Life in small urban spaces of “Sanskari Nagari – Vadodara”

This paper envisages the situation of social life in the city of, “Vadodara – Sanskari Nagari” during and post-pandemic. In the globalization hub of Western-India, the city Vadodara stands true to its name – “Sanskari Nagari”, which still celebrates its rich heritage and culture to its fullest. The social life of people in Vadodara is not only a part of their culture but also part of their routine, which can be perceived from the world’s largest “Garba-gathering”; to every day’s post office hour “Chai-meetup”; to relishing their free time playing “Ludo” by the sides of bridges across the city. With the presence of COVID-19, city people are hesitant about social gatherings and meeting people. Ultimately, life is resuming but at a slow pace and there is an urge to “reimagine” the public spaces and public behaviour so that city doesn’t lose its charm. Referring to the city assessment of William H. Whyte, the mentor of Street Life Project for Public Spaces, Pedestrian behaviour, and City Dynamics, through his book – “Social Life Of Small Urban Spaces,1980” forms the prelude for the research. This paper draws attention to similar spaces for the city of Vadodara as referred to in the book. We see what we do not expect to see, and get acquainted to see crowded spaces. Hence, this paper analyses the selected “Urban-blocks” and “Neighbourhood-spaces” of different typology and their diverse activities. Conclusion focus on the rational segregation and “re-defining” of Urban Spaces based on their safe carrying capacity.

Sustainable Transport System at the Federal University of Amazonas

The city mobility likewise the city dynamics might be influence the university space and how will be working the campus mobility. Some studies point out which herewith the cities' evolution, the universities have been developed the same mobility behavior as well as is influenced by the city model. Recently was investigate the constraints and how much it is possible to provide sustainable mobility at the campus. This issue will show the Federal University of Amazonas case. Nowadays, the university transport model is the same as the micro-city kinds, at the regional system have been some constraints in the service level as in the sustainability performance. On the other hand, Amazon's university performance is smoothing the sustainable impact and minimize the ecological footprint by the green area at the campus; it is the very important front of the climate change actions to hit the temperature global goals. This article is shown which is possible to improve sustainable mobility at the campus when is provides other mobility kinds and redesign the transport systems.

A Study of User Activity Patterns and the Effect of Venue Types on City Dynamics Using Location-Based Social Network Data

The main purpose of this research is to study the effect of various types of venues on the density distribution of residents and model check-in data from a Location-Based Social Network for the city of Shanghai, China by using combination of multiple temporal, spatial and visualization techniques by classifying users’ check-ins into different venue categories. This article investigates the use of Weibo for big data analysis and its efficiency in various categories instead of manually collected datasets, by exploring the relation between time, frequency, place and category of check-in based on location characteristics and their contributions. The data used in this research was acquired from a famous Chinese microblogs called Weibo, which was preprocessed to get the most significant and relevant attributes for the current study and transformed into Geographical Information Systems format, analyzed and, finally, presented with the help of graphs, tables and heat maps. The Kernel Density Estimation was used for spatial analysis. The venue categorization was based on nature of the physical locations within the city by comparing the name of venue extracted from Weibo dataset with the function such as education for schools or shopping for malls and so on. The results of usage patterns from hours to days, venue categories and frequency distribution into these categories as well as the density of check-in within the Shanghai and contribution of each venue category in its diversity are thoroughly demonstrated, uncovering interesting spatio-temporal patterns including frequency and density of users from different venues at different time intervals, and significance of using geo-data from Weibo to study human behavior in variety of studies like education, tourism and city dynamics based on location-based social networks. Our findings uncover various aspects of activity patterns in human behavior, the significance of venue classes and its effects in Shanghai, which can be applied in pattern analysis, recommendation systems and other interactive applications for these classes.

Geoinformation Assessment and Mapping of Dynamics of the Urbanized Territory of Ulan-Ude City

The article presents information about methods and technologies used in assessing the dynamics of urbanized territory, gives a brief description of them, and identifies advantages and disadvantages. The concept of geoinformation monitoring of an urbanized territory is formulated. To integrate heterogeneous and multiformat data and assess the dynamics of residential environmental management, a problem-oriented GIS for monitoring urbanized territories has been developed on the example of Ulan-Ude city (Republic of Buryatia). The functional structure of GIS, consisting of measuring, analytical and cartographic blocks, is presented, and the characteristics of each block are given. The planned basis of GIS is the topographic basis of three spatial levels: regional (1:200 000) for monitoring agglomerations and large cities; local (1:50 000, 1:100 000) to assess the dynamics of residential development of the territory; detailed (1:10 000, 1:25 000) to assess the dynamics of real estate and land plots. A digital terrain model is used as a high-altitude basis for the assessment of urbanized territories, which allows the assessment of morphometric parameters of the residential nature management system. The dynamics of the urbanized territory of Ulan-Ude was estimated using six time sections. The physical and geographical features of the urbanized territory development are determined, the map of the city dynamics for the entire period of residential development is compiled, and the forecast of the further development of the urbanized territory for background and local buildings is presented.

The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data

The Olympic Games have a huge impact on the cities where they are held, both during the actual celebration of the event, and before and after it. This study presents a new approach based on spatial analysis, GIS, and data coming from Location-Based Social Networks to model the spatiotemporal dimension of impacts associated with the Rio 2016 Olympic Games. Geolocalized data from Twitter are used to analyze the activity pattern of users from two different viewpoints. The first monitors the activity of Twitter users during the event—The arrival of visitors, where they came from, and the use which residents and tourists made of different areas of the city. The second assesses the spatiotemporal use of the city by Twitter users before the event, compared to the use during and after the event. The results not only reveal which spaces were the most used while the Games were being held but also changes in the urban dynamics after the Games. Both approaches can be used to assess the impacts of mega-events and to improve the management and allocation of urban resources such as transport and public services infrastructure.

The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data

Olympic Games have a huge impact on the cities where they are held, both during the actual celebration of the event and before and after it. This study presents a new approach based on spatial analysis, GIS, and data coming from Location Based Social Networks to model the spatiotemporal dimension of impacts associated with the Rio 2016 Olympic Games. Geolocalized data from Twitter are used to analyze the activity pattern of users from two different viewpoints. The first monitors the activity of Twitter users during the event -the arrival of visitors, where they came from, and the use resident and tourist made of different areas of the city. The second assesses the spatiotemporal use of the city by Twitter users before the event, compared to the use during and after the event. The results not only reveal which spaces were the most used while the Games were being held but also changes in the urban dynamics after the Games. Both approaches can be used to assess the impacts of mega-events and to improve the management and allocation of urban resources such as transport and public services infrastructure.