Exploration of Intelligent Building Planning for Urban Renewal

Abstract

The spatial layout of urban villages seriously affects the living environment and integrated development of urban and rural areas. Using digital means to assist in the reconstruction of urban villages is necessary and urgent. This study built an urban renewal framework for intelligent building planning with a proposed multi-party collaborative pattern. First, villagers’ needs, and relevant standards and regulations were merged into planning requirements, which were formulated into planning goals and criteria. With the quantitative goals and criteria, building planning and design algorithms were developed. Furthermore, the method was verified to achieve an intelligent layout of buildings. Finally, under certain conditions, the average difference between the plot ratio calculated by the program and the actual plot ratio was 0.02, and that between the building intensity calculated by the program and the actual building intensity was 0.02. Within 11.43 hectares, 500 buildings were generated with a total floor area of 27.72 hectares, and the average time taken for scheme generation was 10 s. This method can efficiently generate a plan similar to the actual floor area ratio and building density and optimize the problem of insufficient spacing. Moreover, adjusting the parameters can automatically generate a variety of schemes that can support the layout design of rural buildings.

Decision-Making Conflict Measurement of Old Neighborhoods Renovation Based on Mixed Integer Programming DEA-Discriminant Analysis (MIP DEA–DA) Models

“…During the old neighborhood renovation project, residents need to be mobilized to participate in the initiative and enthusiasm of the renovation and encouraged to participate voluntarily [22]. This can, to some extent, compensate for the shortcomings of the old neighborhood renovation under the administration's leadership [23].…”

MFTSC: A Semantically Constrained Method for Urban Building Height Estimation Using Multiple Source Images

“…Thankfully, remote sensing technology provides a highly accurate means of obtaining a wide range of data related to building heights. These data can be effectively harnessed for the formulation of comprehensive urban planning schemes, the evaluation of urban volume and floor area ratios [5], and its utilization as fundamental data for urban disaster prevention and mitigation [6]. In practice, the increasing utilization of multi-source high-resolution satellite data offers a promising avenue for efficiently extracting building information over expansive areas through remote sensing techniques [7].…”