43 resultados para Pedestrian malls.

em Deakin Research Online - Australia


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Market Square was a public reserve located in the centre of the Victorian regional city of Geelong. It was established by Governor Sir George Gipps during the initial surveying of the area in 1838. The square later became a produce market, before being progressively built upon for public and commercial purposes. Today, the modern Market Square Shopping Centre occupies a substantial portion of the original site. Opened in 1985 by the City of Geelong, the complex initially drew high rental incomes for the Council. However, by the early 1990s revenue began to decline after the collapse of the Pyramid Building Society and competition from the new Bay City Plaza shopping centre (now Westfield) that was built directly opposite. In 1993 the city council decided to sell the complex. Today it remains privately owned and while it adjoins the Little Malop Street Mall which was also part of the original public square, its connection with the surrounding urban environment is poor. The introverted architectural nature of Geelong’s two large retail shopping complexes has significantly altered the city’s spatial dynamic. The traditional intimate urban structure and streetscape has been fragmented. This has led to a deterioration of the city’s social cohesion, sense of place and economic prosperity. This paper chronicles the myriad errors of judgement by the institution of local government that have contributed to this situation. Heeding past mistakes, it explores ways in which the Council might work with private landowners to improve the permeability of the city’s public urban spaces and internalised retail centres for improved use, integration, functionality and resilience. Achieving a shared culture of concern for the city’s urban fabric presents some significant challenges. How might ‘big box’ shopping centres be reconsidered to make a positive contribution to the city’s urban spatial network while remaining commercially viable? The built environment has an important role to play in addressing the problem by presenting opportunities for these new urban institutions to also benefit from stronger connections between the public and private realm.

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The following paper discusses the impact of suburban life for adolescents in relation to public transport and pedestrian access. The research compares the morphology and level of connectivity of two planning models, cul-de-sac and regular grid, with respect to two suburbs which share a similar socio-economic profile, Rowville and Caulfield. These are subsequently evaluated in terms of ABS statistics, in particular year 12 or equivalent levels of education, and transport statistics. The results of the investigation are discussed in reference to the four key tasks of adolescence (Carr-Greg & Shale 2002)', in order to establish the degree to which morphology and access levels of suburbs impact on adolescent development.

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We present a comparative evaluation of the state-of-art algorithms for detecting pedestrians in low frame rate and low resolution footage acquired by mobile sensors. Four approaches are compared: a) The Histogram of Oriented Gradient (HoG) approach [1]; b) A new histogram feature that is formed by the weighted sum of both the gradient magnitude and the filter responses from a set of elongated Gaussian filters [2] corresponding to the quantised orientation, called Histogram of Oriented Gradient Banks (HoGB) approach; c) The codebook based HoG feature with branch-and-bound (efficient subwindow search) algorithm [3] and; d) The codebook based HoGB approach. Results show that the HoG based detector achieves the highest performance in terms of the true positive detection, the HoGB approach has the lowest false positives whilst maintaining a comparable true positive rate to the HoG, and the codebook approaches allow computationally efficient detection.

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In this paper, we present a system for pedestrian detection involving scenes captured by mobile bus surveillance cameras in busy city streets. Our approach integrates scene localization, foreground and background separation, and pedestrian detection modules into a unified detection framework. The scene localization module performs a two stage clustering of the video data. In the first stage, SIFT Homography is applied to cluster frames in terms of their structural similarities and second stage further clusters these aligned frames in terms of lighting. This produces clusters of images which are differential in viewpoint and lighting. A kernel density estimation (KDE) method for colour and gradient foreground-background separation are then used to construct background model for each image cluster which is subsequently used to detect all foreground pixels. Finally, using a hierarchical template matching approach, pedestrians can be identified. We have tested our system on a set of real bus video datasets and the experimental results verify that our system works well in practice.

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Pedestrian steering activity is a perception-based decision making process that involves interaction with the surrounding environment and insight into environmental stimuli. There are many stimuli within the environment that influence pedestrian wayfinding behaviour during walking activities. However, compelling factors such as individual physical and psychological characteristics and trip intention cause the behaviour become a very fuzzy concept. In this paper pedestrian steering behaviour is modelled using a fuzzy logic approach. The objective of this research is to simulate pedestrian walking paths in indoor public environments during normal and non-panic situations. The proposed algorithm introduces a fuzzy logic framework to predict the impact of perceived attractive and repulsive stimuli, within the pedestrian's field of view, on movement direction. Environmental stimuli are quantified using the social force method. The algorithm is implemented in a simulated area of an office corridor consist of a printer and exit door. Stochastic simulation using the proposed fuzzy algorithm generated realistic walking trajectories, contour map of dynamic change of environmental effects in each step of movement and high flow areas in the corridor.

