地理科学进展, 2023, 42(4): 730-741 doi: 10.18306/dlkxjz.2023.04.009

研究论文

城市人居环境感知对幸福感的影响——基于长三角地区城市体检数据的分析

湛东升,1,2, 周玄1, 周侃3,4, 张文忠3,4, 虞晓芬,1,2,*

1.浙江工业大学管理学院,杭州 310023

2.浙江工业大学中国住房和房地产研究院,杭州 310014

3.中国科学院地理科学与资源研究所,中国科学院区域可持续发展分析与模拟重点实验室,北京 100101

4.中国科学院大学资源与环境学院,北京 100049

The impact of perceived urban human settlement quality on subjective well-being: A case study using urban health examination data in the Yangtze River Delta region

ZHAN Dongsheng,1,2, ZHOU Xuan1, ZHOU Kan3,4, ZHANG Wenzhong3,4, YU Xiaofen,1,2,*

1. School of Management, Zhejiang University of Technology, Hangzhou 310023, China

2. China Academy of Housing & Real Estate, Zhejiang University of Technology, Hangzhou 310014, China

3. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

4. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

通讯作者: *虞晓芬(1965— ),女,浙江宁波人,教授,博士生导师,主要研究方向为住房政策。E-mail: yxf@zjut.edu.cn

收稿日期: 2022-12-6   修回日期: 2023-02-27  

基金资助: 国家自然科学基金项目(42001120)
教育部人文社会科学研究青年基金项目(20YJCZH221)
浙江省属高校基本科研业务费专项资金(GB202103004)

Received: 2022-12-6   Revised: 2023-02-27  

Fund supported: National Natural Science Foundation of China(42001120)
Humanities and Social Sciences Research Program of the Ministry of Education(20YJCZH221)
Fundamental Research Funds for the Provincial Universities of Zhejiang(GB202103004)

作者简介 About authors

湛东升(1987— ),男,安徽寿县人,副教授,博士生导师,主要研究方向为城市与区域发展。E-mail: zhands@126.com

摘要

城市体检是促进中国城市人居环境高质量和提升城市居民幸福感的创新举措,但却很少有研究正面关注城市体检社会评价对居民福祉的影响。论文基于2021年住建部在长三角地区8个样本城市开展的大规模城市体检社会满意度调查数据,采用主成分分析和多元回归分析相结合方法,分别探讨了长三角地区居民的城市人居环境质量感知因子及其对居民幸福感的影响,并从以人为本视角提出长三角地区城市人居环境高质量发展策略。研究发现:① 城市体检社会满意度评价指标共提取了7个城市人居环境感知评价主成分因子,分别命名为城市管理、城市活力、城市舒适、城市宜居、城市包容、城市安全和城市便利,累计贡献率达到66.767%。② 城市人居环境感知评价因子均对长三角地区城市居民幸福感具有显著影响,但不同城市人居环境感知评价因子的影响方向却存在差异性。其中,城市管理、城市活力、城市舒适、城市宜居和城市包容等因子显著正向影响幸福感,城市安全和城市便利等因子显著负向影响幸福感。③ 不同城市规模居民幸福感的人居环境主导因子有所不同,同时不同户口和年龄居民幸福感的人居环境影响因素也有差异。研究结果对促进长三角地区城市居民幸福感提升和指导城市人居环境建设具有重要的决策参考作用。

关键词: 城市人居环境; 幸福感; 城市体检; 多元回归分析; 长三角地区

Abstract

Urban health examination is an innovative measure to promote the high-quality development of urban human settlements and improve subjective well-being (SWB) of urban residents in China. However, few studies have focused on the impact of public evaluation of urban health on urban residents' SWB. Drawing on a large-scale questionnaire survey of eight cities in the Yangtze River Delta region collected from the urban health public satisfaction survey conducted by the Ministry of Housing and Urban-Rural Development in 2021, this study used principal component analysis and multiple regression analysis to explore principal components of perceived urban human settlement quality in the region and their impacts on urban residents' SWB, which aimed to put forward the high-quality development strategy of urban human settlements in the Yangtze River Delta region from a people-oriented perspective. The results indicate that: 1) Public satisfaction survey of urban health can extract seven principal components in terms of perceived urban human settlement quality, including urban management, urban vitality, urban comfort, urban livability, urban inclusiveness, urban safety, and urban convenience, and their cumulative contribution rate reached 66.767%. 2) All principal components of perceived urban human settlement quality had a significant impact on the SWB of residents in the region, but the impact direction of different principal components of perceived urban human settlement quality varied. More specifically, the principal components of urban management, urban vitality, urban comfort, urban livability, and urban inclusiveness had a significant positive impact on SWB, while the principal components of urban safety and urban convenience had a significant negative impact on subjective well-being. 3) The impact of perceived urban human settlement quality on SWB not only changed by different sized cities, but also varied by household registration type and age of residents. The findings can play an important role in decision making to promote urban residents' SWB via urban human settlement environment improvement in the Yangtze River Delta region.

Keywords: urban human settlements; subjective well-being; urban health examination; multiple regression model; Yangtze River Delta region

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本文引用格式

湛东升, 周玄, 周侃, 张文忠, 虞晓芬. 城市人居环境感知对幸福感的影响——基于长三角地区城市体检数据的分析[J]. 地理科学进展, 2023, 42(4): 730-741 doi:10.18306/dlkxjz.2023.04.009

ZHAN Dongsheng, ZHOU Xuan, ZHOU Kan, ZHANG Wenzhong, YU Xiaofen. The impact of perceived urban human settlement quality on subjective well-being: A case study using urban health examination data in the Yangtze River Delta region[J]. Progress in Geography, 2023, 42(4): 730-741 doi:10.18306/dlkxjz.2023.04.009

城市人居环境是广大城市居民赖以生存的栖息地,其质量高低是判断人类社会进步和发展的关键指标[1]。促进城市人居环境质量提升,对于吸引国内外投资、提高公共服务品质、提升居民生活质量以及增进百姓生活福祉等诸多方面均具有重要意义,为提升新型城镇化质量发挥了重要支撑作用。但过去粗放型为主的城市发展模式也积累了不少问题,过快的城市化进程造成城市人口密度增加[2-3]、交通拥挤[4]、环境污染[5-7]、绿色空间减少[6]、服务设施配置不均[8]等一系列问题,直接影响居民居住环境和生活品质提升。随着新时代中国社会主要矛盾发生变化,以人为本的城市发展理念开始成为重要发展方向,城市人居环境质量和居民幸福感业已变成中国城市高质量发展的社会关注焦点和科学研究的关键词。在此背景下,加强对中国城市人居环境质量与居民幸福感关系研究,有助于科学指导中国城市人居环境建设方向和促进人民美好生活愿望的实现。

幸福感是个体对其生活的认知和情感评价,已成为生活质量主观评价的常用标准和城市宜居性评判的有效依据[9-10]。虽然居民幸福感评价由众多领域满意度所构成,但城市人居环境领域满意度对居民幸福感的影响却越来越受到学术界的重视。有学者研究发现居住环境感知[11]、城市安全[12]、邻里社会环境[13-14]、住房条件和压力[15-16]等因素对居民幸福感具有显著的影响;还有研究关注了城市居民交通出行和通勤行为等交通因素与其幸福感存在显著的关联特征[17-19]。城市规划和地理学者特别关注城市建成环境和地理背景效应等因素对居民幸福感的作用[20-24];而环境科学领域研究更加重视环境污染和城市蓝绿空间可达性等生态环境质量与居民幸福感的联系[25-26]。但是上述研究只是关注单一维度的城市人居环境要素与居民幸福感的联系,关于城市人居环境综合评价,尤其是基于城市体检社会满意度视角的城市人居环境综合评价,对居民幸福感的影响研究还尤为缺乏。此外,居民个体与家庭社会经济属性也是影响城市居民幸福感评价的重要因素。过去大量研究发现,性别、年龄、学历、家庭年收入、职业、户口类型、住房类型等社会经济属性均是影响居民幸福感差异的潜在因素[10,27-31]。因人群需求不同,还有学者在探讨主观幸福感影响因素时,考虑因住房类型[27]、居民户籍和就业情况[20]等属性特征不同而产生的异质性效应。

城市体检是对城市人居环境发展状况、城市规划建设管理工作的成效进行定期分析、评估、监测和反馈,查找和解决城市发展中的短板弱项,优化城市治理体系和推动以人为本的城市发展,促进城市人居环境高质量发展[32]。受到微观调查大样本数据采集难度的影响,已有研究缺乏利用城市体检数据分析城市人居环境感知评价对居民幸福感的影响。据2021年住建部颁发的城市体检指南,城市体检评价指标体系包括生态宜居、健康舒适、安全韧性、交通便捷、风貌特色、整洁有序、多元包容、创新活力等8大维度城市人居环境评价内容,可直观反映城市人居环境质量的好坏,为及时治理城市病和提升城市居民生活品质提供决策参考。因此,利用城市体检数据分析城市人居环境质量感知评价对居民幸福感的影响,对于以人为本视角的城市人居环境建设研究和提升居民幸福感很有必要。

