Matrix Corporation (Matrix) is planning to develop the Sky City Mixed-use hub on a 109,400m2 area in Saint Petersburg, Russia.The project involves the construction of a mixed-use complex, office space on a 52,000m2 area, retail facilities on a 33,000m2 area, a hotel, a fitness center with a spa, cafes, restaurants, a two-level underground car parking facility and related facilities.The in-house construction division of Matrix will undertake the construction work on the project.In May 2015, Matrix got approvals for the construction of the project.Stakeholder Information:Planning Authority: The City Council of Saint Petersburg Read More

In the table, the symbols represent: H—number of households in urban area, Hc—proportion of households with one or more cats, Ch—average number of cats per household with one or more cats. C is shelter capacity and S is average length of stay. Df is log-transformed density of free-roaming cats (cats/ha), Dferal is the transformed density of feral cats (cats/ha), city area is the area in hectares of the urban area of interest.

Monitoring municipal planning instruments, PUL, PP, matrix centres. It is a view built on the tables of the Management software of the Municipal Urban Plans and on the monitoring tables of the urban planning instruments, the plans for the use of the coasts, the detailed plans of the matrix centers and the perimeters of the matrix centres.

The Full Matrix Variable Message Sign (FMVMS) market is experiencing robust growth, driven by increasing demand for intelligent transportation systems (ITS) globally. The market's expansion is fueled by several key factors. Firstly, governments worldwide are investing heavily in upgrading their road infrastructure to enhance safety and efficiency. FMVMS play a crucial role in this by providing real-time traffic information, managing congestion, and disseminating emergency alerts. Secondly, the rising adoption of smart city initiatives is further boosting market growth. FMVMS are integral components of smart city infrastructure, contributing to optimized traffic flow and improved urban mobility. The market is segmented by application (highway, airport, city road, others) and type (fixed, mobile). While fixed FMVMS currently dominate the market due to their widespread deployment in highway and city road networks, mobile FMVMS are gaining traction due to their flexibility and portability, offering advantages in managing temporary events or construction zones. Competitive pressures are intense, with numerous established players and emerging companies vying for market share. Technological advancements, such as the integration of advanced communication technologies and higher-resolution displays, are continuously driving innovation within the industry. The market is expected to witness a steady CAGR, with North America and Europe currently leading in adoption, followed by the rapidly developing Asia-Pacific region. However, high initial investment costs and the need for skilled maintenance personnel present some restraints to market growth. Looking ahead, the FMVMS market is poised for significant expansion, particularly in emerging economies. Factors like increasing urbanization, government regulations promoting road safety, and the continuous development of more sophisticated and cost-effective FMVMS technologies will fuel this growth. The integration of advanced features such as improved connectivity, enhanced display capabilities, and integration with other ITS components, along with the increasing adoption of mobile FMVMS, will be key trends shaping the market's future. Specific regional growth will be influenced by factors like infrastructure development budgets, government policies, and the rate of urbanization. Overall, the FMVMS market presents a promising opportunity for industry players who can adapt to evolving technological advancements and meet the diverse needs of various applications. Successful players will likely be those that can offer comprehensive solutions, including design, installation, and maintenance services.

Outdoor LED Matrix Displays Market Outlook

As of 2023, the global outdoor LED matrix displays market size was valued at approximately USD 6.2 billion and is projected to reach USD 10.1 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.4% during the forecast period. This market is anticipated to witness substantial growth due to advancements in technology, increased demand for outdoor advertising, and the widespread adoption of digital signage solutions.

One of the key growth factors driving the outdoor LED matrix displays market is the rapid increase in digital advertising expenditure. Companies are increasingly shifting from traditional advertising mediums to digital ones due to their higher efficiency and capability to engage a broader audience. Outdoor LED matrix displays, with their vibrant visuals and dynamic content, offer a compelling platform for advertisers to capture consumer attention. Moreover, technological advancements in LED technology have resulted in displays that are more energy-efficient, durable, and capable of producing higher quality images, further boosting their adoption in the advertising sector.

Another significant growth factor is the rising demand for live event broadcasting and entertainment applications. LED matrix displays are extensively utilized in stadiums, concert venues, and public events to provide real-time information and dynamic visual content to large audiences. The increasing number of live sports events, concerts, and cultural festivals worldwide is driving the need for high-quality display solutions. Additionally, the growing adoption of smart city initiatives, which incorporate advanced display technologies for public information dissemination and urban beautification, is also contributing to market growth.

The transportation sector is also a considerable contributor to the growth of the outdoor LED matrix displays market. Transportation authorities are increasingly deploying LED matrix displays for real-time passenger information systems, traffic management, and safety messaging. These displays provide clear, bright, and easily readable information even in adverse weather conditions, enhancing the overall efficiency of transportation networks. The continuous development of infrastructure projects, particularly in emerging economies, is expected to further fuel the demand for outdoor LED displays in this segment.