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This project explores the ways that creative practices—improvised movement, choreographed dance, and digital video—produce new knowledge about the sociability of public space. In other words, it uses various theoretical concepts and practical strategies to document and analyse the ways people inhabit and sometimes subvert public spaces — such as plazas, malls and piazzas — as part of their everyday experience. Drawing on concepts developed within the fields of performance theory, spatial history, cultural geography and social theory, the project will build a methodological toolbox for understanding the relationships between the diverse groups that use public spaces in Melbourne, Australia. This ‘toolbox’ will subsequently be used to understand analogous public spaces in other parts of the world to generate comparative data about spatial sociability. The research will enable an innovative way of mapping social, civic and political relations in space through a series of creative interventions, and will reveal the politics of everyday movement while exposing tensions between the spaces of public culture — those framed and legitimated by state institutions — and what Michael Warner calls ‘Counter-Publics.’ That is, those oppositional groups who actively seek to use public space in subversive or unauthorised ways.

This project documents a series of performative interventions designed to harness the untapped potential of various forms of street performance genres to function as tools that can produce new ways of understanding the politics of movement in public space. These ‘interventions’ will be generated through a series of practical performance and movement workshops that will draw on street theatre techniques, contact improvisation, Laban movement analysis and contemporary dance choreography. The project will focus on a series of dyadic relationships: self and other, inside and outside, centre and periphery that are relevant to human interaction in public space.
Street performers — musicians, acrobats, jugglers, magicians, mimes and so on — seek public spaces with high volumes of pedestrian traffic in order to maximise their ability to draw an audience and make a living. These performers who create temporary performance zones alter the flow and intensity of movement around them, thereby transforming the plazas, piazzas, town squares and subways favoured by buskers. Some of these performers interact with their audience more than others, and are potentially capable of telling us something about the politics of space. The practice of ‘shadowing’ the movements of passers-by is an increasingly popular form of public entertainment around the world.

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Prediction of pedestrians’ steering behaviours within the built environments under normal and non-panic situations is useful for a wide range of applications, which include social science, psychology, architecture, and computer graphics. The main focus is on prediction of the pedestrian walking paths and the influences from the surrounding environment from the engineering point of view.

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A study on the pedestrian's steering behaviour through a built environment in normal circumstances is presented in this paper. The study focuses on the relationship between the environment and the pedestrian's walking trajectory. Owing to the ambiguity and vagueness of the relationship between the pedestrians and the surrounding environment, a genetic fuzzy system is proposed for modelling and simulation of the pedestrian's walking trajectory confronting the environmental stimuli. We apply the genetic algorithm to search for the optimum membership function parameters of the fuzzy model. The proposed system receives the pedestrian's perceived stimuli from the environment as the inputs, and provides the angular change of direction in each step as the output. The environmental stimuli are quantified using the Helbing social force model. Attractive and repulsive forces within the environment represent various environmental stimuli that influence the pedestrian's walking trajectory at each point of the space. To evaluate the effectiveness of the proposed model, three experiments are conducted. The first experimental results are validated against real walking trajectories of participants within a corridor. The second and third experimental results are validated against simulated walking trajectories collected from the AnyLogic® software. Analysis and statistical measurement of the results indicate that the genetic fuzzy system with optimised membership functions produces more accurate and stable prediction of heterogeneous pedestrians' walking trajectories than those from the original fuzzy model. © 2014 Elsevier B.V. All rights reserved.

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Through a naturalistic inquiry, we interpret shopping malls in India as post-colonial sites in which young consumers deploy the West in an attempt to transform their Third World identities. Shopping malls in former colonies represent a post-colonial hybridity that offers consumers the illusion of being Western, modern, and developed. Moreover, consumption of post-colonial retail arenas is characterised as a masquerade through which young consumers attempt to disguise or temporarily transcend their Third World realities. This interpretation helps us to offer insights into transitioning retail servicescapes of the Third World, which in turn helps to improve extant understanding of consumer identity and global consumer culture.

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Melbourne is the second largest city in Australia, and its population is anticipated to reach 6.5 million by 2050. In October 2013, Plan Melbourne was released by Victorian government, aiming to intensify several districts to protect the suburbs from urban sprawl. The City of Melbourne’s draft municipal strategic statement identified City North as a great urban renewal area which can accommodate a significant part of the growth. Given the previous heat-related incidence in Melbourne in 2009, the potential threat to human health and pedestrian comfort will be exacerbated, if planning professionals exclude climatic conscious urban design in their practices. Therefore, this study aims to investigate the effect of the future structural plans on the microclimate and pedestrian thermal comfort in City North through numerical simulations. A three dimensional numerical modelling system, ENVI-met was used for the simulation. Field measurements were conducted across the study area to validate the simulated outputs. A clear reduction was reported in the average daytime mean radiant temperature, surface temperature and PMV values after implementing “Plan Melbourne” strategies. The outcomes of this study will assist urban planners in developing the policies which can effectively decrease the vulnerability to the heat stress at pedestrian level.