长三角地区是中国经济发展最活跃、开放程度最高、创新能力最强的区域之一,同时也是国内城市人居环境建设水平的先行者。新近的长三角地区人居环境研究主要关注区域公共服务设施[33]、生态环境质量[34-35]或城市人居环境综合质量评价[36]等客观城市人居环境要素评价。从居民需求视角,探讨长三角地区城市人居环境质量感知评价对幸福感影响的研究还比较缺乏。因此,本文基于2021年城市体检社会满意度调查问卷,从59个试点城市中提取出长三角地区8个城市体检样本城市的47905份调查数据,采用主成分分析和多元回归分析相结合方法,重点探讨长三角地区城市居民的人居环境感知评价因子及其对居民幸福感的影响,并从以人为本视角提出促进长三角地区城市居民福祉提升的人居环境建设路径。

1 数据来源与研究方法

1.1 数据来源

本文研究数据来自住建部于2021年7月在全国59个体检试点城市开展的城市体检社会满意度调查,调查对象主要为16周岁以上的本地常住人口,即相对稳定居住半年以上的居民,不包括短期停留或旅游、务工不足半年的群体。调查方式为社区管理员通过随机抽样方式选取符合条件的被访者,由被访者在线上App网站问卷填写,对于信息化水平较低的老人和其他群体采用社区管理员当场辅导方式的问答式填写[32]。为确保调查数据的代表性、可靠性和丰富性,调研过程还采取了等比例分层抽样、交叉控制配额抽样和随机抽样等多种抽样相结合方法,来有效控制受访者的总体样本结构特征和空间分布特征,以保证受访者总体样本具有充分的代表性。本文的研究区域为长三角地区参与住建部城市体检试点的样本城市,包括上海、杭州、宁波、衢州、南京、徐州、合肥和亳州等共计8个城市,共回收有效问卷数量为47905份。

城市人居环境质量评价内容共包括8大维度67个二级指标(表1),每个二级指标评价均采用李克特五点量表尺度进行指标量化,赋分由积极评价向消极评价依次递减,“很满意”到“很不满意”依次赋值为5~1分。问卷调查还对所有城市人居环境评价内容增加了“不了解”选项,避免居民对调查内容项目了解程度不够可能造成的误答。需要说明的是,鉴于“不了解”选项的被访者选择比例相对较小,仅为3.07%,故将其不参与城市人居环境质量评价得分计算。居民幸福感评价在本次调研问卷中同样采用李克特五点量表尺度进行问答,居民对目前生活状态满意度选项从高到低依次为“非常幸福、幸福、一般、不太幸福、很不幸福”5种,分别赋值5~1分,便于统计分析。

表1   城市人居环境质量社会满意度评价指标

Tab.1  Evaluation indicators of social satisfaction with the quality of urban human settlements

一级指标二级指标
生态宜居X1:开敞空间;X2:亲水空间;X3:人口密度;X4:建筑高度;X5:公园绿地方便性;X6:噪声污染;X7:PM2.5等空气污染;X8:水体污染
多元包容X9:房价可接受程度;X10:房租可接受程度;X11:住房租赁市场的规范程度;X12:外来人口友好性;X13:弱势群体关爱性;X14:最低生活保障水平;X15:保障性住房建设;X16:棚户区及城中村改造水平;X17:盲道占用;X18:路边坡道设置
整洁有序X19:小区垃圾分类;X20:物业管理;X21:街道卫生;X22:窨井盖维护;X23:立杆管理;X24:路灯管理维护;X25:机动车、非机动车停放管理;X26:街道牌匾标识设置管理;X27:停水停电的应急处理措施
创新活力X28:人才引进政策;X29:工作机会;X30:市场环境;X31:科技创新环境;X32:年轻人吸引力;X33:贷款方便程度
健康舒适X34:完整社区;X35:日常就近购物;X36:大型购物中心;X37:社区老年食堂/饭桌;X38:普惠性幼儿园;X39:社区卫生服务中心;X40:社区体育场地;X41:社区充电桩;X42:社区道路、健身器材等基础设施维护;X43:社区活动组织;X44:社区邻里关系;X45:住房质量及维护水平;X46:老旧小区改造水平
安全韧性X47:社会治安;X48:交通秩序;X49:消防安全隐患;X50:紧急避难场所;X51:综合医院就诊等待时间;X52:内涝积水;X53:自然灾害应对;X54:安全事故应对
交通便捷X55:步行环境;X56:骑行环境;X57:公交车准点率;X58:公共交通换乘;X59:轨道交通站点设置;X60:道路通畅性;X61:小汽车停车方便性;X62:通勤时间
风貌特色X63:标志性建筑(特色建筑);X64:文化设施;X65:历史街区保护;X66:历史建筑与传统民居的修复和利用;X67:游客吸引力

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表2为被访者的社会经济属性特征。其中,住房支出表示家庭住房支出(房租和房贷)占家庭总收入的百分比。鉴于住房支出占比为30%是国际上衡量住房支付能力的重要阈值标准,而住房支出占比超过50%,表示居民住房成本负担十分严重,以此作为参考最终将住房支出占比分为6类,方便更清晰地反映不同被访者的住房成本负担。家庭年收入主要指一起居住的家庭人口的总收入,包含工资和年底奖金分红等。考虑到不同城市体检试点城市居民的人居可支配收入有所差异,以 3万元作为最低标准符合小城市居民的实际收入状况;参照2021年全国城镇居民人均可支配收入为4.74万元,接近5万元,故将其作为第二档;2021年部分直辖市的城镇居民人均可支配收入为7~10万元区间[37],故将其进一步细分为不同收入等级;考虑被访者对家庭总收入的回答具有隐私要求,家庭年收入超过10万元后采取较大的收入区间进行划分更为合理。

表2   被访者的社会经济属性特征

Tab.2  Descriptive statistics of characteristics of respondents’ socioeconomic attributes

变量变量设定与说明
居民幸福感很不幸福(0.60%)、不太幸福(2.17%)、一般(22.67%)、幸福(39.17%)、非常幸福(35.39%)
性别男性(55.82%)、女性(44.18%)
年龄20岁以下(1.12%)、20~29岁(5.47%)、30~39岁(12.68%)、40~49岁(23.82%)、50~59岁(35.04%)、60~69岁(19.72%)、70岁以上(2.15%)
教育小学及以下(1.80%)、初中(10.41%)、高中(17.38%)、大专(29.37%)、本科(38.64%)、研究生及以上(2.42%)
职业党政机关或事业人员(19.60%)、企业员工(30.99%)、个体经营者(30.99%)、离退休(8.34%)、其他职业(35.39%)
户籍外地户口(11.09%)、本地户口(88.91%)
住房属性购房(72.00%)、租房(13.83%)、单位提供住宿(3.12%)、借住(1.79%)、共有产权住房(9.26%)
住房支出0,没有住房支出(8.93%);很少,10%及以下(9.70%);11%~20%(11.67%);21%~30%(13.40%);31%~50%(18.12%);51%及以上(38.18%)
家庭年收入3万元以下(7.87%)、3万~4.9万元(10.02%)、5万~6.9万元(14.01%)、7万~9.9万元(18.63%)、10万~19.9万元(29.16%)、20万~29.9万元(12.62%)、30万~49.9万元(5.35%)、50万元以上(2.34%)

注:括号中的数值表示符合该条件被访者占整体被访者数的百分比。

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1.2 研究方法

1.2.1 主成分分析

主成分分析是一种利用降维思想,在损失很少信息的前提下把多个指标转化为几个综合指标的多元统计方法[38,39]。每个主成分都是原始变量的线性组合,且每个主成分之间互不相关,可以有效消除原始变量之间的共线性。与传统直接采用城市人居环境8大维度的主观评价方法相比,主成分分析方法能够避免人为因素的干扰,评价结果相对较为客观和准确。因此,本文采用主成分分析方法提取城市体检社会满意度调查数据中的城市人居环境评价感知因子,以期通过主成分分析从所选取的67个二级指标中提炼成若干个具有代表性的主成分因子,作为长三角地区市民的城市人居环境评价感知因子。

具体做法为:以长三角地区8个体检样本城市的47905位被访者为样本,以8大维度67个城市人居环境评价二级指标数据为变量构建矩阵,采用SPSS 24统计分析软件中的主成分分析方法进行数据降维处理,运算后得出矩阵的特征根和对应的方差贡献率,选择特征根大于1的主成分作为主成分因子,最后根据成分得分系数矩阵计算出每位被访者的城市人居环境感知评价因子得分。

1.2.2 多元线性回归

居民幸福感评价属于典型的有序因变量,通常适合采用有序Probit模型和有序Logit模型进行分析。但研究发现,有序Probit、有序Logit等模型结果与最小二乘法(ordinary least squares,OLS)模型结果基本一致,且OLS模型结果更加直观和方便解释[40]。因此,采用基于OLS方法的多元线性回归模型,进一步探讨长三角地区城市人居环境感知评价因子对幸福感的影响。由于不同等级规模城市的人居环境建设水平和居民满意度与诉求等可能具有差异,不同户籍群体所能享受的公共服务便利性存在较大差别,不同年龄群体对所在城市地方依恋程度和人居环境建设诉求也有所不同,因此,本文还将从城市规模、居民户籍与年龄等视角进一步探讨城市人居环境感知评价对幸福感影响的异质性。多元回归模型公式如下:

Y=β0+β1D1+β2D2+β3D3+ϵi

式中:Y表示居民幸福感;D1为核心解释变量,也就是通过主成分分析法得到的城市人居环境感知评价因子;D2D3为控制变量,分别表示被访者的社会经济属性特征和所居住城市的城市规模;ϵi表示误差项。

2 结果分析

2.1 城市人居环境感知评价主成分因子提取

采用主成分分析方法对长三角地区城市体检社会满意度评价数据进行降维处理,并按照特征根大于1的原则选取主成分,最终提取了7个城市人居环境评价主成分因子,所有主成分因子的累计方差贡献率为66.767%(表3),说明所提取的主成分因子可以包括原始变量的大多数信息,具有较好的代表性。

