Yingying Jiang

The growing urban population has made densification a key focus of urban development. It is crucial to create an urban planning strategy that understands the environmental, social, and economic effects of densification at both the district and city levels. In Switzerland, densification is a legally binding aim to foster housing and jobs within urban boundaries. The challenge is to accommodate population growth while maintaining a high quality of life. Zurich exemplifies this situation, necessitating the accommodation of approximately 25% of the anticipated increase in both the resident population and associated workplaces, as of 2016. This study examined the effects of urban densification on urban forms and microclimates in the Altstetten–Albisrieden district. It developed five densification scenarios based on current urban initiatives and assessed their impacts. Results showed that the current Building and Zoning Plan provides sufficient capacity to accommodate growth. Strategies such as densifying parcels older than fifty years and adding floors to newer buildings were found to minimally impact existing urban forms. Using the SOLWEIG model in the Urban Multi-scale Environmental Predictor (UMEP), this study simulated mean radiant temperature (Tmrt) in the selected urban areas. The results demonstrated that densification reduced daytime average temperatures by 0.60 °C and diurnal averages by 0.23 °C, but increased average nighttime temperatures by 0.38 °C. This highlights the importance of addressing warm nights. The study concludes that well-planned densification can significantly contribute to urban liveability, emphasising the need for thoughtful building design to improve outdoor thermal comfort.

The increasing urban populace has propelled densification to the forefront of urban development initiatives. It is imperative to establish an urban planning strategy that thoroughly comprehends the effects of densification across environmental, social, and economic dimensions at both the district and city levels. In Switzerland, densification represents a legally binding policy objective aimed at fostering housing and job opportunities within established urban boundaries. Nevertheless, the challenge arises in accommodating population growth while preserving a high quality of life. Zurich exemplifies this situation, necessitating the accommodation of approximately 25% of the anticipated increase in both the resident population and associated workplaces, as of 2016. This study aims to investigate redevelopment approaches for urban densification and transformation within the context of Zurich, specifically examining the Altstetten-Albisrieden district. It produces five densification scenarios grounded in existing urban development initiatives, such as building replacement and extension, and assesses their impacts on urban forms and outdoor thermal comfort within urban areas at the neighbourhood level. Tools, including QGIS, Urban Multi-scale Environmental Predictor (UMEP), and R, facilitated data analysis, visualisation, and evaluation for each densification scenario, thereby aiding in the identification of potential challenges and strategies. The study concludes that appropriate measures for densification can significantly contribute to the development of liveable cities. In this context, the thoughtful design of building geometries is of paramount importance, as these elements play a crucial role in enhancing outdoor thermal comfort at the neighbourhood level and improving overall outdoor thermal comfort.

In light of the challenges confronting urban areas due to increasing populations and spatial constraints, urban green infrastructure is vital for fostering environmental balance, enhancing community well being, and promoting sustainable urban development. This situation underscores the necessity for strategies that reconcile the escalating demand for constructed environments with the enhancement of urban green infrastructure in urban areas. This study seeks to empirically investigate an integrated spatial analysis approach that synthesises the quality of urban green infrastructure and land characteristics by incorporating diverse perspectives, utilising the Altstetten-Albisrieden district of Zurich as a case study. It systematically evaluates factors including development density, green surface coverage, leaf area, green ratio and connectivity, and the accessibility of public green spaces within the studied district. A 10-m rectangular grid was employed to visualise and integrate the evaluation results from different perspectives. Furthermore, clustering algorithms were utilised to generate spatial patterns indicative of unique land characteristics. By comparing the results from various clustering algorithms, this study adopted the fifteen clusters derived from the K-Means method, employing radar charts to describe the characteristics of each cluster, and partitioned the district into five zones to provide recommendations regarding the provision and optimisation of urban green infrastructure within the district. Ultimately, it highlighted the necessity of increasing community gardens and green spaces in densely built areas and leveraging existing structures to augment vegetation and plant life for the enhancement of ecological benefits.

In light of the challenges faced by urban areas due to increasing populations and spatial limitations, urban green infrastructure is essential for fostering environmental equilibrium, enhancing community well-being, and promoting sustainable urban development. This situation emphasises the imperative for strategies that harmonise the growing need for constructed environments with the improvement of the natural ecosystem in urban locales. This study centres on diverse perspectives of urban green infrastructure and seeks to develop an integrated methodology to optimise the allocation of green space, utilising Altstetten-Albisrieden in Zurich as a case study. It investigates the distribution and accessibility of urban green space within the district from multiple perspectives and visualises the findings using a 10-meter rectangular grid. By employing clustering algorithms, the study categorises the grid cells according to their resemblances. Radar charts depict the attributes of each cluster and suggest opportunities for fortifying urban green infrastructure. Ultimately, the study provides a thorough analysis of urban green space provision in Altstetten-Albisrieden, presenting extensive recommendations for optimising green space planning with respect to social equity and natural recolonisation at the district level.

