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To explore the landscape planning of the comprehensive sports stadium and the football field, the similarities and differences between the comprehensive sports stadium and the football field landscape design and the general park design were analyzed by GIS technology. Special factors were discussed in the design of the complex sports stadium and football field. The treatment methods and principles of these special factors were analyzed. The results showed that their characteristics were created while meeting the functional requirements of each space. The local history and cultural scene left a deep impression on the viewers. Therefore, the design of sports facilities is consistent with the overall landscape effect. During the transformation of the base, the relationship between the original landform protection and development of the base is emphasized. This provides information and assistance for the comprehensive sports stadium and football field landscape design.

Bandung city had constructed new facilities in urban areas or supplemented existing facilities to create a city branding of music-design-culinary. This paper aims to assess their potential as new tourist areas for urban. This study very little research explicitly to discuss new phenomena tourism from urban areas that raise the image of three branding concepts at once.

Qualitative research more emphasized meaning and process analysis. Data analysis was carried out by looking at the status of an urban community, an object and a set of conditions in the thought system or current cases. The supporting data analysis technique used in this research is spatial analysis overlay is one of the basic ways to create spatial relationships between music, design and culinary by processing the result SWOT analysis factor.

Three forms of brand imaging development can ultimately lift new changes in strengthening relationships for building a good image of the tourism city with visitors.

For developing a new branding that can be implemented, the actors necessary to identify and assess internal and external factors policy for further formulation development of tourism city strategy. These articles very few research to explore discuss new phenomena in urban tourism that raise the image of three branding concepts at once. The present work was a modest effort to fill this gap literature with uses a compilation of research findings separately from city branding in various cities used as a conceptual basis and a comparative analysis is then conducted of three schemes.

This study aimed to explore the spatial accessibility dynamics of urban parks and their driving forces from 1901 to 2010 in terms of the dynamic relationships between spatial morphology and road networks, taking Nanjing City as an example.

This study mapped and examined the spatiotemporal distribution of urban parks and road networks in four time points at Nanjing: the 1910s, 1930s, 1960s and 2010s, using the analysis methodology of spatial design network analysis, kernel density estimation and buffer analysis. Two approaches of spatial overlaying and data analysis were adopted to investigate the accessibility dynamics. The spatial overlaying compared the parks' layout and the road networks' core, subcore and noncore accessible areas; the data analysis clarified the average data on the city-wide and local scales of the road networks within the park buffer zone.

The analysis of the changing relationships between urban parks and the spatial morphology of road networks showed that the accessibility of urban parks has generally improved. This was influenced by six main factors: planning implementation, political policies, natural resources, historical heritage and cultural and economic levels.

The results provide a reference for achieving spatial equity, improving urban park accessibility and supporting sustainable urban park planning.

An increasing number of studies have explored the spatial accessibility of urban parks through the relationships between their spatial distribution and road networks. However, few studies have investigated the dynamic changes in accessibility over time. Discussing parks' accessibility over relatively long-time scales has practical, innovative and theoretical values; because it can reveal correlational laws and internal influences not apparent in short term and provide reference and implications for parks' spatial equity.

Lockheed Martin has been a premier builder and developer of manned aircraft and fighter jets since 1909. Since then, aircraft design has drastically evolved in many areas including the evolution of manual linkages to fly-by-wire systems, and mechanical gauges to glass cockpits. Lockheed Martin's knowledge of manned aircraft has produced a variety of Unmanned Aerial Vehicles (UAVs) based on size/wingspan, ranging from a micro-UAV (MicroStar) to a hand-launched UAV (Desert Hawk) and up to larger platforms such as the DarkStar. Their control systems vary anywhere between remotely piloted to fully autonomous systems. Remotely piloted control is equivalent to full human involvement with an operator controlling all the decisions of the aircraft. Similarly, fully autonomous operations describe a situation that has the human having minimal contact with the platform. Flight path control relies on a set of waypoints for the vehicle to fly through. This is the most common mode of UAV navigation, and GPS has made this form of navigation practical.

The purpose of this paper is to present a spatial decision support system (SDSS) to be used by the local authorities of a city in the planning and response phase of a disaster. The SDSS focuses on the management of public spaces as a resource to increase a vulnerable population’s accessibility to essential goods and services. Using a web-based platform, the SDSS would support data-driven decisions, especially for cases such as the COVID-19 pandemic which requires special care in quarantine situations (which imply walking access instead of by other means of transport).