表3   城市人居环境感知的主成分因子提取

Tab.3  Principal components of perceived urban human settlement quality

主成分因子反映指标信息(旋转后的因子载荷系数>0.5)特征值累计贡献率/%
F1城市活力X4:建筑高度;X12:外来人口友好性;X13:弱势群体关爱性;X14:最低生活保障水平;X15:保障性住房建设;X16:棚户区及城中村改造水平;X28:人才引进政策;X29:工作机会;X30:市场环境;X31:科技创新环境;X32:年轻人吸引力;X33:贷款方便程度;X53:自然灾害应对;X54:安全事故应对35.44552.904
F2城市管理X17:盲道占用;X18:路边坡道设置;X21:街道卫生;X22:窨井盖维护;X24:路灯管理维护;X25:机动车、非机动车停放管理;X26:街道牌匾标识设置管理;X27:停水停电的应急处理措施;X50:紧急避难场所;X52:内涝积水;X55:步行环境;X56:骑行环境;X57:公交车准点率;X58:公共交通换乘;X60:道路通畅性;X62:通勤时间2.42456.521
F3城市舒适X19:小区垃圾分类;X20:物业管理;X21:街道卫生;X23:立杆管理;X34:完整社区;X37:社区老年食堂/饭桌;X38:普惠性幼儿园;X39:社区卫生服务中心;X40:社区体育场地;X41:社区充电桩;X42:社区道路、健身器材等基础设施维护;X43:社区活动组织;X44:社区邻里关系;X45:住房质量及维护水平;X46:老旧小区改造水平2.07659.619
F4城市宜居X1:开敞空间;X2:亲水空间;X3:人口密度;X64:文化设施;X65:历史街区保护;X66:历史建筑与传统民居的修复和利用;X67:游客吸引力1.43861.765
F5城市包容X5:公园绿地方便性;X10:房租可接受程度;X11:住房租赁市场的规范程度;X63:标志性建筑(特色建筑)1.26063.646
F6城市安全X48:交通秩序;X49:消防安全隐患1.05865.224
F7城市便利X35:日常就近购物;X59:轨道交通站点设置1.03466.767

注: F7城市便利维度的因子载荷系数均较小,故保留因子载荷系数>0.4的指标。

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为了更加清晰地反映主成分因子的评价指标信息,将成分矩阵进行最大方差法旋转,得到旋转后的成分矩阵结果(表3)。结果显示:第一主成分(F1)在工作机会(X29)、科技创新环境(X31)、年轻人吸引力(X32)这3个指标有较大正荷系数,是反映城市活力的综合指标;第二主成分(F2)对窨井盖维护(X22)、路灯管理维护(X24)这2个指标有较大正荷系数,是反映城市管理的综合指标;第三主成分(F3)在社区体育场地(X40)、社区充电桩(X41)、社区道路、健身器材等基础设施维护(X42)这3个指标有较大正荷系数,是反映城市舒适的综合指标;第四主成分(F4)在开敞空间(X1)、亲水空间(X2)这2个指标有较大正荷系数,是反映城市宜居的综合指标;第五主成分(F5)在房租可接受程度(X10)、住房租赁市场的规范程度(X11)、标志性建筑(特色建筑)(X63)这3个指标有较大正荷系数,是反映城市包容的综合指标;第六主成分(F6)在交通秩序(X48)、消防安全隐患(X49)这2个指标有较大正荷系数,是反映城市安全的综合指标;第七主成分(F7)在日常就近购物(X35)、轨道交通站点设置(X59)这2个指标有较大正荷系数,是反映城市便利的综合指标。

2.2 城市人居环境感知评价对幸福感的影响

表4为城市人居环境感知评价对幸福感影响的多元线性回归结果。其中,模型1仅引入城市人居环境感知评价因子,模型2引入城市人居环境感知评价因子和居民社会经济属性特征,模型3进一步引入城市规模变量。从模型拟合效果来看,模型3的拟合优度(0.432)高于模型2(0.431)和模型1(0.383)。因此,重点对模型3的回归结果进行分析。

表4   城市人居环境感知评价对幸福感影响的多元回归模型结果

Tab.4  Multiple regression results of the impact of perceived urban human settlement quality on subjective well-being

变量模型1模型2模型3
城市活力0.273***(-89.938)0.240***(-79.862)0.242***(-80.109)
城市管理0.259***(-85.322)0.239***(-79.946)0.240***(-80.149)
城市舒适0.234***(-77.083)0.228***(-76.485)0.228***(-76.607)
城市宜居0.143***(-46.97)0.137***(-46.67)0.137***(-46.751)
城市包容0.237***(-78.073)0.213***(-68.356)0.211***(-67.271)
城市安全-0.040***(-13.143)-0.028***(-9.547)-0.029***(-9.846)
城市便利-0.008*(-2.511)-0.021***(-6.979)-0.022***(-7.382)
性别(参照:女性)
男性0.039***(-6.493)0.041***(-6.701)
年龄(参照:20岁以下)
20~29岁-0.026(-0.859)-0.027(-0.895)
30~39岁-0.089**(-2.929)-0.089**(-2.921)
40~49岁-0.136***(-4.327)-0.136***(-4.32)
50~59岁-0.153***(-4.859)-0.154***(-4.892)
60~69岁-0.131***(-4.128)-0.134***(-4.218)
70岁及以上0.023(-0.627)0.020(-0.549)
教育(参照:小学及以下)
初中0.011(-0.469)0.010(-0.407)
高中0.006(-0.236)0.006(-0.273)
大专-0.021(-0.891)-0.019(-0.804)
本科-0.046(-1.929)-0.043(-1.802)
研究生及以上-0.021(-0.694)-0.017(-0.556)
职业(参照:离退休)
其他职业-0.039*(-2.462)-0.040*(-2.536)
个体经营者0.045*(-2.303)0.038*(-1.964)
企业员工-0.061***(-3.768)-0.063***(-3.932)
党政机关或事业人员-0.020(-1.175)-0.018(-1.082)
户籍(参照:外地户口)
本地户口0.173***(-16.858)0.175***(-17.048)
住房属性(参照:借住)
单位提供住宿0.086**(-3.108)0.085**(-3.079)
共有产权住房0.214***(-8.901)0.217***(-9.061)
租房0.081***(-3.491)0.081***(-3.49)
购房0.244***(-10.973)0.244***(-10.967)
住房支出(参照:51%及以上)
31%~50%0.128***(-9.409)0.128***(-9.442)
21%~30%0.204***(-15.611)0.206***(-15.736)
11%~20%0.292***(-22.813)0.293***(-22.939)
很少,10%及以下0.329***(-26.838)0.331***(-27.058)
0,没有住房支出0.326***(-28.594)0.330***(-28.875)
家庭年收入(参照:3万元以下)
3万~4.9万元0.067***(-4.774)0.068***(-4.849)
5万~6.9万元0.091***(-6.839)0.094***(-7.129)
7万~9.9万元0.128***(-10.024)0.133***(-10.426)
10万~19.9万元0.192***(-15.632)0.198***(-16.064)
20万~29.9万元0.269***(-19.236)0.275***(-19.623)
30万~49.9万元0.336***(-19.632)0.341***(-19.945)
50万元及以上0.385***(-17.282)0.391***(-17.569)
城市规模(参照:其他城市)
省会城市/直辖市-0.040***(-6.221)
常数4.066***(-1338.202)3.441***(-80.489)3.457***(-80.751)
拟合优度(R2)0.3830.4310.432

注:***、**、*分别表示P<0.01、P<0.05、P<0.1;括号内数字为标准误差;下同。

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模型3的结果表明,7个城市人居环境评价感知因子均对长三角地区城市居民幸福感具有显著的影响。其中,城市活力、城市管理、城市舒适、城市包容、城市宜居等因子均对长三角地区城市居民幸福感有显著正向影响,且影响强度依次递减,对应的回归系数分别为0.242、0.240、0.228、0.211和0.137,均通过了0.01的显著性水平检验。从回归系数看,城市活力、城市管理和城市舒适等城市人居环境感知因子是影响长三角地区城市居民幸福感更为关键的因素。而城市安全和城市便利因子却对长三角地区城市居民幸福感具有显著的负向影响,回归系数分别为-0.029和-0.022,均通过0.01的显著性水平检验。这与过去研究结论不太一致[41],这种负向影响的可能原因是,城市安全因子是对交通秩序和消防安全隐患的表征,城市安全评价高值区通常分布在低密度的城市郊区,进而可能对居民幸福感造成负面影响;城市便利因子重点反映日常就近购物和轨道交通站点设置,由于大城市内部的商业综合体覆盖范围还不够广泛,以及轨道交通站点设置并不特别方便和人性化,容易对居民幸福感产生一定的负面影响。