Urban greenery can help mitigate adverse effects caused by urbanisation. It benefits thermal comfort and individual well-being remarkably. Nevertheless, its benefit to social well-being needs to be further explored. This study investigated green spaces and their potential for boosting community integration in Altstetten–Albisrieden, Zürich. Three green-space types, public, community and private, were categorised by ownership and accessibility and were used to portray green-space structure. The study first analysed public green spaces’ connectivity and significance at the district scale. Four significant green space clusters and their 400-m service areas were selected as subsite cases for further discussion concerning their social potentials at the neighbourhood scale. Data on green space structure and space use activities were extracted from the open-source data of Zürich and were collected through onsite observation. The study concluded that practical public green spaces might be the combination of location and size in the urban fabric. The attributes of green spaces, such as size, boundary, and equipped facilities, could be decisive in influencing the activities in green areas significantly for enhancing community integration.

There is an overall scientific consensus that green spaces positively affect urban dwellers’ health and well-being. However, there is a gap between knowledge and policy objectives, and their translation into effective interventions to unleash the benefits of green spaces. Examining such ‘implementation gap’ in Zurich is relevant due to the integration of the ‘green urban agenda’ in various Swiss policies. The research narrows its focus to district 9, including the Altstetten and Albisrieden neighborhoods, which contain diverse green spaces despite ongoing densification. The study further explores four green space clusters and their 400-m catchment areas within the district. The research applies a mixed-method approach at three analytical levels: (1) identification of the critical tenets associated with the ‘green urban agenda’ through a review of multi-scale national policies, (2) assessment of green spaces’ provision, types, size, and mutual connectivity in Zurich’s district 9 based on online available quantitative data and on-site observation, and (3) identification of the dominant activities in four green space clusters through on-site observation. Through critical mutual examination of the identified ‘green urban agenda’ principles in the national policies and green space attributes, the findings reveal the extent of the convergence or divergence between policy trends and their implementation in practice.

There is an overall scientific consensus that public space and, mainly, space with a high ecological index – most notably experienced in green areas – positively affects individual and collective well-being and urban dwellers’ physical and mental health. However, the ‘reality check’ indicates difficulties in translating the assumed benefits of green space into implementable interventions in urban environments. To examine such an ‘implementation gap’ on the case of Zurich seems valid, given that the ‘green urban agenda’ debate has been embedded in numerous Swiss policies (from the federal to the municipal levels). In narrow terms, the research first focuses on Zurich’s district 9 consisting of two neighborhoods (Altstetten and Albisrieden) – the area under ongoing densification yet with a variety of green spaces, to then elucidate four green space clusters and their 400-meter catchment areas in the mentioned district. The mixed-method approach has been applied at three analytical levels: 1) documentary analysis of multi-scale national policy toolkits, to identify the critical tenets associated with the ‘green urban agenda’, 2) assessment of green spaces in Zurich’s district 9 based on online available quantitative data and on-site observation, to determine their provision, types, size and mutual connectivity, and 3) analysis of four green space clusters within the mentioned district through on-site observation, to identify green space attributes and main activities. Through critical mutual examination of the identified ‘green urban agenda’ principles in the national policies, on the one hand, and green space attributes, on the other, the research findings reveal the extent of the convergence and/or divergence between the ‘green urban agenda’ policy trends and their implementation in practice.

At the beginning of 2020, the COVID-19 broke out and spread rapidly in a short period of time. It has a serious impact on global political, economic and social stability. It has become a major public health incident that needs to be resolved urgently. With the development of computer information technology, big data provides a good technical way to prevent and respond to public crises. In the “Recent Work Plan for Prevention and Control of the COVID-19” promulgated by the State Council, it is pointed out that all localities should make full use of “big data + grid” and other means to do a good job in epidemic monitoring, detection, investigation, and early warning. Based on the background of the COVID-19, this article fully studies the application of computer technology in the community's response to new crown pneumonia and the existing problems, and is committed to improving the ability of computer technology to help solve public crises, giving full play to the convenient and efficient advantages of computer technology, and using computer information technology to build Co-build and share data network covering the whole country. The introduction of big data methods and means into the field of public management is an inevitable way to realize management modernization and an inevitable trend in the era of big data.