Towards a Micro-Contribution Platform That Meshes with Urban Activities

2014 ◽  
pp. 43-47
Author(s):  
Shin’ichi Konomi ◽  
Wataru Ohno ◽  
Kenta Shoji ◽  
Tomoyo Sasao
Keyword(s):  
Urban Activities

The Canal de la Viga. Mobility and urban activities

2012 ◽  
pp. 147-162
Author(s):  
María del Carmen Bernárdez de la Granja ◽  
Keyword(s):  
Urban Activities

Unele aspecte metodologice de studiu a biodiversitatii si productivitatii fitocenozelor din cadrul ecosistemelor urbane

2019 ◽  
Author(s):  
Constantin Bulimaga ◽  
◽  
Anastasia Portarescu ◽  
Keyword(s):  
Riparian Vegetation ◽  
Anthropogenic Activities ◽  
Natural Ecosystems ◽  
Impact Action ◽  
Productive Potential ◽  
Study Methodology ◽  
Biodiversity Study ◽  
The Impact ◽  
The City ◽  
Urban Activities

Anthropogenic activities cause damage to the natural ecosystems in the city in various ways, which contributes to the reduction of biodiversity. Considering that biodiversity is becoming more vulnerable to the impact action triggered by urban activities is necessary to monitor it in order to take urgent measures to protect and preserve it. The plant biodiversity study methodology includes methods that help determine phytocenosis parameters and assess biomass in order to estimate the productive potential of phytocenosis. Carrying out the research according to the proposed methodology will make it possible to assess the anthropogenic impact on the terrestrial and riparian vegetation.

scholarly journals A study about the sustainable challenges of extended areas in Taiwan and lessons for Ho Chi Minh, Dong Nai and Binh Duong regions

2020 ◽  
pp. 413-421
Keyword(s):  
Economic Growth ◽  
Social Policy ◽  
Urban Development ◽  
Policy Change ◽  
Global Economy ◽  
Urban Expansion ◽  
Urban Spaces ◽  
Rural And Urban ◽  
Agricultural Regions ◽  
Urban Activities

This paper examines the main challenges of the processes of space and social policy change present to current urbanization trends of Taiwan. The chapter argues that one of the main challenges is economic growth, increasing integration into the global economy and making Taiwan competitive in the global economy. This process leads to the growth of large urban regions that present many challenges to the urban development in the future. In particular, the paper focuses on the most fragile areas of the extended urban spaces are the rural and urban margins, where urban activities are expanding into densely populated agricultural regions. It is argued that in these areas, local policies should be developed that adapt to local ecosystems. The paper presents lessons of interventions in this field for Ho Chi Minh, Dong Nai and Binh Duong Region for urban expansion.

Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN

2020 ◽  
Vol 9 (2) ◽  
pp. 137 ◽  
Author(s):  
Muhammad Rizwan ◽  
Wanggen Wan ◽  
Luc Gwiazdzinski
Keyword(s):  
Social Media ◽  
Movement Patterns ◽  
District Level ◽  
Smart Devices ◽  
Daily Routine ◽  
Space And Time ◽  
Directional Analysis ◽  
Wide Range ◽  
And Behavior ◽  
Urban Activities

Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs. In a LBSN, users socialize by sharing their location (also referred to as “geolocation”) in the form of a tweet (also referred to as a “check-in”), which contains information in the form of, but is not limited to, text, audio, video, etc., which records the visited place, movement patterns, and activities performed (e.g., eating, living, working, or leisure). Understanding the user’s activities and behavior in space and time using LBSN datasets can be achieved by archiving the daily activities, movement patterns, and social media behavior patterns, thus representing the user’s daily routine. The current research observing and analyzing urban activities behavior was often supported by the volunteered sharing of geolocation and the activity performed in space and time. The objective of this research was to observe the spatiotemporal and directional trends and the distribution differences of urban activities at the city and district levels using LBSN data. The density was estimated, and the spatiotemporal trend of activities was observed, using kernel density estimation (KDE); for spatial regression analysis, geographically weighted regression (GWR) analysis was used to observe the relationship between different activities in the study area. Finally, for the directional analysis, to observe the principle orientation and direction, and the spatiotemporal movement and extension trends, a standard deviational ellipse (SDE) analysis was used. The results of the study show that women were more inclined to use social media compared with men. However, the activities of male users were different during weekdays and weekends compared to those of female users. The results of the directional analysis at the district level reflect the change in the trajectory and spatiotemporal dynamics of activities. The directional analysis at the district level reveals its fine spatial structure in comparison to the whole city level. Therefore, LBSN can be considered as a supplementary and reliable source of social media big data for observing urban activities and behavior within a city in space and time.

Educational Geostimulation

2011 ◽  
pp. 3321-3338
Author(s):  
Vasco Furtado ◽  
Eurico Vasconcelos
Keyword(s):  
Police Officers ◽  
Urban Environments ◽  
Pedagogical Tools ◽  
Tutoring Systems ◽  
Agent Based ◽  
Training Tool ◽  
Multi Agent ◽  
The Relationship ◽  
Urban Activities

In this work we will describe EGA (educational geosimulation architecture), an architecture for the development of pedagogical tools for training in urban activities based on MABS (multi-agent based simulation), GIS (geographic information systems), and ITS (intelligent tutoring systems). EGA came as a proposal for the lack of appropriate tools for the training of urban activities with high risk and/or high cost. As a case study, EGA was used for the development of a training tool for the area of public safety, the ExpertCop system. ExpertCop is a geosimulator of criminal dynamics in urban environments that aims to train police officers in the activity of preventive policing allocation. ExpertCop intends to induce students to reflect about their actions regarding resources allocation and to understand the relationship between preventive policing and crime.

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