在社会经济属性特征方面,与女性相比,男性对居民幸福感有显著正向影响,这与部分国内城市案例研究结论相似[42]。相对20岁以下的参照组,30~39、40~49、50~59、60~69岁的人群对居民幸福感有显著负向影响,表明年龄越大居民的幸福感越低。与离退休相比,其他职业、个体经营者、企业员工对居民幸福感有显著负向影响,其中企业员工的负向影响最显著,回归系数为-0.063。与外地户口相比,本地户口对居民幸福感有显著正向影响,与既有研究结果一致[27],表明在其他条件不变的情况下,本地户口居民幸福感比外地户口居民幸福感平均值要高出0.175分。与借住相比,单位提供住宿、共有产权住房、租房、购房对居民幸福感有显著正向影响,表明住房产权稳定居民的幸福感更高。与51%及以上住房支出群体相比,居民住房支出为31%~50%、21%~30%、11%~20%、10%及以下和没有住房支出对幸福感具有显著正向影响,说明居民住房支出越低,其幸福感越高。与3万元以下家庭年收入群体相比,家庭年收入为3万~4.9万元、5万~6.9万元、7万~9.9万元、10万~19.9万元、20万~29.9万元、30万~49.9万元、50万元及以上等群体的居民幸福感显著更高,说明居民家庭年收入的增加有助于提升其幸福感。

另外,城市规模类型也是影响长三角地区城市居民幸福感的显著因素。与居住在其他城市相比,居住在省会城市/直辖市对长三角地区城市居民幸福感具有显著的负向影响,回归系数为-0.040,通过0.01的显著性水平检验。这与其他学者认为城市规模对幸福感存在非线性影响的研究结论较为相似[28],可能因为长三角地区省会城市和直辖市比其他中小城市可能表现出更多的城市病,如住房压力较大、交通拥堵严峻和生态空间缺乏等。

2.3 异质性分析

为进一步分析城市人居环境感知评价因子与幸福感的联系在不同城市规模、户籍和年龄之间是否存在异质性,采用多元回归模型对不同城市规模、户籍和年龄类型的子样本分别建模分析。表5表6分别为不同城市规模、户口类型和年龄的异质性回归结果。从模型拟合效果来看,其他城市模型的拟合优度(0.442)高于省会城市/直辖市模型的拟合优度(0.420),本地户口模型的拟合优度(0.420)高于外地户口模型的拟合优度(0.407),老年人模型的拟合优度(0.460)高于中年人(0.424)和青年人模型的拟合优度(0.409)。

表5   不同城市规模和户籍异质性的回归结果

Tab.5  Heterogeneity regression results of different sized cities and household registration groups

变量城市规模户籍类型
模型4:省会城市/直辖市模型5:其他城市模型6:本地人口模型7:外地人口
城市活力0.247***(-64.042)0.237***(-47.905)0.236***(-74.248)0.266***(-28.909)
城市管理0.245***(-64.677)0.229***(-46.329)0.240***(-75.976)0.237***(-25.610)
城市舒适0.227***(-61.105)0.230***(-45.372)0.231***(-74.051)0.202***(-20.710)
城市宜居0.139***(-37.366)0.133***(-27.708)0.139***(-44.762)0.126***(-14.123)
城市包容0.215***(-56.701)0.207***(-36.6170.208***(-63.752)0.242***(-22.759)
城市安全-0.028***(-6.717)-0.036***(-8.425)-0.029***(-8.992)-0.020***(-2.846)
城市便利-0.028***(-7.045)-0.010*(-2.229)-0.023***(-7.245)-0.007(-0.707)
控制变量控制控制控制控制
拟合优度(R2)0.4200.4420.4200.407

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表6   不同年龄异质性的回归结果

Tab.6  Heterogeneity regression results of different age groups

变量年龄类型
模型8:青年人模型9:中年人模型10:老年人
城市活力0.213***(-32.716)0.243***(-60.521)0.264***(-40.876)
城市管理0.241***(-36.574)0.242***(-61.508)0.234***(-36.343)
城市舒适0.240***(-37.674)0.229***(-59.710)0.217***(-30.971)
城市宜居0.137***(-20.985)0.138***(-35.911)0.138***(-21.862)
城市包容0.174***(-25.619)0.220***(-53.267)0.211***(-30.847)
城市安全-0.026***(-3.966)-0.031***(-7.387)-0.025***(-4.835)
城市便利-0.013*(-2.070)-0.026***(-6.784)-0.018**(-2.713)
控制变量控制控制控制
拟合优度(R2)0.4090.4240.460

注:青年人、中年人和老年人分别指被访者的年龄为39岁以下、40~59岁和60岁及以上。

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模型4结果显示,城市活力、城市管理、城市舒适、城市包容和城市宜居等因子对长三角地区省会城市/直辖市居民幸福感具有显著的正向影响,且影响强度依次递减,说明这些因子是影响长三角地区省会城市/直辖市居民幸福感的相对重要因子。模型5结果显示,城市活力、城市舒适、城市管理、城市包容、城市宜居等因子与长三角地区其他城市居民幸福感具有显著的正相关,且影响强度依次递减,说明其他城市居民幸福感也受到城市活力、城市舒适、城市管理和城市包容等因子的影响,但相对于省会城市/直辖市居民而言,城市舒适因子的影响强度更大,变为第二重要因子。另外,城市安全和城市便利因子对长三角地区省会城市/直辖市和其他城市居民幸福感均具有显著的负向影响。但有所区别的是,城市安全和城市便利因子对长三角地区省会城市/直辖市居民幸福感的影响强度相近,回归系数均为-0.028;对其他城市居民幸福感的影响系数分别为-0.036和-0.010,说明其他城市居民幸福感受到城市安全因子的负面制约作用更强。

模型6结果显示,长三角地区本地人口幸福感主要与城市管理、城市活力、城市舒适、城市包容和城市宜居等因子具有显著的正相关,且关联强度依次递减;同模型3基准模型类似,城市安全和城市便利因子对本地人口幸福感也具有显著的负向影响,且城市安全因子的负面影响强度更大。模型7结果显示,城市活力、城市包容、城市管理、城市舒适和城市宜居因子均对长三角地区外地人口幸福感具有显著的正向影响,且影响强度依次递减。另外,城市安全因子对外地人口幸福感具有显著的负向影响,而城市便利因子的影响并不显著,这与其他学者研究发现类似[20],说明外地人口幸福感对城市安全因子更加敏感。

由于不同年龄群体的城市人居环境诉求并不一致,把被访者年龄为39岁以下、40~59岁、60岁及以上分别划分为青年人、中年人和老年人组,进一步分析不同年龄人群的异质性(表6)。由表6可知,模型8结果显示,城市管理、城市舒适、城市活力、城市包容、城市宜居等因子均对长三角地区青年人幸福感具有显著正向影响,且影响强度依次递减;模型9结果显示,城市活力、城市管理、城市舒适、城市包容和城市宜居因子均对长三角地区中年人幸福感具有依次递减的显著正向影响,说明城市活力主成分因子的影响强度最大;模型10结果显示,城市活力、城市管理、城市舒适、城市包容、城市宜居等主成分因子与老年人幸福感具有显著的正相关,且影响强度依次递减;另外,模型8~10结果均显示,城市安全和城市便利因子对长三角地区青年人、中年人和老年人幸福感均存在显著的负向影响,且城市安全因子的负面影响更强。

3 结论与政策启示

本文基于2021年长三角地区城市体检社会满意度度调查数据,利用主成分分析和多元回归分析相结合方法,分别探讨了长三角地区城市人居环境感知评价因子及其对居民幸福感的影响,得出以下主要结论:

(1) 长三角地区城市体检社会满意度评价指标共可以提取出7个城市人居环境感知评价主成分因子,累计贡献率达到66.767%,分别命名为城市管理、城市活力、城市舒适、城市宜居、城市包容、城市安全和城市便利因子。

(2) 多元线性回归结果表明,城市活力、城市管理、城市舒适、城市包容和城市宜居等因子均对长三角地区城市居民幸福感具有显著的正向影响,且5个因子的影响强度依次递减;而城市安全和城市便利因子对长三角地区城市居民幸福感具有显著的负面影响。另外,性别、年龄、职业、户籍、住房属性、住房支出和家庭年收入等社会经济属性变量和城市规模特征也对长三角地区城市居民幸福感具有显著的影响。

(3) 异质性分析结果表明,城市人居环境感知评价因子对不同城市规模、户籍和年龄人群的幸福感影响有所差异。在城市规模方面,省会城市/直辖市居民幸福感主要受到城市活力、城市管理、城市舒适等因子的正向影响,而其他城市居民幸福感主要与城市活力、城市舒适和城市管理等因子具有更强的正相关。在户籍方面,本地人口幸福感受到城市管理和城市活力因子的正向影响较大,同时受到城市安全和城市便利主成分因子的负向影响;而外地人口幸福感受到城市活力和城市包容因子的正向影响较大,仅受到城市安全因子的负向影响。在年龄方面,青年人幸福感受到城市管理因子的正向影响最大,而中年人和老年人幸福感受到城市活力因子的正向影响最大。

结合上述研究结论,本文认为,可以从以人为本视角提出促进长三角地区城市居民幸福感提升的城市人居环境建设政策建议。

第一,促进长三角地区城市人居环境要素品质提升。根据多元线性回归结果,城市活力、城市管理、城市舒适、城市宜居和城市包容等因子均对长三角地区城市居民幸福感具有显著的正向影响,说明提高不同维度城市人居环境感知评价因子得分,均有助于提高长三角地区城市居民幸福感。另外,从相对影响力来看,城市规划和管理部门应该优先加强长三角地区的城市活力、城市管理和城市舒适维度建设,提升这些维度的居民感知评价,有助于更快地提升居民幸福感。

