本书以城市土地为研究对象，在城市地理学、土地科学、规划学、生态学、管理学、经济学、地理学等理论、原理指导下，以地理信息系统技术、数据挖掘技术和地理模型为支撑，利用大量遥感数据、地籍数据等资料对城市土地利用的景观格局进行了分析，利用多种方法进行优化配置和集约利用评价，同时开发了实现城市土地优化配置和集约利用的应用软件模块，实现了城市土地优化配置的自动化和集约利用评价的自动化，集成的软件系统可以作为Maplnfo的一个组件运行。通过济南市的实证试验，取得了明显成效，研究成果已经应用于济南市的城市建设、城市规划、土地管理等部门。本书可供高等院校地学相关专业高年级本科生和研究生、科研院所中高级专业人员研究参考，同时也可作为国土资源大调查城市土地集约利用潜力评价的培训新材等。

利用航片对城市土地利用现状进行判读，并对土地质量进行适宜性评价，在此基础上，利用系统动态学（SD）模型和多目标规划模型对城市各用地类型的面积进行优化计算，最后利用自编程序实现了各类用地的空间配置。

城市土地集约利用潜力评价的目的是在城市存量土地的基础上，对现状土地利用状况进行综合分析和评价，测算城市土地利用的潜在增加面积。城市土地利用宗地集约利用潜力评价属城市土地集约利用潜力评价的微观评价。本文在济南市城区研究实践的基础上，提出了宗地集约利用潜力评价的“理想值修正模型”。该模型以土地集约利用的标准值（合理值）为判定依据，选择土地用途、建筑密度、建筑容积率和其他因素对标准值进行修正，分析具体宗地的现状和理想值（合理值）之间的关系，计算宗地集约利用潜力等级。该方法计算的结果与用地功能区评价的结果进行了对比：工业区的评价结果出入较大，大部分宗地评价结果修正后提高，即其潜力增加;商业区的结果大部分降低，即潜力减少；住宅区处于二者之间，但潜力增加的量大于商业。基本结论是:城市建成区宗地集约利用潜力评价模型，简便、实用、科学，是不同用地功能区集约利用潜力评价的具体化；可作为城市规划、盘活存量土地、提高城市土地利用效率等的主要技术支持。

利用RS和GIS有关理论和技术，选择区域生态环境综合评价的指标体系，利用AHP和Delphi法确定其权重系数，构造了区域数字环境模型，对山东省生态环境质量进行了定量综合评价，并根据评价结果将山东省生态环境质量划分为五个级别，分析了存在的主要问题。

Most of the cities all over the world have the problem of traffic jam, but Beijing is probably one of the typical cities. Researchers and government have applied the energies to finding a solution to solve this problem in Beijing, but the effect is not satisfying. Space syntax theory and its mode to solve problems can provide instructive reference for analyzing the urban traffic problem. Based on the current condition of urban traffic network in Beijing, this paper was in virtue of space syntax theory and GIS visualization technology, extended the space syntax theory, divided the traffic network according to roads' designation, and improved the axial map. We put forward the concept of accessibility, discussed the method that how to deal with loops, and proved the optimizing measures which are supposed to revive the current traffic pressure in Beijing based on the iterative optimizing experiments. It is concluded that increasing radialized roads can help to improve the traffic status obviously of Beijing traffic network, which is in the framework of loops. Moreover, we conducted different simulating experiments, such as adding 2 more, 4 more, 6 more, 8 more, and up to 14 more radicalized roads in different directions. We discovered that there is a critical of the added roads. Adding 6-8 more roads can lead to an optimal yield. In accordance with this finding, we selected the axial lines of roads on the spot according to current urban planning, and had validated the feasibility and rationality of the optimizing method. It is concluded that building some new radialized roads and rebuilding some main roads are available for improve the traffic condition and the input-output ratio is better. Consequently, the extended space syntax method can instruct road reconstructing and urban planning, and be generalized to other cities.