Spatial Layout Analysis of Monumental Landscape of Zhongshan Park in Beijing

The creation of monumental landscapes in urban parks is a materialized expression of human spiritual emotions, carrying the functions of triggering people's thinking, arousing inner emotions and spreading spiritual connotations such as regional culture. Scientific spatial layout and functional analysis of commemorative landscape is conducive to giving full play to the effect of commemorative landscape.Through field investigation and literature reading, the spatial layout, landscape elements and locality of the monumental theme landscape in Zhongshan Park in Beijing were comprehensively analyzed, showing that there is a close correspondence between spatial change and commemorative emotional ups and downs.

GenFloor:Interactive generative space layout system via encoded tree graphs

Automated floorplanning or space layout planning has been a long-standing NP-hard problem in the field of computer-aided design,with applications in integrated circuits,architecture,urbanism,and operational research.In this paper,we introduce GenFloor,an interactive design system that takes geometrical,topological,and performance goals and constraints as input and provides optimized spatial design solutions as output.As part of our work,we propose three novel permutation methods for existing space layout graph representations,namely O-Tree and B*-Tree representations.We implement our proposed floorplanning methods as a package for Dynamo,a visual programming tool,with a custom GUI and additional evaluation functionalities to facilitate designers in their generative design workflow.Furthermore,we illustrate the performance of GenFloor in two sets of case-study experiments for residential floorplanning tasks by(a)measuring the ability of the proposed system to find a known optimal solution,and(b)observing how the system can generate diverse floorplans while addressing given a constant residential design problem.Our results indicate that convergence to the global optimum is achieved while offering a diverse set of solutions of a residential floorplan corresponding to local optimums of the solution landscape.

UAV-based spatial pattern of three-dimensional green volume and its influencing factors in Lingang New City in Shanghai,China

Three-dimensional green volume(TDGV)reflects the quality and quantity of urban green space and its provision of ecosystem services;therefore,its spatial pattern and the underlying influential factors play important roles in urban planning and management.However,little is known about the factors contributing to the spatial pattern of TDGV.In this paper,TDGV and land use intensity(LUI)extracted from high spatial resolution(0.05 m)remotely sensed data acquired by an unmanned aerial vehicle(UAV),anthropogenic factors^(1))and natural factors^(2))were utilized to identify the spatial pattern of TDGV and the potential influencing factors in Lingang New City,a rapidly developed coastal town in Shanghai.The results showed that most of the TDGV was distributed in the western part of this new city and that its spatial variations were significantly axial.TDGV corresponded well with the chronologies of land formation,urban planning,and construction in the city.Generalized least squares(GLS)analysis of TDGV(grid cell size:100×100 m)and its influencing factors showed that the TDGV in this new city was significantly negatively correlated with both LUI and distance from roads and significantly positively correlated with land formation time and distance from water.Distance from buildings did not affect TDGV.Additionally,the degree of influence decreased in the following order:distance from water>land formation time>distance from roads>LUI.These results indicate that the spatial pattern of TDGV in this new town was mainly affected by natural factors(i.e.,the distance from water and land formation time)and that the artificial disturbances caused by rapid urbanization did not decrease the regional TDGV.The main factors shaping the spatial distribution of TDGV in this city were local natural factors.Our findings suggest that the improvement in local soil and water conditions should be emphasized in the construction of new cities in coastal areas to ensure the efficient provision of ecological services by urban green spaces.