The effects of space configuration in pedestrian behavior and the life of public spaces

City life conceptualizations becomes a key role in the planning of the cities because it is now realized how people are an important aspect for achieving more lively, safe, sustainable and healthy cities, (Gehl, 2010). Deep understanding of what people need for space is necessary to create urban places where social life can be stimulated. In this paper we will examine space affordances and pedestrian behavior in several plazas of Lisbon city. Through descriptive analyses and quantification it would be discussed how space layout can contribute to the urban life. Moreover, it would be analyzed how the design of the plazas can support not only the formal, but also the informal processes that make a place. The research combines the configuracional analysis with the study of social patterns in order to understand how physical structures influence human behavior. Space Syntax techniques will be used to describe and analyze spatial configurations in relation to social patterns, (Hillier and Hanson, 1984). The model involves a nonmetric understanding of space and suggests that the presence of pedestrian in a network can be explained by topology. At the same time, direct observation of pedestrian behavior was attempted to quantifiably isolate what elements of the space made it effective or, conversely, ineffective (Whyte, 1980). The aim of this paper is to understand the underlying behavior and spatial patterns responsible for the creation of successful public spaces. Exploring the nature of the relationship between spatial patterns, spatial life and social life, the study seeks to find regularities of public embodied space that can be qualified and quantified in an analytical and systematic way. The results suggest how designers and policymakers can manipulate space in order to contribute to the urban life and socialization of the city.info:eu-repo/semantics/acceptedVersio

A SAURON study of dwarf elliptical galaxies in the Virgo Cluster

Dwarf elliptical galaxies are the most common galaxy type in nearby galaxy clusters, yet they remain relatively poorly studied objects and many of their basic properties have yet to be quantified. In this contribution we present the preliminary results of a study of 4 Virgo and 1 field galaxy obtained with the SAURON integral field unit on the William Herschel Telescope (La Palma). While traditional long-slit observations are likely to miss more complicated kinematic features, with SAURON we are able to study both kinematics and stellar populations in two dimensions, obtaining a much more detailed view of the mass distribution and star formation histories.Comment: 2 pages, 1 figure; to appear in the proceedings of the conference "A Universe of dwarf galaxies" (Lyon, June 14-18, 2010

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking

Data generation is a key issue in big data benchmarking that aims to generate application-specific data sets to meet the 4V requirements of big data. Specifically, big data generators need to generate scalable data (Volume) of different types (Variety) under controllable generation rates (Velocity) while keeping the important characteristics of raw data (Veracity). This gives rise to various new challenges about how we design generators efficiently and successfully. To date, most existing techniques can only generate limited types of data and support specific big data systems such as Hadoop. Hence we develop a tool, called Big Data Generator Suite (BDGS), to efficiently generate scalable big data while employing data models derived from real data to preserve data veracity. The effectiveness of BDGS is demonstrated by developing six data generators covering three representative data types (structured, semi-structured and unstructured) and three data sources (text, graph, and table data)