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The number of hot days is increasing in many parts of the world because of the heat island phenomenon and global climate change. High air temperature greatly affects human thermal comfort and public health, particularly in urban areas. Therefore, the challenging task of, urban designers and urban planners in accommodating the increasing population is to make cities with the least level of vulnerability to future climate change. Interest in transferring urban climatic knowledge into urban planning practices, and developing mitigation strategies to adapt to climate change, has been increased in recent years. The use of vegetation and appropriate urban geometry are shown very promising in mitigating the adverse effects of heat island and providing a better pedestrian thermal comfort. This article reviews studies on pedestrian level urban greening and geometry in improving thermal comfort in cities. Such strategies can be applied at the preliminary stages of urban planning and thus directly affect the microclimate. The analyzed data include simulation and field measurement studies. The discussion of this research clearly reflects how urban design guidelines can be applied to enhance outdoor thermal comfort and minimize the heat island effect. This study is helpful in controlling the consequences of city design from the early design stage.

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Pedestrians movements have a major impact on the dynamics of cities and provide valuable guidance to city planners. In this paper we model the normal behaviours of pedestrian flows and detect anomalous events from pedestrian counting data of the City of Melbourne. Since the data spans an extended period, and pedestrian activities can change intermittently (e.g., activities in winter vs. summer), we applied an Ensemble Switching Model, which is a dynamic anomaly detection technique that can accommodate systems that switch between different states. The results are compared with those produced by a static clustering model (Hy-CARCE) and also cross-validated with known events. We found that the results from the Ensemble Switching Model are valid and more accurate than HyCARCE.

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Man made alterations have resulted in higher air temperatures in cities, compared to their surrounding rural areas. There are many attempts to modify the urban design elements to ameliorate urban heat island effect. One among them is the concept of green roofs. There is a potential to incorporate vegetation to the large roof area of the buildings. Several studies investigated the effect of micro and macro scale implementation of green roofs. Most of these studies examined the impact of green roofs on the air temperature variation at the roof level, whereas studies are lacking on the effect of green roof at the pedestrian level. Therefore, this study aims to explore the impact of green roofs on the air temperature at pedestrian level, in the central business district (CBD), using Melbourne as a case study. A generic layout of Melbourne's CBD is modelled using ENVI-met 3.1 BETA 4. A number of different scenarios with different green roof coverages and building heights are examined. It was found that green roofs did not have significant impact on the temperatures at pedestrian level.

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An important challenge for brick-and-mortar retail businesses is how to monitor the interest of customers in displays and products in a store. We investigate the effectiveness of the Microsoft Kinect as a sensor to monitor the behaviour of pedestrians, which may reflect their interest in a store display or advertisement. In a controlled environment, participants acting as pedestrians are requested to show different levels of interest as they pass an object that is being monitored by a Kinect sensor. The sensor collected measurements such as the positions and orientation of the pedestrian's body and head, which were analysed to detect the movements of the pedestrians and thus infer the behaviour they exhibited. Our results demonstrate that when the Kinect is able to detect a behaviour that indicates a pedestrian's interest in an object, then the classification of the level of interest in terms of the type of behaviour is reasonably accurate under varying light conditions and numbers of pedestrians.

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As has occurred in many smaller rural communities in America, Europe and Canada much of inland Australia has experienced population decline involving both a net loss of people a disproportionate ageing of the population and low average family incomes. Some Australian country towns have ceased to function as retail and administrative centres while other rural areas are faced with the prospect of losing critically important retail outlets and service providers. Australian rural towns are under threat from residents outshopping at nearby large regional centres leading to the loss of businesses and services in small service towns. This paper explores the possibility of how and why retailers and service providers in Australian country towns can and should emulate certain attributes of shopping malls in an attempt to stem the rise of outshopping. Using data collected in one small Australian rural community the paper comments on residents' perceptions of the strengths and weaknesses of retailing and the provision of services in their local community and what respondents thought should be done to diminish retail leakage from their town. Based on their responses it is clear that to remain competitive, retailers in smaller rural towns need to learn from the experience of shopping malls with whom they must now compete to survive. In this paper, it is argued that in certain areas this is not only possible, but essential if retailing is to remain viable in Australian country towns.