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Research on Quantitative Evaluation and Influencing Factors of the Vitality of Newsstand – an example of Beijing
No full textNewspaper kiosks used to be cultural Windows of cities, but in the data era, they face many challenges of survival and problems of future renewal. At the micro level, this study obtained the total number of transactions of 25 existing kiosks and the number of transactions of each derivative function through field research and carried out a quantitative evaluation on the vitality of kiosks based on this. The paper further analyses the explanatory power of five parameters, including population density, commercial function, topological form, geometric form and street walkability, on the vitality of the existing newsstands. At the macro level, based on Baidu Street View time machine, this study obtained the spatiotemporal differentiation data of 277 newsstands in the western part of Beijing which covers an area of about 160 square kilometres (2013–2021) and compared the difference of the above five parameters of the death and the existing newsstand space in an eight-year time span. In this way, we can reveal the reasons that affect the vitality of the newsstand for a long time. It is found that the walkability and population density are the main factors affecting the vitality of newsstands, both in the existing newsstands and the newsstands within a period of eight years. In terms of each function, the correlation between the number of transactions of newspapers and periodicals and the number of transactions of life and retail functions and the two parameters of walkability and commercial function density are different. On this basis, the paper puts forward some strategies, such as function updating and space positioning updating, in order to provide reference for the demolition, construction and urban renewal of the newsstand in the future
Reimagining Urban Identity within a Legacy City
No full textToledo is well known as a legacy city in the academic world, but the public might be more familiar with its nickname ‘The Glass City’, a function of its long history of glass manufacture with many of the largest glass companies in the world having their origins here. As part of the thriving industrial economy in the region and especially as a part of the auto industry centred around nearby Detroit, Toledo grew rapidly in the early and mid-20th century but was unprepared for loss of manufacturing in the region and the many cycles of change that followed. In this paper, we examine the transformation of Toledo’s downtown in the last several decades as a way to illustrate spatial transformation following population and economic decline in a legacy city. The research team focus on select examples of large-scale investments in the downtown that illustrate four themes in the reimagining of Toledo’s urban identity and examine their varying success as urban catalysts in shaping the spatial and economic transformation in a post-industrial context
Greenways as an Integrated Urban Planning and Design Strategy: A Case Study of Charlotte Metropolitan USA
No full textAs a multi-purpose green network, greenways are important linear outdoor spaces to promote healthy living in urban areas. Well-planned greenways along with other open spaces connect homes, schools, and commercial centres and link other functional urban spaces together to produce a desirable urban form that increases market values, enhances storm water management, and improves the overall quality of residents’ lives. This paper takes the greenway system in the Charlotte metropolitan in the south-eastern United States as an example to analyse its planning and construction processes over the past four decades. In particular, this paper discusses and summarizes the implementation strategies of greenway development as a catalyst for sustainable development of urban form. These strategies are focused on multiple benefits of greenways in promoting urban development, optimizing urban spatial structure, promoting healthy urban living, and improving ecological functions in the built environment
A Morphological Analysis for the Inclusion of Social Housing Projects in the Centre of Guayaquil, a Restriction or an Opportunity?
No full textUrban centres revitalisation is a task undertaken by the governments of Latin American countries decades ago, following the trends of European nations. The high cost of peri-urban development, the deterioration of urban centres and the sub-use of existing urban infrastructure ignited interest in city centre revitalisation. Guayaquil is no exception to the above. In a city with a continuous expansion of its urban boundaries at a high economic, social and environmental cost, it becomes essential to consider housing projects to revitalise its urban centre. The purpose of this study is to analyse possibilities or restrictions for including social housing projects in the city centre, based on the analysis of existing urban tissues. A combination of methods is used, including the study of concepts, a morphological analysis of urban variables and a walkability assessment. Besides, land use instruments with a social focus are included for promoting and securing land for housing developments to contribute to urban centre revitalisation. Results indicate the relation between urban form, variables and possibilities for urban centre revitalisation through the inclusion of social housing projects. The study concludes with a critical reflection regarding the opportunities or restrictions of the selected approach to include new revitalisation proposals and how the different visions of the city could be integrated and included in the existing urban pattern
Nieliniowa analiza cienkościennych izotropowych i gradientowych struktur płytowych poddanych obciążeniom mechanicznym lub/i termicznym
No full textŹródło BIP (https://politechnikalodzka.bip.gov.pl/dyscyplina-inzynieria-mechaniczna-dr-hab/277841_dyscyplina-inzynieria-mechaniczna.html
Zastosowanie frakcjonowania pianowego i wodnej ekstrakcji dwufazowej do oczyszczania C-fikocyjaniny z Thermosynechococcus PCC 6715
No full textAnaliza podatności na biodegradację strumieni ścieków pochodzących z procesu miedziowania
No full textSpatial form compact development path of coal mining cities – take Tangshan as an example
No full textUnder the background of global climate change and economic development, coal mining cities are forced to transform. However, due to the inherent geological characteristics, the transformation process is often accompanied by inefficient use of urban space. In order to realize the sustainable compact development of space, this research put forward a grid analysis method integrating geological condition, land cover, three-dimensional form of constructions, urban function and urban activity as five fundamental factors for assessing compactness of ecological, production and living spaces of coal mining cities. Tangshan, a typical coal mining city in China, was selected as a case study area. The result showed that Tangshan had experienced a complete ecological space construction but in the urban fringe, the hollowing of high-density living space and low-density production space occurred. In addition, conflicts between mines and some urban land still existed. Therefore, the research area was further divided into four regions with different development strategies: unstable region, green region, new city core and urban fringe. The new urban core was positioned as the compact development area to develop a variety of urban functions, while suggestions for reducing urban density and conservative development were adopted for unstable areas and urban fringe. The analysis and sub-regional development methods fit the characteristics of coal mining cities and can provide policy reference for their sustainable and compact development
On the Importance of the RGB-D Sensor Model in the CNN-based Robotic Perception
No full textMobile and manipulation robots operating indoors use RGB-D
cameras as the environment perception sensors. To process data from RGB
and depth cameras neural networks are applied. These neural-based systems
are trained using synthetic datasets due to the difficulties of obtaining ground
truth data on real robots. As a result, the neural model used on the real robot
does not produce satisfactory performance due to the differences between the
images used during training and the inference. In this paper, we show the
importance of depth sensor modeling while training the neural network on
a synthetic dataset. We show that the obtained neural model can be used on
the real robot and process the data from the real RGB-D camera