Shanghai City[J]. Research of Environmental Sciences, 2009, 22(6):747-752.]
[13] 杨上广, 王春兰, 刘淋. 上海家庭出行碳排放基本特征、空间模式及影响因素研究[J]. 中国人口·资源与环境, 2014, 24(6):148-153.[YANG S G, WANG C L, LIU L. Study on basic characteristics, spatial pattern and influence factors of Shanghai family commuting carbon emission[J]. China Population, Resources and Environment, 2014, 24(6):148-153.]
[14] 朱燕妮, 陈红敏, 陆淼菁. 上海市通勤高碳排放群体识别与特征分析[J]. 资源科学, 2014, 36(7):1469-1477.[ZHU Y N, CHEN H M, LU M J. Identification and analysis of high-emission commuter groups in Shanghai[J]. Resources Science, 2014, 36(7):1469-1477.]
[15] HORNER M W. Extensions to the concept of excess commuting[J]. Environment and Planning A, 2002, 34(3):543-566.
[16] FROST M, LINNEKER B, SPENCE N. Excess or wasteful commuting in a selection of British cities[J]. Transportation Research Part A:Policy and Practice, 1998, 32(7):529-538.
[17] 石天戈, 张小雷, 杜宏茹, 等. 乌鲁木齐市居民出行行为的空间特征和碳排放分析[J]. 地理科学进展, 2013, 32(6):897-905.[SHI T G, ZHANG X L, DU H R, et al. Spatial characteristics of residents' outings and carbon emissions in Urumqi City[J]. Progress in Geography, 2013, 32(6):897-905.]
[18] 倪捷. 中国大众交通变革与应对气候变化和节能减排的责任[R]. 绿源集团, 2009.[NI J. Changes in public transport in China and responsibilities in the face of climate change and energy conservation and emission reduction[R]. Lvyuan Group, 2009.]
[19] EUROPEAN C. TREMOVE Transport Model[M]. Brussels:EC-DG Environment, 2006.
[20] 许学强, 周一星, 宁越敏. 城市地理学[M]. 北京:高等教育出版社, 2004:219-221.[XU X Q, ZHOU Y X, NING Y M. Urban Geography[M]. Beijing:Higher Education Press, 2004:219-221.]
[21] 吴明隆. 结构方程模型-AMOS的操作与应用[M]. 重庆:重庆大学出版社, 2014:1-3.[WU M L. Structural Equation Model:Operations and Applications of AMOS[M]. Chongqing:Chongqing University Press, 2014:1-3.]
[22] 侯杰泰, 温忠麟, 成子娟. 结构方程模型及其应用[M]. 北京:教育科学出版社, 2004.[HAU K T, WEN Z L, CHENG Z J. Structural Equation Model and Its Applications[M]. Beijing:Educational Science Publishing House, 2004.]
[23] 温忠麟, 侯杰泰, 马什赫伯特. 结构方程模型检验:拟合指数与卡方准则[J]. 心理学报, 2004, 36(2):186-194.[WEN Z L, HAU K T, MARSH H W. Structural equation model testing:cutoff criteria for goodness of fit indices and chi-square test[J]. Acta Psychologica Sinica, 2004, 36(2):186-194.]
[24] CAO X Y, MOKHTARIAN P L, HANDY S L. Examining the impacts of residential self-selection on travel behaviour:a focus on empirical findings[J]. Transport Reviews, 2009, 29(3):359-395.

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