RESUMO
Efficient information management is pivotal for the effective execution of spatial planning projects, yet many encounter hurdles stemming from disjointed information systems and processes. In this article, authors consider the intricacies of information management within the realm of spatial planning, leveraging insights from the multifaceted MAKING-CITY project to elucidate common challenges and propose innovative solutions. The proposed conceptual model for an integrated information management system offers a holistic approach, aiming to eliminate weaknesses inherent in existing information landscapes by seamlessly integrating diverse information components into a unified framework. By facilitating robust communication channels and synchronizing the actions of all project participants and stakeholders, this model enhances collaboration, streamlines workflows, and fosters informed decision-making. Importantly, the adaptability and versatility of developed model ensure its applicability across various spatial planning initiatives, offering a scalable solution to address the evolving demands of urban development projects. Through a meticulous examination of real-world challenges and practical solutions, this article contributes to the advancement of information management practices in spatial planning, laying the groundwork for more efficient, sustainable, and inclusive urban development processes in today's dynamic landscape.
RESUMO
Urban heat island (UHI) effect has serious negative impacts on urban ecosystems and human well-being. Mitigation of UHI using nature-based solutions is highly desirable. It was well known that urban green infrastructure (UGI), i.e., urban vegetation, can effectively mitigate UHI effect. However, the potential of urban blue infrastructure (UBI), i.e., urban surface water, on UHI mitigation is not well understood, although its potential to lower UHI effect via evaporation is similar to the biophysical mechanism of evapotranspiration through vegetation. In this paper, we study the relationship between UBI and land surface temperature (LST) in Wuhan city in central China, using a normalized difference water index (NDWI), maximum local cool island intensity and the maximum cooling distance as indicators for the cooling effects of UBI, respectively. We found a significant negative linear relationship between mean LST and NDWI after NDWI passes a critical threshold value. NDWI is an effective biophysical parameter to delineate the spatial distribution of UBI. The cooling effects of UBI are influenced both by its size and shape. Water surface temperature decreased logarithmically with increasing UBI size, critical threshold values of UBI size corresponding to maximum cooling efficiency do exists. Maximum cooling distance and maximum local cool island intensity are also affected by the shape and size of UBI, and exhibit seasonal and spatial variations. These results provide insights for urban landscape planning regarding how to use UBI as a nature-based solution to improve urban thermal environment.
