中国城镇建设用地经济密度的区位差异及影响因素——基于273个地级及以上城市的分析

以全国地级及以上城市中的273个样本城市为研究对象,分别从全国、沿海地区、内陆地区三个层次考察了样本城市城镇建设用地经济密度的区位差异。根据柯布-道格拉斯生产函数的理论与分析方法建立模型,分析了资本、劳动力、土地三大投入要素和城市全要素生产率等对城镇建设用地的影响,并在控制以上变量的条件下侧重考察了城市区位差异的影响。发现我国城镇建设用地经济密度的区位差异明显,具有区位优势的城市土地效益平均高于缺乏区位优势的城市;沿海水陆口岸的区位优势十分显著,建设用地经济密度相对较高,而内陆地区水陆口岸的区位优势有待发掘;航空口岸对提高城镇建设用地经济密度未发挥积极作用。分析结果表明,生产要素投入、科技水平、市场环境和城市发展阶段是影响土地效益的主要因素,但不同区位条件下城镇建设用地经济密度的影响因素有所不同,为提高城镇建设用地经济密度,不同区位条件的城市着力点应各有侧重。     

我国农村劳动力流动性就业计量问题研究

改革开放30年来,上亿农村劳动力实现了向城镇非农产业大规模转移,而我国沿袭至今的劳动就业统计制度突出的缺陷是将三部分人--在农村从事纯农的农民,在城镇从事非农工作但户口在农村的农民工,游移于乡城间"亦工亦农"的农村劳动力--排除于劳动统计计量之外.不解决这部分劳动力就业的统计计量的问题,则很难准确回答"中国的失业率究竟有多高?".为此,确定严格的、便于与国际接轨的劳动就业标准,从而构建我国统一的、规范的劳动就业市场至关重要.本文着重探讨了游移于农村与城市之间、就业岗位、就业时间不固定的农村劳动力就业、失业不充分的计量问题.作者在对国内外就业和失业定义和计量标准进行比较和评价基础上,结合我国实情提出了以法定劳动力年工时为核心的劳动力流动性就业的调查和计量方法,并通过调查案例证实了它的有效性与可行性.     

鲁南经济带"城市走廊"战略研究

城市走廊是区域发展的一种重要空间布局方式和发展策略.鲁南经济带规划的科学、高效实施对于鲁南地区加快发展,摆脱落后局面具有重大意义.规划建设鲁南"城市走廊"无疑是实施鲁南经济带规划的必然选择,更是关键措施.鲁南经济带"城市走廊"的空间结构基本呈"之"字形态,组团式发展,可以形成区域1个核心增长极、5个圈层型中小城市群、6个三角形特色小城市经济增长带;城市走廊的轴线发展趋势为"三纵两横".建设鲁南"城市走廊",需要优化产业分工,提升区域工业化水平;优化区域空闻结构,培育核心增长极,打造小城市群,尤其需要精心打造兖州-曲阜-邹城-滕州-微山-薛城-枣庄市中区-峄城区-台儿庄核心经济走廊,形成大中小城市合理布局发展的良好体系;尽快建设南部东西方向快速交通干线,建立区域共建互动机制,使鲁南"城市走廊"成为区域发展、产业振兴的动力和源泉.     

基于主成分分析法的武汉城市圈区域协调发展研究

在"两型社会"背景下,如何实现武汉城市圈的快速发展及圈内的协调发展是促进武汉城市圈建设与发展的重要内容,也是构建中国中部区域板块新经济增长极的必然选择。采用统计数据、利用主成分分析法对武汉城市圈区域经济发展进行评价,利用数学模型对武汉城市圈区域发展的不平衡性与区域差异性进行分析,在此基础上提出发展地方特色经济,加强区域经济间的联系,实现产业一体化与经济一体化,建立统一的监督机构,实现武汉城市圈的协调发展。     

浅谈大学生社会实践活动的项目化管理

结合中国环境管理干部学院"千名学生绿色行"活动的项目化管理的具体组织和实践情况,在实际工作中探索大学生社会实践活动项目化管理的科学性和有效性,将项目化管理模式应用于大学生实践活动的管理中,最大限度地利用现有的学生活动资源、规范管理行为、降低管理成本、提高工作效率,实现培养大学生综合素质和创新能力的目的。     

河北省祖山风景区崩塌灾害特征与防治对策研究

以祖山为例,阐述了崩塌地质灾害的机理、特征和现状,并利用传递系数法对崩塌稳定性进行了计算和评价,采用削方卸载、修建抗崩塌挡土墙、构筑排水沟与格构等工程设施的防治对策及工程措施,取得了预期的效果。     

Effects of Urban Spatial Structure,Sociodemographics, and Climate on Residential Water Consumption in Hillsboro,Oregon1