第二,重点改善长三角地区城市便利和城市安全条件。根据多元线性回归结果,城市便利和城市安全因子对城市居民幸福感产生显著负向影响,说明城市人居环境建设不应该存在短板环境,只有注重不同维度城市人居环境感要素的协同建设,尽快解决城市便利和城市安全建设领域出现的社会问题,才能正面促进城市居民幸福感提升。为此,长三角城市群城市规划和政府职能部门应不断提升交通规范化、智能化管理水平,努力营造安全便捷、高效畅通的交通环境,抓紧建设城市安全风险监测预警信息平台,综合运用信息共享等手段,提高城市安全风险研判水平,有助于提升城市居民幸福感。

第三,加强城市人居环境区域一体化建设。不同地区城市人居环境建设的侧重点应该有差异,相较于长三角地区省会城市/直辖市,其他城市居民幸福感受到城市舒适因子的正向促进作用和城市安全因子的负面制约作用更强。因此,优先弥补其他城市人居环境建设在城市舒适和城市安全等领域的短板环节,促进长三角地区城市人居环境区域一体化建设;重点加强其他普通城市的城市基础设施改善、公共服务设施均等化建设和城市安全工作,细化城市运行重大安全风险防控,切实加强城市灾害防治体系建设,进而提升其他城市居民幸福感。

第四,促进城市人居环境空间公平建设。不同社会人群的城市人居环境建设需求存在一定差异。相较本地人口,外地人口幸福感受到城市活力和城市包容因子的正向促进作用更强,受到城市安全因子的负向制约作用更弱。为此,政府部门应加强城市活力和城市包容性建设来提高城市对外来人口的吸引力,进而提高社会弱势群体的生活满意度。鉴于城市管理感知评价是影响青年人幸福感的最重要因素,不断提高城市基础设施管理和维护水平,有助于建设青年友好型城市和增进青年人幸福感。

本文还存在一些研究不足需要改善。首先,本文只选取了2021年城市体检调查问卷数据进行截面分析,不同年份城市体检社会满意度的长时间序列追踪分析仍需进一步加强;其次,仅从居民感知评价视角分析了城市人居环境感知因素对长三角地区居民幸福感的影响,并没有考虑城市人居环境客观评价要素,未来研究可以结合城市人居环境主客观综合评价,探讨其对居民幸福感的综合影响;最后,主要侧重居民个体视角分析,没有充分考虑每个被访者所处城市地理单元的背景效应影响,后期研究可以采用多层次模型方法进一步继续完善研究。

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DOI:10.22217/upi      URL     [本文引用: 1]

Diener E, Oishi S, Tay L.

Advances in subjective well-being research

[J]. Nature Human Behaviour, 2018, 2(4): 253-260.

DOI:10.1038/s41562-018-0307-6      PMID:30936533      [本文引用: 2]

The empirical science of subjective well-being, popularly referred to as happiness or satisfaction, has grown enormously in the past decade. In this Review, we selectively highlight and summarize key researched areas that continue to develop. We describe the validity of measures and their potential biases, as well as the scientific methods used in this field. We describe some of the predictors of subjective well-being such as temperament, income and supportive social relationships. Higher subjective well-being has been associated with good health and longevity, better social relationships, work performance and creativity. At the community and societal levels, cultures differ not only in their levels of well-being but also to some extent in the types of subjective well-being they most value. Furthermore, there are both universal and unique predictors of subjective well-being in various societies. National accounts of subjective well-being to help inform policy decisions at the community and societal levels are now being considered and adopted. Finally we discuss the unknowns in the science and needed future research.

Zhang Z, Zhang J X.

Perceived residential environment of neighborhood and subjective well-being among the elderly in China: A mediating role of sense of community

[J]. Journal of Environmental Psychology, 2017, 51: 82-94.

DOI:10.1016/j.jenvp.2017.03.004      URL     [本文引用: 1]

Fleming C M, Manning M, Ambrey C L.

Crime, Greenspace and life satisfaction: An evaluation of the New Zealand experience

[J]. Landscape and Urban Planning, 2016, 149: 1-10.

DOI:10.1016/j.landurbplan.2015.12.014      URL     [本文引用: 1]

Liu Y Q, Zhang F Z, Liu Y, et al.

Economic disadvantages and migrants' subjective well-being in China: The mediating effects of relative deprivation and neighbourhood deprivation

[J]. Population Space and Place, 2019, 25(2). doi: 10.1002/psp.2173.

[本文引用: 1]

湛东升, 张文忠, 党云晓, .

中国流动人口的城市宜居性感知及其对定居意愿的影响

[J]. 地理科学进展, 2017, 36(10): 1250-1259.

DOI:10.18306/dlkxjz.2017.10.007      [本文引用: 1]

流动人口是中国城镇化进程的重要参与者,加强其定居意愿特征分析对制定中国新型城镇化发展政策具有重要参考价值。基于中国40个主要城市的宜居城市问卷调查数据,运用描述统计和地理探测器方法,揭示中国流动人口的城市宜居性感知特征及其对定居意愿的影响。研究结果表明:①中国流动人口的城市宜居性感知评价分异明显,呈现出“公共服务设施便利性>自然环境舒适性>社会人文环境舒适性>环境健康性>交通便捷性>城市安全性”的递减特征;②中国流动人口的公共服务设施便利性、社会人文环境舒适性、环境健康性和城市安全性等4个维度城市宜居性感知对其定居意愿具有显著影响,且影响强度依次递减,但二者关系并不完全呈简单的线性特征。③相对他人收入满意度、生活满意度、住房价格感知和地理区位等参照变量,以及年龄、性别和职业等个体与家庭属性也是影响中国流动人口定居意愿的重要因素。

[ Zhan Dongsheng, Zhang Wenzhong, Dang Yunxiao, et al.

Urban livability perception of migrants in China and its effects on settlement intention

Progress in Geography, 2017, 36(10): 1250-1259. ]

DOI:10.18306/dlkxjz.2017.10.007      [本文引用: 1]

Migrants play an important role in the process of China's urbanization. Therefore, understanding the determinants of their settlement intention is of great importance for making national new urbanization policies. Drawing on the livable cities survey conducted in 40 major cities in China, descriptive statistics and geographical detector methods were employed to examine the characteristics of migrants' urban livability perception and its effects on their settlement intention, respectively. The results show that: (1) Migrants' urban livability perception differs greatly between livability indicators—the ranking of importance is convenience of access to public facilities > comfort of natural environment > comfort of social environment > environmental health > convenience of transportation > security in the city. (2) Four dimensions of migrants' urban livability perception, including convenience of access to public facilities, comfort of social environment, environmental health, and security in the city, have significant effects on settlement intention with decreasing weights, but the correlations are not always linear. (3) Selected control variables, including migrants' relative income satisfaction, life satisfaction, perceived housing price, and geographic locations, and individual and family attributes such as age, gender, and occupation, also exert significant effects on settlement intention.

Zhan D S, Kwan M-P, Zhang W Z, et al.

The impact of housing pressure on subjective well-being in urban China

[J]. Habitat International, 2022, 127: 102639. doi: 10.1016/j.habitatint.2022.102639.

URL     [本文引用: 1]

Zhang F, Zhang C Y, Hudson J.

Housing conditions and life satisfaction in urban China

[J]. Cities, 2018, 81: 35-44.

DOI:10.1016/j.cities.2018.03.012      URL     [本文引用: 1]

吴江洁, 孙斌栋.

通勤时间的幸福绩效: 基于中国家庭追踪调查的实证研究

[J]. 人文地理, 2016, 31(3): 33-39.

[本文引用: 1]

[ Wu Jiangjie, Sun Bindong.

The impact of commuting time on subjective happiness: Evidence from China Family Panel Survey data

Human Geography, 2016, 31(3): 33-39. ]

[本文引用: 1]

Ettema D, Friman M, Garling T, et al.

How in-vehicle activities affect work commuters' satisfaction with public transport

[J]. Journal of Transport Geography, 2012, 24: 215-222.

DOI:10.1016/j.jtrangeo.2012.02.007      URL     [本文引用: 1]

Wu W J, Sun R N, Yun Y W, et al.

Excess commuting, rail access and subjective wellbeing

[J]. Transportation Research Part D: Transport and Environment, 2022, 111: 103440. doi: 10.1016/j.trd.2022.103440.

URL     [本文引用: 1]

刘晔, 肖童, 刘于琪, .

城市建成环境对广州市居民幸福感的影响: 基于15 min步行可达范围的分析

[J]. 地理科学进展, 2020, 39(8): 1270-1282.

DOI:10.18306/dlkxjz.2020.08.003      [本文引用: 3]

人民群众幸福感的提升,是新型城镇化的落脚点,改善人居环境是城镇化质量提升的必然要求。既有的社区环境与居民幸福感关系的研究大多基于行政管辖范围评估社区的建成环境状况,且忽视了城市建成环境影响居民幸福感的中间机制。论文基于广州市23个社区采集的问卷调查数据,利用多层线性回归模型、中介效应分析和分层分析,识别影响居民幸福感的建成环境因素,揭示了居住满意度所起到的中介作用,尤其关注缓冲区的重新划定对分析结果的影响,以及建成环境对幸福感影响的异质性效应。结果表明:① 相较于行政管辖范围和1000 m面要素缓冲区,基于15 min步行可达范围所提取的建成环境指标与居民主观幸福感的关联程度更高;② 人均绿地面积、POI点密度与居民幸福感呈正相关关系,人口密度与幸福感呈负相关关系;③ 居住满意度在POI点密度与居民主观幸福感之间的关系中发挥了完全中介作用;④ 异质性分析结果表明,社区建成环境与个体幸福感的关联程度因居民的户籍、住房产权和就业情况不同而呈现显著差异。

[ Liu Ye, Xiao Tong, Liu Yuqi, et al.

