基于社会网络数据的地方发展项目成功评估

A. Gusakov
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引用次数: 0

摘要

区域发展目标的复杂性和社会变化的动态使扩大指标的组成和用于分析的一套工具的任务列入议程。必须克服区域规划过程的过度形式化。本文概述了关于使用社交网络数据来分析区域发展重要过程的出版物。本文旨在分析在区域和地方发展计划的制定和监测中使用这些新工具的可能性。出版物的选择是基于它们涵盖了这些发展计划的主要方面。在地域分析中应用社会网络数据的主要方向,以及在管理过程中让公众成员参与的机会。新的数据来源使用于分析和规划领土发展的传统工具更加丰富。这些数据可以成功地用于了解当地社区的分层和确定社会问题。通过可达性模型和人类行为的时空模型的识别,建筑师和规划者可以了解人们在一个区域内的活动方式,从而评估街道、城市空间、公共交通路线和行人路线的便利性。社会网络中的数据不断积累这一事实意味着,这些数据来源可用于监测和评价地方和区域社会经济发展项目的成功。大多数人使用社交网络,这一事实有助于大量居民直接参与收集和更新各种数据的过程,以及开发项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Success of Local Development Projects Based on Data From Social Networks
The complexity of the goals of regional development and the dynamics of social changes have placed on the agenda the task of expanding the composition of indicators and the set of tools used for analysis. It is necessary to overcome the excessive formalization of regional planning processes. This article provides an overview of publications on the use of data from social networks to analyze the processes important for the development of regions. This review aims to analyze the possibility of using these new tools in the development and monitoring of regional and local development programs. Publications were selected on the basis that they cover the main aspects of such development programs. The main directions for the application of data from social networks in territorial analytics are identified, as well as opportunities for involving members of the public in management processes. New sources of data have made it possible to enrich traditional tools used for the analysis and planning of territorial development. These data can be successfully used to understand the stratification of local communities and identify social problems. Identification of accessibility models and spatio-temporal models of human behavior allows architects and planners to understand how people move within an area, so as to assess the convenience of streets, urban spaces, public transport routes, and routes for pedestrians. The fact that data in social networks are constantly accumulating means that these data sources may be used to monitor and evaluate the success of local and regional socio-economic development projects. Most people use social networks, and this fact facilitates the direct participation of a large number of residents in the process of collecting and updating various data, as well as in development projects.
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