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Urban landscapes play a significant role in supporting municipal, ecological and social systems. Besides, valuable environmental services and urban green spaces provide social and psychological services, very important for the liveability of modern cities and the well-being of urban residents. It is clear that the area of green space in a city, the method of designing urban landscape and access to urban green space potentially affect the health, happiness, comfort, safety and security of urban dwellers. Urban landscape plays a significant role in providing habitats for wildlife, and an important vegetation type in doing this is species-rich herbaceous vegetation that provides pollen and nectar plus physical habitat for native fauna. Any factor that makes an impression on the urban landscape (such as climate change) will affect people’s lives directly or indirectly. There is a universal consensus that the temperature has increased in most of the world over the past century the investigation of climate change impacts on the urban landscape is the purpose of this study.

Understanding the process of climate change adaptation is necessary to design plant communities for use in public landscapes. Increased CO₂ and air temperature in conjunction with the changing rainfall conditions, as the three important factors of climate change, potentially alter almost all world ecosystems. Climate change provides new opportunities, and in some cases, an obligate need to use non-native plant species in conjunction with native plant species, not only to reduce the side effects of climate change but also to increase the species diversity and aesthetic value in meadow-like naturalistic planting design.

The authors confirm that this work is original and has not been published elsewhere. In this paper, the authors report on the effects of climate change on urban landscape and suggest different kind of solutions to reduce the effects. The paper should be of interest to readers in the areas of landscape architecture, landscape ecologist, landscape planner, landscape managers and environmental designer.

Recognising the growing importance of environmental and sustainable activities and the role of communication strategies in soliciting their financing, this work investigates the influence of message framing, green emphasis and quantitative information on the probability of green crowdfunding campaigns' success.

This analysis is based on crowdfunding campaigns published between 2015 and 2020 on the Indiegogo platform in the category “Community projects – Environment”. The study develops an in-depth qualitative content analysis of the projects before performing an empirical examination to determine funding causes.

Communication strategies (message framing, green emphasis and quantitative goals) affect funding success. However, project category moderates the impact of message framing and green emphasis on campaign success. While positive framing increases agri-food campaign success, negative framing is more effective for clean energy and climate preservation projects. Moreover, indication of a quantitative goal and a marked green emphasis in a project's presentation increase campaign success, but a too marked green emphasis is only effective for agri-food projects.

Green entrepreneurs and campaign managers must work carefully on their projects' communication, accounting for the type of product proposed, emphasising green components in its description and utilising quantitative information to present future goals. These strategies maximise backers' responses and enable entrepreneurs to obtain funding. The authors’ findings may be extended to other contexts, including the banking sector, to craft effective communication strategies for green financial products.

By applying framing theory in a new context (i.e. the online financing of green entrepreneurs), this study identifies new campaign success determinants and provides evidence for the moderating role of project category. Furthermore, the study highlights the need to develop different communication strategies for social and environmental-oriented projects.

This paper aims to introduce vehicular network platform, routing and broadcasting methods and vehicular positioning enhancement technology, which are three aspects of the applications of intelligent computing in vehicular networks. From this paper, the role of intelligent algorithm in the field of transportation and the vehicular networks can be understood.

In this paper, the authors introduce three different methods in three layers of vehicle networking, which are data cleaning based on machine learning, routing algorithm based on epidemic model and cooperative localization algorithm based on the connect vehicles.

In Section 2, a novel classification-based framework is proposed to efficiently assess the data quality and screen out the abnormal vehicles in database. In Section 3, the authors can find when traffic conditions varied from free flow to congestion, the number of message copies increased dramatically and the reachability also improved. The error of vehicle positioning is reduced by 35.39% based on the CV-IMM-EKF in Section 4. Finally, it can be concluded that the intelligent computing in the vehicle network system is effective, and it will improve the development of the car networking system.

This paper reviews the research of intelligent algorithms in three related areas of vehicle networking. In the field of vehicle networking, these research results are conducive to promoting data processing and algorithm optimization, and it may lay the foundation for the new methods.