House-Peters, Lily, Bethany Pratt, and Heejun Chang, 2010. Effects of Urban Spatial Structure, Sociodemographics, and Climate on Residential Water Consumption in Hillsboro, Oregon. Journal of the American Water Resources Association (JAWRA) 46(3):461-472. DOI: 10.1111/j.1752-1688.2009.00415.x Abstract: In the Portland metropolitan area, suburban growth in cities such as Hillsboro is projected to increase as people seek affordable housing near a burgeoning metropolis. The most significant determinants for increases in water demand are population growth, climate change, and the type of urban development that occurs. This study analyzes the spatial patterns of single family residential (SFR) water consumption in Hillsboro, Oregon, at the census block scale. The following research questions are addressed: (1) What are the significant determinants of SFR water consumption in Hillsboro, Oregon? (2) Is SFR water demand sensitive to drought conditions and interannual climate variation? (3) To what magnitude do particular census blocks react to drought conditions and interannual climate variation? Using ordinary least squares multiple regression and spatial regression methods, we found that base use, representing indoor water use, is dependent on household size and that seasonal use, representing external water use is dependent on both education level and the size of the property’s outdoor space. Spatial analysis techniques determined that although the water demand of the study area as a whole is not sensitive to drought conditions, certain individual census blocks do respond with a higher magnitude of water use. The most climate-sensitive census blocks tend to contain newer and larger homes, and have higher property values and more affluent and well-educated residents.     

Monitoring Regional Riparian Forest Cover Change Using Stratified Sampling and Multiresolution Imagery1

Claggett, Peter R., Judy A. Okay, and Stephen V. Stehman, 2010. Monitoring Regional Riparian Forest Cover Change Using Stratified Sampling and Multiresolution Imagery. Journal of the American Water Resources Association (JAWRA) 46(2):334-343. DOI: 10.1111/j.1752-1688.2010.00424.x Abstract: The Chesapeake Bay watershed encompasses 165,760 km² of land area with 464,098 km of rivers and streams. As part of the Chesapeake Bay restoration effort, state and federal partners have committed to restoring 26,000 miles (41,843 km) of riparian forest buffers. Monitoring trends in riparian forest buffers over large areas is necessary to evaluate the efficacy of these restoration efforts. A sampling approach for estimating change in riparian forest cover from 1993/1994 to 2005 was developed and implemented in Anne Arundel County, Maryland, to exemplify a method that could be applied throughout the Bay watershed. All stream reaches in the county were stratified using forest cover change derived from Landsat imagery. A stratified random sample of 219 reaches was selected and forest cover change within the riparian buffer of each sampled reach was interpreted from high-resolution aerial photography. The estimated footprint of gross change in riparian forest cover (i.e., the sum of gross gain and gross loss) for the county was 1.83% (SE = 0.22%). Stratified sampling taking advantage of a priori knowledge of locations of change proved to be a practical and efficient protocol for estimating riparian forest buffer change at the county scale and the protocol would readily extend to much broader scale monitoring.     

Evaluation of the National Land Cover Database for Hydrologic Applications in Urban and Suburban Baltimore,Maryland1

Smith, Monica Lipscomb, Weiqi Zhou, Mary Cadenasso, Morgan Grove, and Lawrence E. Band, 2010. Evaluation of the National Land Cover Database for Hydrologic Applications in Urban and Suburban Baltimore, Maryland. Journal of the American Water Resources Association (JAWRA) 46(2):429-442. DOI: 10.1111/j.1752-1688.2009.00412.x Abstract: We compared the National Land Cover Database (NLCD) 2001 land cover, impervious, and canopy data products to land cover data derived from 0.6-m resolution three-band digital imagery and ancillary data. We conducted this comparison at the 1 km², 9 km², and gauged watershed scales within the Baltimore Ecosystem Study to determine the usefulness and limitations of the NLCD in heterogeneous urban to exurban environments for the determination of land-cover information for hydrological applications. Although the NLCD canopy and impervious data are significantly correlated with the high-resolution land-cover dataset, both layers exhibit bias at <10 and >70% cover. The ratio of total impervious area and connected impervious area differs along the range of percent imperviousness – at low percent imperviousness, the NLCD is a better predictor of pavement alone, whereas at higher percent imperviousness, buildings and pavement together more resemble NLCD impervious estimates. The land-cover composition and range for each NLCD urban land category (developed open space, low-intensity, medium-intensity, and high-intensity developed) is more variable in areas of low-intensity development. Fine-vegetation land-cover/lawn area is incorporated in a large number of land use categories with no ability to extract this land cover from the NLCD. These findings reveal that the NLCD may yield important biases in urban, suburban, and exurban hydrologic analyses where land cover is characterized by fine-scale spatial heterogeneity.     

基于分形理论的江苏沿江城镇体系研究

开放条件下,“全球 地方”作用深刻影响着区域城镇体系,沿江发达地区表现尤其典型。基于分形的相关理论和方法,以2006年为时空断面,对江苏沿江地区城镇体系的空间分布进行实证研究。结果表明：（1）区域城镇规模等级结构服从Zipf定律,首位城市南京在区域城市体系中的垄断性相对较强,但并非处于绝对垄断地位;（2）空间关联维数显示,沿江地区城镇体系的交通网络通达性优良,各城镇间联系紧密;（3）根据分维数和无标度区分析,三大城市群中,宁镇扬城市群分形发育最好,苏锡常次之,通泰城市群分形发育最差;（4）扬州、镇江、南京和苏州的城镇集聚程度较高,分形发育较为成熟;南通、泰州、无锡和常州的集聚程度均较低,分形结构不佳。扬州在区域城镇体系中分形发育最为完善,中心性最好,历史上形成的这种空间格局至今没有变化.