基于Hedonic模型批量估价系统的研究与开发

发布时间：2018-01-22 00:18

本文关键词： 大数据 Hedonic 批量估价数据库系统设计　出处：《中国地质大学(北京)》2017年硕士论文　论文类型：学位论文

【摘要】：信息化建设是国土资源管理领域的重要内容环节,也是土地管理事业高效推进的有效途径之一。开展批量估价系统的研究与设计开发研究有利于从大数据和云平台建设的角度去调整土地估价的方法,具有现实意义。本文从相关的背景和概念入手,简述了批量评估中使用的相关原理,具体包括房地产估价的基本原理,统计学的相关原理,对需要使用的Hedonic模型的理论基础,以及系统实现技术的概述。同时,分析判断该系统实现技术的可行性,明确该系统是可以应用于实践中;其次,对该系统进行了详细的需求分析,了解这个系统应该需要哪些功能,此外,也考虑了整个系统的安全防范措施。本文重点介绍了该系统的设计思路和实现方式步骤,数据库建表的设计思路,详细描述了各个功能模板的设计方案等。介绍了系统部分重要功能的实现流程,代码片段,同时,对系统中需要用到的API接口进行了定义,整理了接口文档。最后展示了该系统的用户管理模块、系统日志查询功能、采集数据功能、数据清洗整理功能、案例特征因素标准化功能、Hedonic模型、房屋评估价格查询和数据库备份功能的相关前端界面。在评估中,通过特征价格法,对每个交易案例特征因素数据进行标准化处理,得到不同的Hedonic模型,并通过小区评级和进行等比和等差关系的比价关系设定等方式,逐步去实现满足更多地域的批量评估的目标,并将这些方式以系统的形式呈现。通过本次研究,也明确了数据的数量和质量直接决定了系统评估结果的准确性,所以在数据采集过程中需要提前准备多种技术措施来避免采集中会遇到到的问题,在数据整理过程中除了制定规则让系统自动整理外也设置人工整理来保障数据的可靠性。在进行房屋价格特征因素标准化的流程中,需要根据不同类型的特征因素来制定制定不同的评分规则,以此才能得到合理的价格模型。本文开展了系统的实现和展示研究,指出了调用高德地图API获取距离值、案例数据的自动清洗、数据的自动和手动整理的实现、因素标准化模板的选取构建以及各个系统应用层功能的API接口的定义等的实现方式和过程,并展示了部分页面的实现效果。
[Abstract]:Information construction is an important part in the field of land and resources management. It is also one of the effective ways for land management to advance efficiently. The research and design of batch valuation system is helpful to adjust the method of land valuation from the perspective of big data and cloud platform construction. This paper starts with the relevant background and concept, briefly describes the relevant principles used in the batch evaluation, including the basic principles of real estate valuation, the related principles of statistics. The theoretical basis of the Hedonic model needed to be used and the summary of the system implementation technology are given. At the same time, the feasibility of the system realization technology is analyzed and judged, and the system can be applied in practice. Secondly, the detailed requirements analysis of the system is carried out to understand what functions the system should need, in addition. Also considered the whole system of security precautions. This paper focuses on the design of the system and the implementation of the steps, database table design ideas. The design scheme of each function template is described in detail. The realization flow of some important functions of the system and the code fragment are introduced. At the same time, the API interface that needs to be used in the system is defined. Finally, the user management module, system log query function, data collection function, data cleaning and finishing function, case feature factor standardization function are presented. Hedonic model, the related front-end interface of house evaluation price query and database backup function. In the evaluation, the characteristic factor data of each transaction case is standardized through the feature price method. Get different Hedonic model, and through the community rating and isometric and equal difference relationship of the price relationship, and other ways to gradually achieve the goal of meeting more regional batch evaluation. Through this study, it is clear that the quantity and quality of the data directly determine the accuracy of the system evaluation results. Therefore, in the process of data acquisition, a variety of technical measures should be prepared in advance to avoid the problems encountered in the process of data acquisition. In the process of data processing, in addition to the rules to make the system automatic collation, also set up manual finishing to ensure the reliability of the data. In the process of standardization of housing price characteristics factors. It is necessary to make different scoring rules according to different types of characteristic factors in order to get a reasonable price model. It is pointed out that the realization of obtaining distance value by calling Amap API, automatic cleaning of case data, automatic data processing and manual finishing. The selection and construction of the standardized template and the definition of the API interface of each system application layer function are presented, and the effect of some pages is shown.
【学位授予单位】：中国地质大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;F299.23

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