From a regional perspective, the Asia Pacific region is expected to dominate the outdoor LED matrix displays market during the forecast period. The rapid urbanization, infrastructural development, and increasing investments in smart city projects in countries like China, India, and Japan are key factors contributing to the market's growth in this region. North America and Europe are also significant markets, driven by the high adoption rates of digital signage and robust technological infrastructure. However, regions such as Latin America and the Middle East & Africa are expected to exhibit substantial growth potential, owing to the ongoing development efforts and increasing urbanization rates.

The integration of LED Display Sending Card technology plays a pivotal role in enhancing the functionality and performance of outdoor LED matrix displays. These sending cards are crucial for processing and transmitting video signals to the display panels, ensuring seamless and high-quality visual output. By optimizing data transmission, LED Display Sending Cards help reduce latency and improve synchronization across multiple display modules. This technology is particularly beneficial in large-scale installations where precise and reliable signal processing is essential. As the demand for more sophisticated and dynamic display solutions grows, the role of sending cards becomes increasingly important in delivering superior visual experiences.

Type Analysis

Monochrome LED matrix displays are primarily used in applications where simple, single-color text or graphics are sufficient. These displays are typically employed in environments that require clear visibility of basic information, such as traffic signs, information boards, and certain types of safety and warning systems. The cost-effectiveness and lower power consumption of monochrome displays make them an attractive option for such applications. Despite their limited color range, advancements in LED technology have significantly improved the brightness and lifespan of these displays, making them suitable for var

The Calgary Equity Index is a decision-making tool designed to measure equity in Calgary, based on a social determinant of health (SDOH) framework. The SDOH are the range of interacting social and economic conditions that influence people’s health and well-being. This index provides an equity lens to examine the ways in which social and economic conditions are experienced and distributed among populations. It will help the City examine where inequities exist in different areas. Information is available for 113 Community Service Areas (CSAs) across Calgary. The CSAs were created by combining two adjacent Census Tracts to reach a population of around 10,000. The CSAs are numbered from 1 to 113, and are displayed on the map.

This entity describes the impact of Urbanisation on the River Environment by calculating the Silt In Matrix, which is often referred to as Substrate Embeddedness Impact factor. It is derived from surveyed Inorganic Substrate data using raster GIS. Values over 50% are considered impacted.It is spatially abstracted to a line.Entity type: Concept

Tempe’s roadways are an important means of transportation for residents, the workforce, students, and visitors. Tempe measures the quality and condition of its roadways using a Pavement Quality Index (PQI). This measure, rated from a low of 0 to a high of 100, is used by the City to plan for maintenance and repairs, and to allocate resources in the most efficient way possible.This measure is created using pavement quality data maintained in the RoadMatrix Pavement Management Program. About every three years, the City surveys pavement, such as the smoothness of roadways and any signs of distress in the pavement surface. This data is then used to calculate the PQI, which determines roadway maintenance prioritization schedules as well as the most optimal road treatment options (such as placing a filler material in the cracks and treating the entire pavement surface, milling and replacing the top layer of the asphalt pavement, reconstructing the street section)This page provides data for the performance measure related to PQI. To access geospatial data regarding PQI please visit https://data.tempe.gov/dataset/pavement-quality-index-segmentsThe performance measure dashboard is available at 1.22 Pavement Quality IndexThis dataset provides PQI for individual road segments.The City of Tempe’s Asset Management Capital Maintenance Program oversees and distributes funds for the upkeep of infrastructure such as streets, sidewalks, curbs and gutters. Roadway network conditions are evaluated by assigned a value using the Pavement Quality Index or PQI. Calculated on a scale ranging from 0 (worst) to 100 (best), the PQI is an indication of the condition of the pavement structure.Additional InformationSource: Stantec/Road MatrixContact (author): Isaac ChaviraContact E-Mail (author): isaac_chavira@tempe.govContact (maintainer): Sue TaaffeContact E-Mail (maintainer): sue_taaffe@tempe.govData Source Type: CSVPreparation Method: Extracted from Roadmatrix and joined to GIS networkPublish Frequency: Annual (Average PQI)/Quarterly (Segment PQI)Publish Method: ManualData Dictionary

(1) The dataset is the real OD travel matrix from communities to tertiary hospitals created according to the Didi travel trajectory data in Chengdu city. (2) The dataset is ArcGIS file, shapefile format.

The information layer describes the perimeter of the Matrix Center of the Municipality of Assemini

Matrix C—Intercity migration willingness index of city clusters of Shandong Peninsula during the New Year’s Day holiday in 2022.

Matrix F—Intercity actual migration index of city clusters of Shandong Peninsula during the May Day holiday in 2022.