Impacts of urban built environments on residents' subjective well-being: An analysis based on 15-minute walking distance

Progress in Geography, 2020, 39(8): 1270-1282. ]

[本文引用: 3]

刘义, 刘于琪, 刘晔, .

邻里环境对流动人口主观幸福感的影响: 基于广州的实证

[J]. 地理科学进展, 2018, 37(7): 986-998.

DOI:10.18306/dlkxjz.2018.07.012      [本文引用: 1]

推进新型城镇化的可持续发展需要坚持以人为本。流动人口作为城镇化的主体,其主观幸福感的水平是衡量当前城镇化质量的重要依据。现有研究较少关注流动人口主观幸福感在城市微观尺度的空间差异性,少有研究探讨邻里环境对流动人口主观幸福感的影响。本文基于2015年广州调查问卷数据,采用多层线性回归模型,探讨了广州流动人口主观幸福感的水平及其主要影响因素,重点关注社会支持、邻里建成环境与社会环境等因素的影响。研究发现,广州流动人口的主观幸福感平均水平仍然较低,具体表现为:①流动人口的生活满意度较低、消极情感偏高;②流动人口的主观幸福感存在显著的地理空间异质性;③邻里社会环境(如邻里贫困、人口密度)与生活满意度、积极情感存在显著的负相关,邻里建成环境(如整洁程度、交通可达性)与生活满意度呈显著正相关。其中,邻里流动人口比重和人口密度,与流动人口的消极情感得分呈显著负相关;④广泛的社会支持能显著提升人口的生活满意度。因此,减少地区贫困、营造良好的社会环境、拓展社会支持的来源等都将有助于流动人口主观幸福感的提升以及新型城镇化的推进。

[ Liu Yi, Liu Yuqi, Liu Ye, et al.

Impacts of neighborhood environments on migrants' subjective wellbeing: A case study of Guangzhou, China

Progress in Geography, 2018, 37(7): 986-998. ]

DOI:10.18306/dlkxjz.2018.07.012      [本文引用: 1]

A sustainable new type of urbanization in China should be "people-oriented." Migrants are the main body of new urban residents, and their subjective wellbeing is one of the significant criteria for measuring the quality of urbanization. A plethora of literature has shed light on the low quality of migrants' lives, however, little research has been done to understand how migrants evaluate their own lives in host cities, and no study has been undertaken to link migrants' subjective wellbeing with their residential environments. Using the data collected from a questionnaire survey in Guangzhou and multilevel linear models, this study examined the determinants of migrants' subjective wellbeing in host cities. It particularly focused on the extent to which and how migrants' social ties and residential environment influence their subjective wellbeing. The results indicate that in general, migrants have a lower level of subjective wellbeing than local residents, and the cognitive and emotional components of migrants' subjective wellbeing are influenced by different factors. Social support and neighborhood environment matter in determining the cognitive component of migrants' wellbeing (life satisfaction), but the emotional component of their wellbeing (positive and negative affects) is influenced partly by some of the selected variables of neighborhood social or built environments, and no evidence shows any impact of social support. Meanwhile, dwelling conditions also show an impact on migrants' life satisfaction and negative affect.

Wang X Q, Wang W F, Yin C Y, et al.

Relationships of life satisfaction with commuting and built environment: A longitudinal analysis

[J]. Transportation Research Part D: Transport and Environment, 2023, 114: 103513. doi: 10.1016/j.trd.2022.103513.

URL     [本文引用: 1]

Mouratidis K.

Urban planning and quality of life: A review of pathways linking the built environment to subjective well-being

[J]. Cities, 2021, 115: 103229. doi: 10.1016/j.cities.2021.103229.

URL     [本文引用: 1]

Su L L, Zhou S H, Kwan M P, et al.

The impact of immediate urban environments on people's momentary happiness

[J]. Urban Studies, 2022, 59(1): 140-160.

DOI:10.1177/0042098020986499      URL     [本文引用: 1]

The research interest of urban researchers and geographers in the relationship between urban environments and happiness has been increasing. Previous studies have mostly focused on people’s long-term overall wellbeing. However, there is limited evidence that momentary happiness is associated with immediate urban environments. This study provides new evidence on this issue. 144 participants living in Guangzhou, China, were asked to repeatedly self-report their momentary happiness through ecological momentary assessment (EMA) and the day reconstruction method (DRM). The microenvironment variables were captured by portable sensors, while the built environment variables were captured by associating the GPS response locations with objective spatial data. The results indicate that momentary happiness is influenced by immediate microenvironment variables and built environment characteristics including temperature, noise, PM2.5, population, POI density, POI types and street intersections. On the other hand, the use of different sizes of contextual units affects the results. The built environment in 100 m buffers and the microenvironment has higher explanatory power for momentary happiness recorded by EMA than the built environment in 500 m buffers. Similarly, the temporality of the contextual influences also affects the results. Urban environment features have higher explanatory power for real-time momentary happiness recorded by EMA than recalled momentary happiness recorded by DRM. These results also strongly corroborate the results of recent studies on the uncertain geographic context problem (UGCoP) and partly explain the inconsistency in the results of past research.

马静, 刘冠秋, 饶婧雯.

地理环境与时空行为对主观幸福感的影响研究进展

[J]. 地理科学进展, 2022, 41(4): 718-730.

DOI:10.18306/dlkxjz.2022.04.015      [本文引用: 1]

主观幸福感是目前国内外研究热点,与提升居民生活质量和建设宜居城市密切相关。已有大部分文献侧重单一空间尺度的研究,分析社会经济属性和地理环境要素(包括建成环境、社会环境、环境污染)对主观幸福感的影响;也有部分研究关注居民日常出行属性和活动特征对主观幸福感的作用机制,探讨长期幸福感与短期幸福感的内在关系。论文对上述研究进行较为系统的梳理与评价,综合考虑地理环境、时空行为与主观幸福感的复杂关系,构建主观幸福感的理论研究框架,总结时空行为视角下多尺度、多维度地理环境要素对主观幸福感的影响机制以及作用路径,并探讨主观幸福感的时空动态规律以及微观行为机制,为改善城市人居环境、优化居民行为模式提供科学依据和政策建议。

[ Ma Jing, Liu Guanqiu, Rao Jingwen.

Progress of research on the impact of geographical context and spatiotemporal behavior on subjective well-being

Progress in Geography, 2022, 41(4): 718-730. ]

DOI:10.18306/dlkxjz.2022.04.015      [本文引用: 1]

Subjective well-being is a focus of research worldwide, which is closely related to the improvement of residents' quality of life and the construction of livable cities. Numerous studies on subjective well-being have been conducted, mainly discussing the impact of social and economic attributes, geographical background (including the built environment, social environment, and environmental pollution), and residents' travel and activity characteristics on subjective well-being at the city or regional scale. Some research has also explored the interaction between long-term happiness and short-term happiness based on the perspective of spatiotemporal behavior. This article provides a comprehensive review on geographical context and subjective well-being studies from the time-space perspectives, and presents a diversified research framework to investigate the complexity between micro-environment, spatiotemporal behavior, and subjective well-being. It presents a theoretical framework of multi-scale spatiotemporal analysis of subjective well-being, and summarizes the mechanism of multi-scale and multi-dimensional geographical environment factors on subjective well-being. Moreover, we propose that future research needs to link individual spatiotemporal behavior, environmental pollution, and well-being, and investigate the spatiotemporal dynamics of residents' subjective well-being under different social and spatial backgrounds, in order to provide a scientific basis and policy recommendations for improving urban residential environment and optimizing residents' behavioral patterns.

Zhang X, Zhang X B, Chen X.

Happiness in the air: How does a dirty sky affect mental health and subjective well-being?

[J]. Journal of Environmental Economics and Management, 2017, 85: 81-94.

DOI:10.1016/j.jeem.2017.04.001      URL     [本文引用: 1]

Dang Y X, Dong G P, Chen Y, et al.

Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model

[J]. Environment and Planning B: Urban Analytics and City Science, 2019, 46(4): 648-667.

DOI:10.1177/2399808317723012      URL     [本文引用: 3]

Existing literature has examined the determinants of subjective well-being in China from the social, economic and psychological perspectives. Very few studies explore the impacts of residential environment on subjective well-being. Drawing on a large scale questionnaire survey in Beijing, this paper investigates the role of residential environment by decomposing the variations of subjective well-being at fine-grained spatial scales, i.e. district and neighbourhood levels. A bivariate response binomial multilevel model is employed to assess the relative importance of geographical contexts and individual characteristics, in particular, the household registration (hukou) status, in influencing subjective well-being. The results show significant heterogeneities in subjective well-being among districts and neighbourhoods. Neighbourhood types are significantly correlated with subjective well-being, with residents in commercial housing neighbourhoods reporting higher levels of subjective well-being than those in work-unit and affordable housing neighbourhoods. However, the impacts of neighbourhood types are not uniformly experienced by people with different hukou status. Migrants tend to express lower levels of subjective well-being than local residents. Such disparities are more pronounced in urban villages compared with other neighbourhoods.

党云晓, 张文忠, 谌丽, .

居民幸福感的城际差异及其影响因素探析: 基于多尺度模型的研究

[J]. 地理研究, 2018, 37(3): 539-550.

