2018- 2028年秘鲁万卡约圣卡洛斯部门数据短缺情况下,利用微模拟技术预测城市土地利用变化

Gonzalo Peña Zamalloa
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引用次数: 0

摘要

短期和中期城市预测是城市规划的有用工具,尽管拉丁美洲城市的许多地方政府掌握的信息很少。这就是本研究的背景。具体而言,我们将研究秘鲁万卡约市的圣卡洛斯地区,该地区显示出高度的整合和巨大的城市活力。本研究的目的是提出一种实用的微观模拟方法,在数据稀缺的情况下,可以有效地预测城市环境中可能出现的场景。该模型包含二进制函数和多项式函数。它使用一个简单的编程代理,该代理具有用于调整投影的目的规则。建立了一个数据参考框架,并辅以卫星图像、直接观测、使用开放数字记录和专家判断等混合数据收集方法。投影过程中使用了多种软件工具,如ArcGIS、SPSS、MS Excel和编程脚本。研究结果显示,圣卡洛斯地区的发展非常独特,独栋房屋的设置发生了重要变化,有利于低密度多户房屋的出现。与此同时,该行业用于经济和服务用途的建筑也在增加。城市垂直增长的趋势和自由面积的减少已被明确确定。该研究的程序是明确的,并鼓励使用技术工具来支持数据收集,目的是制定更好的城市规划。这项研究还表明,有必要在这一领域进行更多的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proyección del cambio de uso de suelo urbano mediante técnicas de microsimulación, bajo un escenario de escasez de datos en el sector de San Carlos, Huancayo, Perú 2018- 2028
Short and mid-term urban projections are useful tools for the planning of a city, although many local governments of Latin American cities have very little information. Such is the context of this study. Specifically, we will study the sector of San Carlos in the city of Huancayo, Peru, which shows high consolidation and great urban dynamism.  The purpose of this study is to present practical methods of micro-simulation that can effectively project possible scenarios inside urban environment under conditions of data scarcity. The model incorporates binary and multinominal functions. It uses a simple programmed agent with purpose rules used to adjust the projections. A data reference framework is established, supported by mixed methods of data collection such as satellite images, direct observation, use of open digital records and expert’s judgement. A diversity of software tools was used in the projection process, like ArcGIS, SPSS, MS Excel and programmed scripts. The results show a distinctive development of the sector of San Carlos with important changes in the settings of single family houses that favor the emergence of low density multi-family houses. At the same time the sector experiences an increase of buildings for economic and service uses. A trend in vertical urban growth and a free area reduction are clearly identified. The procedures of the study are clear and encourage the use of technological tools to support the collection of data, with the purpose of developing better urban plans. This study also shows that there is a need to have more research done in this area.
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