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Based on the extended application of big data technology in the planning industry in recent years, the institute has carried out a series of explorations and studies and accumulated certain achievements and experiences. By sorting out the existing research results, key emphases in work can be roughly summarized into four aspects: data standard setting, model innovation and application, multi-source data analysis, and the refined planning and design relying on big data. It can be said that the big data analysis application system in the institute has been formed initially.

Overview of Data Application Module

A brief introduction is given below on the relevant research results based on the above-mentioned four aspects.

1. Formulation according to standards

The detailed regulations shall be conducted for the standards of processes such as the submission for approval, reporting for filing, information-based warehouse input of the statutory planning of urban and rural areas, so as to comply with the historical trend of urban planning informatization, and respond to the national policy of "strive to the end as guided in the blueprint"; in order to meet the construction needs of "Guangdong Wisdom Planning Information Services Platform", it provides the data support to promote the urban-rural planning and management system reform and the linkage of provinces and cities. It has formed seven standard documents, which are as shown in Figure 1,

including Specification for Submission for Approval (Filing) of Statutory Urban-rural Planning Results in Guangdong Province (including urban master plan, recent urban construction planning, detailed planning for urban control) and Data Standard of Statutory Urban-rural Planning Results in Guangdong Province (including urban master plan, recent urban construction planning, detailed planning for urban control) and Classification Code and Symbol Style Standards for Statutory Urban and Rural Planning Elements of Guangdong Province.

        It is featured with three orientations

        (1) Oriented at the planning information, all the data are guaranteed with the standards of "all covered without exception";

        (2) Oriented at the urban and rural planning reform, the key data is guaranteed with the standards of "aiming at well managing large enterprises while adopting more flexible policies toward small ones";

        (3) Oriented at the provincial, ministerial and municipal three-level three linkage, the input efficiency is guaranteed with "template + software".

2. Build high plasticity model to meet the promotion needs

The "Big Data + Planning" is the new direction for planning and development. It is the top priority for the combination of dual disciplines as how to effectively utilize the big data and achieve the standardization and flow pattern of the processes such as data acquisition, data storage, data analysis and data visualization.

        In this project, by reserving the model parameters interface, it ensures that the model data can be replaced and the analysis parameters can be fine-tuned, so that the model can be applied to different planning and site selection projects, including urban facilities location, hospital location, fire system site selection, etc. The standardized model analysis process can further improve planning efficiency, increase planning accuracy, save planning time and manpower, so as to better save planning costs, and reflect the humanistic and intellectual characteristics of planning as shown in Figure 2.

3. Multi-source data analysis

Through the integration of multi-source data such as environment, municipal administration, spatial status, planning plan, POI data, real-time heat distribution of population, real-time traffic flow data, real-time sign-in status of network users and so on, the analyses are conducted for eco- environment, wind environment, water environment, residents living situation and residents travel modes and preferences, the flow of passengers and goods and so on, so as to provide data support for the preparation of a more reasonable planning program, which is as shown in Figure 3.

4. Refined planning and design relying on big data

我院近年來承擔(dān)的典型大數(shù)據(jù)應(yīng)用項(xiàng)目：

The typical big data application projects undertaken by the Institute in recent years are as follows:

1、基于大數(shù)據(jù)的住房空置率分析方法及應(yīng)用研究

 A Big Data Method on Housing Vacancy Rate Analysis and Application Research

2、珠三角地區(qū)城市通風(fēng)廊道規(guī)劃建設(shè)模式研究

Study on Planning and Construction Mode of Urban Ventilation Corridor in Pearl River Delta

3、時代地產(chǎn)土地價值研究

Research on Land Value of Times Property

4、廣東省法定城鄉(xiāng)規(guī)劃成果報審（報備）技術(shù)規(guī)范暨數(shù)據(jù)標(biāo)準(zhǔn)

Planning Data Standards for Approval (filing) of Statutory Urban and Rural Planning Guangdong (for Trial Implementation)

5、關(guān)于FLUENT 軟件在城市總體規(guī)劃中應(yīng)用方法的研究

Research on Application Method of FLUENT in City Overall Plan

6、粵北欠發(fā)達(dá)地區(qū)城市擴(kuò)容提質(zhì)之空間網(wǎng)絡(luò)研究——以韶關(guān)市為例

The Spatial Network of Accelerating the Center City Expansion and Quality Improvement in Less Developed Areas in Northern Guangdong—A Case Study in Shaoguan

7、基于土地經(jīng)濟(jì)與交通承載模型的容積率區(qū)間確定與GIS 模塊實(shí)現(xiàn)研究

Research on the Volume Ratio Determination and GIS Module Implementation Basing on Land Economy and Traffic Bearing Model

8、基于大數(shù)據(jù)的足球場地設(shè)施規(guī)劃選址專題研究

Research on Football Facilities Location Allocation Based on Big Data

9、華夏幸?；浉郯拇鬄硡^(qū)都市圈產(chǎn)業(yè)新城選址研究

Siting Research on Industrial New City of Metropolitan Area in Guangdong-Hong Kong-Macao Greater Bay Area of CELD