DOI:10.11821/dlyj201803007      [本文引用: 2]

居民幸福感是建设和谐社会与检验城镇化质量的重要内容。地理学视角的研究围绕幸福感空间差异展开,解读背景环境特征与其关系。国内已有研究缺乏基于个体与城市尺度的联合分析,且缺少城市特征对幸福感影响机制的综合考虑。以环渤海地区44个城市为例,基于大规模调研问卷,采用多尺度建模方法,分析居民幸福感的城际差异及影响因素。结果表明,居民幸福感在城市之间存在显著差异;经济最发达的城市居民幸福感最低;城市规模对居民幸福感有负面影响,收入可以缓解城市规模负面影响的程度;环境污染对居民幸福感有显著的负面影响,积极的环境评价对居民幸福感有正面影响;良好的社会治安与人文环境对居民幸福感影响为正。

[ Dang Yunxiao, Zhang Wenzhong, Chen Li, et al.

Inter-city difference and influencing factors of residents' subjective well-being: A study based on multilevel modelling

Geographical Research, 2018, 37(3): 539-550. ]

DOI:10.11821/dlyj201803007      [本文引用: 2]

During the last three decades, China has been marked by a remarkable economic growth, however, the greatly enriched material life did not promise Chinese an equal level of happiness. It has been proved that Chinese subjective well-being has been decreasing during the progress of high-speed urbanization. Scholars in Western world have conducted abundant research in influencing factors of residents' subjective well-being and evaluation of happy city. There is lack of studies aimed at Chinese residents, especially the systematic analysis of the influence by geographical background effect posed on the residents' subjective well-being. Taking all the prefecture-level cities in the Bohai Rim area as a case study, based on large sample survey questionnaires, objective statistics and census data, this paper analyzed the spatial distribution of subjective well-being at inter-city scale. Happiness function improved by multilevel modeling and GIS-based spatial analysis method are also applied to analyze the influencing factors of residents' subjective well-being. The conclusions are as follows: (1) There is significant disparity of residents' subjective well-being between cities. Most of the cities with more happy samples are in Liaoning province, while those with more unhappy samples are found in the majority of cities in Hebei province except Zhangjiakou and Chengde. (2) Urban scale and economic development are negatively related to residents' subjective well-being. People living in the biggest city are most unhappy with life, however, the high income can weaken the unhappiness. (3) Environment pollution has reduced the residents' subjective well-being, while positive evaluation of natural environment is helpful to improve residents' happiness. (4) Social security and human environment are positively related to the subjective well-being. The widening wealth inequality and urban diseases, such as pollution, traffic jam and housing shortage, should be responsible for the lowest degree of subjective well-being of residents living in the biggest cities. Even so, people are more likely to live in big cities. One possible reason is that the individual may be willing to trade off the subjective well-being for other things including high income, social status and accomplishments. Furthermore, individuals may prefer to take actions enabling to achieve the long-term desires and goals, although some of them could make them less happier at present.

Easterlin R A.

Income and happiness: Towards a unified theory

[J]. Economic Journal, 2001, 111: 465-484.

DOI:10.1111/1468-0297.00646      URL     [本文引用: 1]

Diener E, Suh E M, Lucas R E, et al.

Subjective well-being: Three decades of progress

[J]. Psychological Bulletin, 1999, 125(2): 276-302.

DOI:10.1037/0033-2909.125.2.276      URL     [本文引用: 1]

湛东升, 孟斌, 张文忠.

北京市居民居住满意度感知与行为意向研究

[J]. 地理研究, 2014, 33(2): 336-348.

DOI:10.11821/dlyj201402012      [本文引用: 1]

提高居民居住满意度是促进宜居城市建设和社会和谐发展的重要内容。传统研究多关注客观物质设施建设,而忽略居民居住需求的实际感知,对转型期中国大城市居民居住满意度影响机制与行为意向研究还相对薄弱。选取北京市不同类型社区居民作为研究对象,采用2012年居住满意度感知评价调查数据,运用探索性因子分析和结构方程模型方法构建了&ldquo;居住满意度&mdash;居住流动性意向&rdquo;概念模型,重点探讨转型期北京市居民居住满意度感知因素及其与居住流动性意向相互关系。结果显示:北京市居民居住满意度感知评价主要由居住环境、住房条件、配套设施和交通出行四个维度构成,且各维度的影响效应呈现出住房条件>居住环境>配套设施>交通出行的递减趋势。居住满意度对居住流动性意向具有显著地负面感知效应。另外,居民社会经济属性特征也对居住满意度感知评价和居住流动性意向产生重要影响。本文为深入了解转型期北京市居民居住环境需求与偏好提供较好的实证案例,同时对指导居住区开发和宜居城市建设具有重要的现实意义。

[ Zhan Dongsheng, Meng Bin, Zhang Wenzhong.

A study on residential satisfaction and its behavioral intention in Beijing

Geographical Research, 2014, 33(2): 336-348. ]

DOI:10.11821/dlyj201402012      [本文引用: 1]

Improving residential satisfaction was an essential part of livable city construction and social harmony promotion. The traditional approach focused more on material construction instead of studying the residential perceptions on habitat environment, and the case study on residential satisfaction was relatively weak. Taking urban residents of different communities in Beijing as the study object and based on 2012 survey data, this study examined the perception factors of residential satisfaction and its relationship with mobility intention of the transitional period in Beijing by using exploratory factor analysis and structural equation model to construct residential satisfaction model. The result showed: the determinants of residential satisfaction were a four-dimension construction composed of housing conditions, residential environment, supporting facilities and traffic conditions, and its effect presented a decreasing trend in the order of housing conditions > residential environment > supporting facilities > traffic conditions. Besides, residential satisfaction has significantly negative influence on mobility intention. Lastly, residents' social-economic characteristics also had a significant impact on residential satisfaction and mobility intention.By constructing a structural equation model of residential satisfaction and its consequence effects, we can get a better understanding of residential development and construction of livable city.

张文忠, 何炬, 谌丽.

面向高质量发展的中国城市体检方法体系探讨

[J]. 地理科学, 2021, 41(1): 1-12.

DOI:10.13249/j.cnki.sgs.2021.01.001      [本文引用: 2]

改革开放40 a来,中国的城市规划、建设和管理水平发生了质的改变,但快速城镇化所引发的城市问题日益突出。城市体检概念应运而生,并逐渐从国家战略落实到城市高质量发展的具体实践中。在梳理和解析城市体检背景及其作用的基础上,详细阐述城市体检指标设计的逻辑框架,梳理城市体检各指标间的关系,辨析不同尺度间城市体检的异同,提出中国城市体检的方法,旨在对中国城市体检提供理论依据。

[ Zhang Wenzhong, He Ju, Chen Li.

Method system of urban physical examination for high quality development in China

Scientia Geographica Sinica, 2021, 41(1): 1-12. ]

DOI:10.13249/j.cnki.sgs.2021.01.001      [本文引用: 2]

Over the past 40 years of reform and opening up, the urban planning, construction and management in China has undergone qualitative changes, but the urban problems caused by rapid urbanization are still increasingly prominent. The concept of urban physical examination arises at the historic moment and is gradually implemented from the national strategy to the concrete practice of urban high-quality development. On the basis of sorting out and analyzing the background and function of urban physical examination. This article starts from the core connotation of high-quality urban development in China, which is eco-livable, distinctive, diverse and inclusive, innovative, healthy and comfortable, safe and resilient, convenient transportation, clean and orderly. We design the index logical framework of urban physical examination from the above eight aspects and sorts out the relationship among various indicators of urban physical examination. Urban physical examination must be a ‘global physical examination’ rather than a ‘department physical examination’, so the urban physical examination has the dual function of ‘examination of general planning’ and ‘physical examination of a city’. The article points out that we should adopt the trinity of physical examination, third party physical examination and social satisfaction survey, and apply the closed-loop mode of ‘evaluation-feedback-governance’. It also analyzes the similarities and differences of urban physical examination in different scales, proposes the methods of urban physical examination in China. This article aims to provide theoretical guidance for urban physical examination in China and provide a research framework and scientific support for future urban physical examination research topics

王雪微, 范大龙.

长三角城市群城市发展质量测度及时空演变格局

[J]. 人文地理, 2020, 35(6): 85-94, 148.

[本文引用: 1]

[ Wang Xuewei, Fan Dalong.

Urban development quality measurement and spatiotemporal evolution pattern of the Yangtze River Delta urban agglomeration

Human Geography, 2020, 35(6): 85-94, 148. ]

[本文引用: 1]

孙燕铭, 周传玉.

长三角区域大气污染协同治理的时空演化特征及其影响因素

[J]. 地理研究, 2022, 41(10): 2742-2759.

DOI:10.11821/dlyj020220294      [本文引用: 1]

在长三角更高质量一体化发展的战略背景下,构建区域间环境协同治理体系,是提升区域大气污染治理成效的可行性选择。本文从环境规制的政策文件、实施过程、治理效果3个维度,构建大气污染规制耦合度评价体系,探究长三角区域41个城市2003&#x02014;2019年大气污染规制耦合度的时空演化特征。以此为基础,对长三角区域各城市划分区域协同治理小组,并分别测算其大气污染治理协同水平,进而探究长三角区域大气污染协同治理的影响因素。结果显示:① 各城市的大气污染规制耦合度整体上表现为连片集聚发展特征,呈现出上海市最高、浙江省和江苏省次之、安徽省再次之的格局,且区域差异性不断缩小;② 长三角区域整体大气污染治理协同度较低,但在波动中呈缓慢上升趋势,划分区域治理组后各小组大气污染治理协同度保持在较高水平;③ 影响因素分析结果表明,地区间对外开放差异、公共交通差异和绿化建设差异对长三角区域大气污染协同治理有着显著的抑制作用,而经济增长差异和技术创新差异具有显著的积极影响。

[ Sun Yanming, Zhou Chuanyu.

