首页> 外文期刊>International Journal of E-Planning Research >Virtual Identification, Public Engagement and 3D Cadastral Systems
【24h】

Virtual Identification, Public Engagement and 3D Cadastral Systems

机译:虚拟身份识别,公众参与和3D地籍系统

获取原文
获取原文并翻译 | 示例
       

摘要

The research articles included in the third issue of volume four of the International Journal of E-Planning Research (IJEPR) cover three methodological issues in the field of Urban e-Planning: the virtual identification of dwelling characteristics in urban areas; public engage-mentthrough online and mobile crowdsourcing in emergency response; and the integration of legal aspects in 3D cadastral systems. In the first article, 'Virtual Identification of Dwelling Characteristics Online for Analysis of Urban Resource Consumption', Maryam Saydi and Ian Bishop introduce an original technique, still in a relatively early stage of development, to assess dwelling characteristics as predictors of residential energy and water demand. Although traditional data collection methods have been used in the past to collect data on the impact of dwelling structure on residential energy and water consumption, an increasingly important issue in recent decades, and expected to be even more important in the future due to the effects of climate change, virtual identification techniques may well replace or complement traditional data collection methods, as data can be collected more easily, saving time and travel costs when compared to the traditional data collection methods. The authors are well aware of issues related to the validity of the data collected through VIDCO an issue discussed in the article.
机译:《国际电子规划研究》(IJEPR)第四卷第三期中的研究文章涵盖了城市电子规划领域中的三个方法论问题:虚拟识别城市居民特征;通过在线和移动众包进行公众参与以进行应急响应;以及在3D地籍系统中整合法律方面。 Maryam Saydi和Ian Bishop在第一篇文章“在线识别居住特征以在线分析城市资源消耗”中介绍了一项仍处于发展初期的原始技术,以评估作为住宅能源和水预测指标的居住特征需求。尽管过去已使用传统的数据收集方法来收集有关住宅结构对住宅能源和水消耗的影响的数据,但在最近几十年中,这一问题日益重要,并且由于以下方面的影响,预计在将来会更加重要。随着气候变化,虚拟识别技术可以很好地替代或补充传统的数据收集方法,因为与传统的数据收集方法相比,可以更轻松地收集数据,从而节省了时间和旅行成本。作者非常了解与通过VIDCO收集的数据的有效性有关的问题,这是本文中讨论的问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号