Judgment matrix of availability dimension to provide family planning service in Gondar city administrative public health facilities, Northwest Ethiopia, 2020.

Impact comparison matrix.

Correlation matrix of daily incidence rates in all city pairs in 1998–2009.

Judgment matrix of personal dimension affecting the employment of college students in Xiangtan City.

The COVID-19 had a huge impact on the transportation industry. In the post-epidemic stage, intercity transportation will face great challenges as places are unsealed, tourism and other service industries begin to recover, and residents’ travel demand gradually increases. An in-depth study of residents’ intercity travel behavior during holidays in the post-epidemic era will help restore public trust in public transportation and improve the quality of public transportation services. Based on traditional research on ways of travelling, the study adopted the Complex Network Analysis Theory. The city clusters of Shandong Peninsula were taken as the research region. The research studied the impact of the differences in regional attributes of the cities in Shandong Peninsula on residents’ intercity travel in the post-epidemic times. A dynamic evolution model of how residents choose to travel was built to simulate the changes to their ways of traveling in the post-epidemic era under two conditions, which are: traveling under the government’s supervision of intercity travel and traveling under the government’s optimization of intercity travel conditions. The conclusions drawn from the analyses of Complex Network Theory and Evolutionary Game Theory are as follows. First, in the holiday intercity travel in the post-epidemic times, the neighboring cities of Shandong Peninsula are closely connected, thus traveling between neighboring cities dominates intercity travel. Second, the travel network concentration of residents on long-term holidays is lower than that on short-term holidays, and the migration intensity of residents is higher than that on short-term holidays, while the willingness of residents’ migration on short-term holidays is higher than that on long-term holidays. The willingness to migrate on holidays is generally lower than that before the epidemic. Third, in a normal intercity travel network, the travel between two cities with medium and long distances is mainly by public transport. However, the dominance of public transport will be affected under the impact of the epidemic. In short-distance travel between two cities, private transport is in an advantageous position, and under the impact of the epidemic, this advantage will become more significant. The government can improve the position of public transport in short-distance travel by making optimizations.

Green development is the necessary path and fundamental way for urban development. Exploring the influence mechanism and spatial effect of green development on the urban human settlement resilience is conducive to promoting high-quality and sustainable urban development. We used the entropy method, super-efficient SBM model, spatial econometric model and threshold model to analyze the spatial spillover effect of green development efficiency on urban human settlement resilience and its nonlinear impact in the Yangtze River Delta(YRD) urban agglomeration. The results indicated that During the study period, the level of green development efficiency and urban settlement resilience was on the rise, and the spatial differences between different regions was significant. The green development efficiency of each city in the YRD urban agglomeration has a significant contribution to urban human settlement resilience in the region, but has a negative spatial effect on the level of urban human settlement resilience in the neighboring region. At different population density levels, the effect of green development efficiency on urban human settlement resilience shows a significant "V" non-linear characteristic. Furthermore, the influence of green development efficiency on urban human settlement resilience increases in a stepwise manner under different industrial structure distribution. The results of this study can help provide a reference basis for the creation of high-level, high-quality green and livable resilient cities in the YRD urban agglomeration under the concept of green development, and provide relevant experience for the construction of livable cities in other regions of China.

Current mobility trend indicates that the number of private cars will decline in the near future. One of the reasons for this trend is the development of Mobility as a Service (MaaS), which in conjunction with information and communication technologies (ICT) drive the application of transport services in smart city, respond to environmental issues, and provide users with reliable mobility. Electric vehicle sharing (EVS) travel has been regarded as a feasible mainstream model of sustainable mobility services in the future, which can effectively improve the utilization rate of motor vehicles, solve the problems of traffic congestion, environmental pollution and urban land, and promote low-carbon and sustainable development. To help electric vehicle operators improve service quality, the establishment of EVS program service performance evaluation is an urgent problem to be solved. Based on this, this paper firstly constructs the evaluation index system from 5 aspects: electric vehicle, charge station, user experience, payment and intelligent services through literature review and Delphi method. Secondly, the criteria importance though intercriteria correlation (CRITIC) and the improved G1 method are introduced to overcome the shortcomings of the single method, and the combined weights are calculated by the multiplication normalization method. Finally, a decision model based on intuitionistic fuzzy soft set (IFSS)-prospect theory and VIse Kriterijumski Optimizacioni Racun (VIKOR) method is constructed to select the best service performance of EVS program, and its feasibility and effectiveness are verified by sensitivity analysis and comparative analysis. The result shows that EVCARD is the best performing EVS program, and shared electric vehicle and charge station are the key factors to be considered in the selection. This study provides scientific and feasible guidance for the optimal service performance selection of EVS programs, which is of great significance for users to choose EVS programs.

Weighted decision-making matrix.