基于GIS的城市公共设施规划分析模型的研究

文章结合我国城市规划的现行运行机制，提出从宏、中、微观三个层次进行城市公共设 施规划分析的方法，并发展了相应的数学模型。

A Model for Analyzing the Transshipment Competition Relationship Between the Port of Hong Kong and the Port of Kaohsiung

The transshipment is an important issue in the current marine transportation. This paper constructed a mathematical programming model to elaborate the transshipment port selection for the shipping company. This model is tested by the data collected from the ports of Hong Kong and Kaohsiung. The results show that this model can be used to explain the transshipment competition relationship between the ports of Hong Kong and Kaohsiung well. A sensitivity analysis was also executed. The sensitivity analysis results showed that both the port of Hong Kong and Kaohsiung should decrease the charges of port and increase the effi- ciency of loading and discharging. Based on the sensitivity analysis results, some interesting conclusions and helpful suggestions were obtained for the managers of the ports of Hong Kong and Kaohsiung to improve their port management.

Sustainable Development Plan Based on Mathematic Model Analysis

Sustainable development has been a global issue, which focuses on balancing human needs with the earth＇ s health. In this paper, we construct a model to distinguish the sustainability of a country. To evaluate the sustainability of a country, we select eight metrics based on four aspects： Society, Economics, Ecology and Politics. We use BP neural network to obtain the sustainability ranking and use Grey Relational Analysis to calculate the sustainability scores of 187countries. By combining the ranking and the score, we develop a measure to define whether a country is sustainable or not. The critical point is Maldives, which ranks No. 103 and scores 63.65. As one of least developed countries, Uganda ranks No.164 and scores 48.79, according to our measure. Based on Uganda＇ s society, population, natural resources, etc., we draft a 20-year （2013-2033） sustainable development plan that integrates the social, economic, ecological and political components. The overall goal of the plan is to transform Uganda into a sustainable country and make noticeable progress in the ranking. Furthermore, to analyze changes＇ influence on our plan, we take climate change as an example. The weights of Environment and Health will be modified by climate change, causing a reduction in the growth rate of sustainability score.

Understanding Changing in Traditional Agricultural Landscapes： Towards a Framework

Since the second half of the 20th century in Italy, following farming conversion or abandonment, many traditional agricultural systems and the connected landscapes along with them have disappeared. We discuss a conceptual framework to understand and describe changing in agricultural landscapes. According to us, the traditionality of the agricultural landscape is an expression of the local coevolution between the social project of the farmer and the constraints made by the natural system. The paper focuses on defining a spatial-temporal analytical model based on both the morphological recognition of different typologies of elements which contribute to the environmental landscape mosaic and the dynamic observation of the transformations of the mosaic itself. We identify the natural, social and economic driving forces involved in defining the agricultural space using a transdisciplinary approach so that ecological, agronomics and socio-economical information must be integrated as a basis for land use planning and management. The research approach and the methodology are applied to a couple of case studies.

服务于城市规划管理的遥感信息平台技术研究

面对城市规划管理对遥感信息的强烈需求,重庆市遥感中心开展了从规划遥感标准制定、影像处理、数据建库、遥感规划分析模型、发布服务等遥感信息平台建设工作。本文就在建设过程中用到的数据库建设、信息共享与交换的关键技术,和规划行业遥感分析应用的技术实现思路提出探讨,希望推动国内遥感技术在不同领域的深层次应用。

Robust linear optimization under matrix completion

Linear programming models have been widely used in input-output analysis for analyzing the interdependence of industries in economics and in environmental science.In these applications,some of the entries of the coefficient matrix cannot be measured physically or there exists sampling errors.However,the coefficient matrix can often be low-rank.We characterize the robust counterpart of these types of linear programming problems with uncertainty set described by the nuclear norm.Simulations for the input-output analysis show that the new paradigm can be helpful.

An iterative interval analysis method based on Kriging-HDMR for uncertainty problems

In recent years,growing attention has been paid to the interval investigation of uncertainty problems.However,the contradiction between accuracy and efficiency always exists.In this paper,an iterative interval analysis method based on Kriging-HDMR(IIAMKH)is proposed to obtain the lower and upper bounds of uncertainty problems considering interval variables.Firstly,Kriging-HDMR method is adopted to establish the meta-model of the response function.Then,the Genetic Algorithm&Sequential Quadratic Programing(GA&SQP)hybrid optimization method is applied to search for the minimum/maximum values of the meta-model,and thus the corresponding uncertain parameters can be obtained.By substituting them into the response function,we can acquire the predicted interval.Finally,an iterative process is developed to improve the accuracy and stability of the proposed method.Several numerical examples are investigated to demonstrate the effectiveness of the proposed method.Simulation results indicate that the presented IIAMKH can obtain more accurate results with fewer samples.