规划师主体模型：一项低碳城市形态规划支持的工具.pptx

1、1 城市模型与 规 划支持系 统1.1 规 划支持系 统 在城市 规 划中的 应 用探索1.2 多尺度的北京城市空 间发 展模型1.3 规 划 师 主体模 型 ： 一 项 低 碳 城 市 形 态 规 划 支 持 的 工具1.4 囊括方法、 软 件和模型的 规 划支持系 统 框架体系1.5 面向空 间规 划的微 观 模 拟2 大模型与定量城市研 究2.1 大模型及中国 应 用案例2.2 基于 OpenStreetMap和 兴 趣点数据的地 块 特征自 动识别2.3 地 块 尺度中国所有城市的空 间扩张 模 拟2.4 中国 PM2.5的人口暴露 评 估2.5 利用北京公共交通刷卡数据的若干定量城市

2、研究2.6 当前定量城市研究的四 项变 革3 规 划 设计 响 应3.1 数据增 强 设计 ：新数据 环 境下的 规 划 设计 回 应 与改变3.2 街道城市主 义3.3 城市 规 划 实 施 评 价： 针对 中国城市的分析框架3.4 基于人 类 活 动 和移 动 数据的城市增 长边 界 实 施 评 价3.5 中国收 缩 城市及其研究框架城 市 模型及其 规 划 设 计 响应3.6 历 史上的北京 规划Applied Urban Models and Their Applications in Urban Planning & Design3.6 Historical city plans i

3、n Beijing1 Urban Models and Planning Support Systems1. Planning support systems in urban planning2. Beijing urban spatial development model families1.3 Planner Agents: A toolkit for support planning a low carbon urban form4. An applied planning support toolkit including quantitative methods, softwar

4、e and models in China5. Urban micro-simulation for spatial planning2 Big Models and Quantitative Urban Studies1.Big models: Several fine-scale urban studies for the whole China2.Automated identification and characterization of parcels (AICP) with OpenStreetMap and points of interest3. Simulating urb

5、an expansion at the parcel level for all Chinese cities4. Estimating population exposure to PM2.5 in China5. Bus landscapes: Analyzing commuting pattern using bus/metro smartcard data in Beijing6. Four changes on quantitative urban studies in the big data era3 Applications in Urban Planning & Design

6、1.Data augmented design (DAD): Planning & design in new data environment2. Street urbanism3.Evaluation of urban planning implementation: An analytical framework for Chinese cities and case study of Beijing4. Evaluating the effectiveness of urban growth boundaries with human mobility data5. Shrinking

7、 cities in China and the research agenda1 INTRODUCTIONLand use pattern (urban form), or land use layout, is a key part of physical plan (master or detailed) Spatial distribution of land use and density Hard to predict by a planning support system (PSS) Proxy of carbon emission and energy consumption

8、 Land use pattern scenario analysis(LUPSA) most are parcel-based CUF (Landis 1994) What if? (Klosterman 1999) INDEX (Allen 2001) iCity (Stevens et al. 2007) Other papers regarding land use layout optimizationPlanners in LUPSA tools Less attention was paid on the behavior of urban planners Our resear

9、ch question: How do planners compile land use pattern? What are rules (preferences)? How to identify these rules? Are these rules varying among planners? Could we develop a PSS for “simulating” land use patterns using the identified rules? Is the pattern associate with low carbon emission?Building c

10、ity in a vitroHatner and Benenson, 2007, EPBThe entropy of LEGOCrompton, 2012, EPBIn this research, we will identifyplanner rules by Questionnaire What one planner will do Mining plan drawings What one planner has doneThen we willdevelop a PSS (Planner Agents),and simulate land use pattern using ide

11、ntified rules.Planner A Planner CPlanner BIdeally and hopefully to save planners time and promote plan compilation efficiency Support planning a low carbon urban form E.g. A plan area Identified rules of 20 planners Generate 20 patterns in one minute by using PlannerAgent The principal investigator chooses a perfect one All 20 planners focus on it and propose the final drawing Planner Cs work associates with low carbon