This paper proposes a methodology to create a web-SDSS to manage public spaces in the planning and response phase of a disaster to increase the access to essential goods and services. Using a regular polygon grid, a city is partitioned into spatial units that aggregate spatial data from open and proprietary sources. The polygon grid is then used to compute accessibility, vulnerability and population density indicators using spatial analysis. Finally, a facility location problem is formulated and solved to provide decision-makers with an adaptive selection of public spaces given their indicators of choice.

The design and implementation of the methodology resulted in a granular representation of the city of Lima, Peru, in terms of population density, accessibility and vulnerability. Using these indicators, the SDSS was deployed as a web application that allowed decision-makers to explore different solutions to a facility location model within their districts, as well as visualizing the indicators computed for the hexagons that covered the district’s area. By performing tests with different local authorities, improvements were suggested to support a more general set of decisions and the key indicators to use in the SDSS were determined.

This paper, following the literature gap, is the first of its kind that presents an SDSS focused on increasing access to essential goods and services using public spaces and has had a successful response from local authorities with different backgrounds regarding the integration into their decision-making process.

This study aims to provide a novel method for sport places site selection, although instead of using decision-making methods, the focus is on analytic functions in geographic information systems (GIS).

Researchers today have combined site selection science to a large extent with GIS and different decision-making methods to provide methods with higher confidence coefficients, however, it seems that there is a long way left to the best result.

After making a study database including data related to uses and urban elements, sports places, population density in study territory and drawing map of the region, by exporting data to GIS environment this database was prepared to use as separate layers. In the next step, the final map was made by shared overlapping of layer resulted from combining determining factors in sport places site selection and a layer of the sphere of influence of sport places available.

As with other research studies done for site selection, the region determined as high value in the final map was wide, a method of minimizing the difference of maximum and minimum standard deviation of polygons was used to minimize these lands. This method made it possible to plan to construct multiple sport places in succession.

The World Health Organisation estimates that 92 per cent of the world’s population does not have access to clean air. The World Bank in 2013 estimated that only air pollution (AP) was responsible for a $225bn cost in lost productivity. The purpose of this paper is to contribute to the current scholarly debate on the value of Big Data for effective healthcare management. Its focus on cardiovascular disease (CVD) in developing countries, a major cause of disability and premature death and a subject of increasing research in recent years, makes this research particularly valuable.

In order to assess the effects of AP on CVD in developing countries, the city of Bangalore was selected as a case study. Bangalore is one of the fastest growing economies in India, representative of the rapidly growing cities in the developing world. Demographic, AP and CVD data sets covering more than 1m historic records were obtained from governmental organisations. The spatial analysis of such data sets allowed visualisation of the correlation between the demographics of the city, the levels of pollution and deaths caused by CVDs, thus informing decision making in several sectors and at different levels.

Although there is increasing concern in councils and other responsible governmental agencies, resources required to monitor and address the challenges of pollution are limited due to the high costs involved. This research shows that with developments in the domains of Big Data, Internet of Things and smart cities, opportunities to monitor pollution result in high volumes of data. Existing technologies for data analytics can empower decision makers and even the public with knowledge on pollution. This paper has demonstrated a methodological approach for the collection and visual representation of Big Data sets allowing for an understanding of the spread of CVDs across the city of Bangalore, enabling different stakeholders to query the data sets and reveal specific statistics of key hotspots where action is required.

This research has been conducted to demonstrate the value of Big Data in generating a strategic knowledge-driven decision-support system to provide focused and targeted interventions for environmental health management. This case study research is based on the use of a geographic information system for the visualisation of a Big Data set collected from Bangalore, a region in India seriously affected by pollution.

With the urbanization development in China, natural ecological environment and ecological environments in rural areas have been affected. Therefore, the characteristics and classification of rural greenway were analyzed on the basis of eco economic model theory, the resources of ecological, cultural, recreational and industrial greenway planning were evaluated, and the structure characteristics of rural greenway network are analyzed. A mathematical model of space superposition analysis is constructed. Taking SunYea town of Feixian county in Shandong as the object, starting from the green road network space, greenway system, service facilities, transfer system and identification system and other aspects, the construction of the rural greenway was carefully planned. Practice has proved that rural greenway planning research has improved the scientific nature of the allocation of resources, and has a certain exemplary role for the construction of rural greenway network in similar areas.