The spatio-temporal evolution characteristics and influencing factors of collaborative governance of air pollution in the Yangtze River Delta region

Geographical Research, 2022, 41(10): 2742-2759. ]

DOI:10.11821/dlyj020220294      [本文引用: 1]

In the strategic background of high quality integration in the Yangtze River Delta (YRD), it is a feasible choice to build an inter-regional environmental collaborative governance system to improve the effectiveness of air pollution control in the region. This paper constructed an evaluation system of coupling degree of air pollution regulation from three dimensions: policy documents, implementation process and governance effect of environmental regulation, and then explored the spatio-temporal evolution characteristics of coupling degree of air pollution regulation in 41 cities in the YRD from 2003 to 2019. On this basis, the cities in the YRD are divided into regional collaborative governance groups, and the synergy degree of air pollution control is measured respectively, thus the influencing factors of collaborative governance of air pollution in the YRD are explored. The results show that: (1) The coupling degree of air pollution regulation in all the cities shows the characteristics of agglomeration development, with Shanghai being the highest, followed by Zhejiang province and Jiangsu province, and Anhui province being the lowest, while the regional differences are narrowing. (2) The synergy degree of air pollution control in the YRD as a whole was low and showed a slow rising trend in the fluctuation, but the synergy degree of air pollution control remained at a high level after the division of regional collaborative governance groups. (3) The results of influencing factors analysis show that the differences in opening up, public transportation and greening construction between regions have significantly inhibitive effect on the collaborative governance of air pollution in the YRD, while the differences in economic growth and technological innovation have significantly positive effect.

孙黄平, 黄震方, 徐冬冬, .

泛长三角城市群城镇化与生态环境耦合的空间特征与驱动机制

[J]. 经济地理, 2017, 37(2): 163-170, 186.

[本文引用: 1]

[ Sun Huangping, Huang Zhenfang, Xu Dongdong, et al.

The spatial characteristics and drive mechanism of coupling relationship between urbanization and eco-environment in the Pan Yangtze River Delta

Economic Geography, 2017, 37(2): 163-170, 186. ]

[本文引用: 1]

李雪铭, 刘凯强, 田深圳, .

基于DPSIR模型的城市人居环境韧性评价: 以长三角城市群为例

[J]. 人文地理, 2022, 37(1): 54-62.

[本文引用: 1]

[ Li Xueming, Liu Kaiqiang, Tian Shenzhen, et al.

Evaluation of urban human settlements resilience based on DPSIR model: A case study of the Yangtze River Delta urban systems

Human Geography, 2022, 37(1): 54-62. ]

[本文引用: 1]

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[本文引用: 1]

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[本文引用: 1]

李雪铭, 李婉娜.

1990年代以来大连城市人居环境与经济协调发展定量分析

[J]. 经济地理, 2005, 25(3): 383-386, 390.

[本文引用: 1]

[ Li Xueming, Li Wanna.

Quantitative analysis about coordinating development of environment of urban human settlements and economy in Dalian since the 1990s

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[本文引用: 1]

吴晓婷, 闫德勤.

数据降维方法分析与研究

[J]. 计算机应用研究, 2009, 26(8): 2832-2835.

[本文引用: 1]

[ Wu Xiaoting, Yan Deqin.

Analysis and research on method of data dimensionality reduction

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[本文引用: 1]

Lu M.

Determinants of residential satisfaction: Ordered logit vs. regression models

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顾楚丹, 王丰龙, 罗峰.

中国城乡居民幸福感的差异及影响因素研究

[J]. 世界地理研究, 2021, 30(1): 179-191.

DOI:10.3969/j.issn.1004-9479.2021.01.2019690      [本文引用: 1]

2010年上海世界博览会提出“城市让生活更美好”。然而,当前对城乡居民幸福感的实证研究得出了不同的结论。本研究认为,城市并不必然会带来更美好的生活,而是更好的城市让生活更幸福。为此,本研究运用多层次线性回归模型,基于2014年中国劳动力动态调查(CLDS)数据对中国城乡居民的幸福感及其影响因素进行了分析。结果显示,中国城市居民的幸福感整体上高于乡村居民,这种差异主要源于城乡居民的生活水平、生活环境和生活节奏等方面的差异。因此,要实现“城市让生活更美好”的目标,需要在城市化的过程中不断提升城乡居民的获得感、推动城市住房政策改革、进一步加快城乡公共服务一体化进程、实现以家庭为单位的新型市民化模式以及推行更为健全的劳动政策。

[ Gu Chudan, Wang Fenglong, Luo Feng.

Difference in and determinants of subjective well-being for Chinese urban and rural residents

World Regional Studies, 2021, 30(1): 179-191. ]

DOI:10.3969/j.issn.1004-9479.2021.01.2019690      [本文引用: 1]

In the Shanghai World Expo in 2010, it was proposed that "city makes life better". However, the empirical studies provide mixed and even dividing evidences. This paper argues that it is not city itself but better city that makes our lives more satisfied. Therefore, we investigate the patterns and determinants of subjective well-being for Chinese urban and rural residents based on the 2014 China Laborforce Dynamic Survey. It is shows that Chinese urbanites generally have higher level of life satisfaction than their rural counterparts. The results of multilevel regression model indicate that the urban-rural divide of life satisfaction in China mainly attributes to the differences in their living standards, residential environment and routine activities. Based on these findings, we suggest to improve the sense of gain for urban and rural residents, accelerate the integration of urban and rural public services, promote the reform of urban housing policies, explore the model of urbanization in the unit of family rather than individuals, and implement more sound labor policy in order to increase residents' life satisfaction in urban and rural China.

刘倩倩, 党云晓, 张文忠, .

中国城市PM2.5污染对居民主观幸福感的影响及支付意愿研究

[J]. 地理科学, 2021, 41(12): 2096-2106.

DOI:10.13249/j.cnki.sgs.2021.12.003      [本文引用: 1]

利用2015年中国40个城市大规模问卷调查数据,采用贝叶斯多层级有序分类响应模型探讨了PM<sub>2.5</sub>污染对居民主观幸福感的影响,进而核算居民为减轻PM<sub>2.5</sub>污染的支付意愿。研究发现:PM<sub>2.5</sub>污染对主观幸福感具有显著的负向影响,PM<sub>2.5</sub>污染每增加1个单位,主观幸福感将下降0.040个百分点;家庭月收入对主观幸福感具有显著的正向影响,家庭月收入每增加1个单位,主观幸福感将提升0.026个百分点。支付意愿不仅受到家庭收入水平的影响,还受到居民所处城市空气质量的影响;在承受PM<sub>2.5</sub>污染的最初阶段,居民为改善空气质量的支付意愿最高。居民为改善空气质量愿意支付的金额平均为226元,占家庭月总收入的2.274%。

[ Liu Qianqian, Dang Yunxiao, Zhang Wenzhong, et al.

Impact of PM2.5 pollution on urban residents' happiness and willingness-to-pay: A case study of urban China

Scientia Geographica Sinica, 2021, 41(12): 2096-2106. ]

DOI:10.13249/j.cnki.sgs.2021.12.003      [本文引用: 1]

China’s rapid industrialization and urbanization are not necessarily accompanied by the corresponding improvement of living standards. As the largest developing country in the world, the rapid economic growth has been confronted with problems such as inadequate public services, soaring housing prices, environmental degradation and food safety, which have seriously restricted the happiness of Chinese urban residents. In recent years, PM2.5 pollution imposes serious impacts on the health and life quality of residents and restricts the improvement of urban residents’ happiness. Exploring the influential mechanism of air pollution on residents’ happiness and the economic value brought by the improvement environmental quality provide a scientific basis for the construction of livable cities in the new era. Based on the theoretical analysis framework of the impact of meso-and micro-scale air pollution on residents’ happiness and willingness to pay, we select 40 cities in China as the cases for empirical analysis. By employing the large-scale questionnaire survey data of 40 cities in 2015, this article adopts a Bayesian multi-level ordinal categorical response model to empirically explore the impact of PM2.5 pollution on residents’ subjective well-being, and evaluates residents’ willingness to pay to alleviate PM2.5 pollution by using happiness evaluation model. The empirical results are presented in the following aspects. First, PM2.5 pollution exerts a significant negative influence on residents’ subjective well-being, that is, the more serious the PM2.5 pollution is, the lower the residents’ subjective well-being. Specially, for every unit increase in the number of days of haze pollution, the subjective well-being of residents will significantly decrease by 0.040. Household monthly income has a significant positive impact on residents’ subjective well-being, meaning that the increase of household income is accompanied by the increase of residents’ happiness. For every unit increase in monthly household income, residents’ happiness will significantly increase by 0.026 percentage points. Second, willingness to pay is affected not only by household income level, but also by the air quality of the city where residents live. Third, residents in 40 cities were willing to pay 226 yuan, or 2.274 percent of their monthly income in order to improve air quality. Residents in Beijing were the most willing to pay 582 yuan to reduce PM2.5 pollution, accounting for 3.535 percent of their average monthly income. In addition, residents have the highest willingness to pay at the initial stage of reducing PM2.5 pollution and improving air quality. The conclusions of this article not only enriches the relevant research results of environmental pollution and residents’ happiness, but also provides an empirical basis for the policy making of environmental pollution improvement in Chinese cities.

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