Roadside improvements for local roads and streets /

"HHI-23/10-86(4M500)QE"- P. [4] of cover.

Streets and Highways Code

Mode of access: Internet.

Agency as vulnerability:accounting for children's movement to the streets of Accra

This paper considers the agency of children moving to the streets of Accra, Ghana's capital city. A much used but largely unexamined concept, agency is nevertheless commonly deployed in childhood studies as a means to stress the capacity of children to choose to do things. In the literature on street and working children, and a cognate area of study concerned with children's independent migration, this has involved accounts of children's agency made meaningful by reference to theories of rational choice or to the normative force of childhood. It is our argument that both approaches leave unanswered important questions and to counter these omissions we draw upon the arguments of social realists and, in particular, the stress they place on vulnerability as the basis for human agency. We develop this argument further by reference to our research with street children. By drawing upon the children's accounts of leaving their households and heading for Accra's streets, it is our contention that these children do frame their departures as matters of individual choice and self-determination, and that in doing so they speak of a considerable capacity for action. Nevertheless, a deeper reading of their testimonies also points to the children's understandings of their own vulnerability. By examining what we see as their inability to be dependent upon family and kin, we stress the importance of the children's perceptions of their vulnerability, frailty and need as the basis for a fuller understanding of their agency in leaving their households. © 2013 The Author. The Sociological Review © 2013 The Editorial Board of The Sociological Review.

Activity streets as economic opportunity generators: Case study of the Langa Township, Cape Town, South Africa

The Republic of South Africa since the 1948 inception of Apartheid policies has experienced economic problems resulting from spatially dispersed growth. The election of President Mandela in 1994, however, eliminated the last forms of Apartheid as well as its discriminatory spatial, social, and economic policies, specially toward black Africans. In Cape Town, South Africa, several initiatives to restructure and to economically revitalize blighted and abandoned township communities, like Langa, have been instituted. One element of this strategy is the development of activity streets. The main questions asked in this study are whether activity streets are a feasible solution to the local economic problems left by the apartheid system and whether activity streets represent an economically sustainable approach to development. An analysis of a proposed activity street in Langa and its potential to generate jobs is undertaken. An Employment Generation Model used in this study shows that many of the businesses rely on the local purchasing power of the residents. Since the economic activities are mostly service oriented, a combination of manufacturing industries and institutionally implemented strategies within the township will have to be developed in order to generate sustainable employment. The result seem to indicate that, in Langa, the activity street depend very much on an increase in sales, pedestrian and vehicular traffic flow. ^

Design strategies for an artificial neural network based algorithm for automatic incident detection on major arterial streets

Traffic incidents are non-recurring events that can cause a temporary reduction in roadway capacity. They have been recognized as a major contributor to traffic congestion on our nation’s highway systems. To alleviate their impacts on capacity, automatic incident detection (AID) has been applied as an incident management strategy to reduce the total incident duration. AID relies on an algorithm to identify the occurrence of incidents by analyzing real-time traffic data collected from surveillance detectors. Significant research has been performed to develop AID algorithms for incident detection on freeways; however, similar research on major arterial streets remains largely at the initial stage of development and testing. This dissertation research aims to identify design strategies for the deployment of an Artificial Neural Network (ANN) based AID algorithm for major arterial streets. A section of the US-1 corridor in Miami-Dade County, Florida was coded in the CORSIM microscopic simulation model to generate data for both model calibration and validation. To better capture the relationship between the traffic data and the corresponding incident status, Discrete Wavelet Transform (DWT) and data normalization were applied to the simulated data. Multiple ANN models were then developed for different detector configurations, historical data usage, and the selection of traffic flow parameters. To assess the performance of different design alternatives, the model outputs were compared based on both detection rate (DR) and false alarm rate (FAR). The results show that the best models were able to achieve a high DR of between 90% and 95%, a mean time to detect (MTTD) of 55-85 seconds, and a FAR below 4%. The results also show that a detector configuration including only the mid-block and upstream detectors performs almost as well as one that also includes a downstream detector. In addition, DWT was found to be able to improve model performance, and the use of historical data from previous time cycles improved the detection rate. Speed was found to have the most significant impact on the detection rate, while volume was found to contribute the least. The results from this research provide useful insights on the design of AID for arterial street applications.

Design Strategies for an Artificial Neural Network Based Algorithm for Automatic Incident Detection on Major Arterial Streets

Traffic incidents are non-recurring events that can cause a temporary reduction in roadway capacity. They have been recognized as a major contributor to traffic congestion on our national highway systems. To alleviate their impacts on capacity, automatic incident detection (AID) has been applied as an incident management strategy to reduce the total incident duration. AID relies on an algorithm to identify the occurrence of incidents by analyzing real-time traffic data collected from surveillance detectors. Significant research has been performed to develop AID algorithms for incident detection on freeways; however, similar research on major arterial streets remains largely at the initial stage of development and testing. This dissertation research aims to identify design strategies for the deployment of an Artificial Neural Network (ANN) based AID algorithm for major arterial streets. A section of the US-1 corridor in Miami-Dade County, Florida was coded in the CORSIM microscopic simulation model to generate data for both model calibration and validation. To better capture the relationship between the traffic data and the corresponding incident status, Discrete Wavelet Transform (DWT) and data normalization were applied to the simulated data. Multiple ANN models were then developed for different detector configurations, historical data usage, and the selection of traffic flow parameters. To assess the performance of different design alternatives, the model outputs were compared based on both detection rate (DR) and false alarm rate (FAR). The results show that the best models were able to achieve a high DR of between 90% and 95%, a mean time to detect (MTTD) of 55-85 seconds, and a FAR below 4%. The results also show that a detector configuration including only the mid-block and upstream detectors performs almost as well as one that also includes a downstream detector. In addition, DWT was found to be able to improve model performance, and the use of historical data from previous time cycles improved the detection rate. Speed was found to have the most significant impact on the detection rate, while volume was found to contribute the least. The results from this research provide useful insights on the design of AID for arterial street applications.

Widow begs on streets

General note: Title and date provided by Bettye Lane.

Bag lady on the streets (Feminization of poverty)

General note: Title and date provided by Bettye Lane.

Al Pacino filming at Bleecker and Jones streets

General note: Title and date provided by Bettye Lane.

The Crisis in the UK's High Streets: can the evening and night-time economy help?

Changes in retailing over the last half century have had a detrimental effect on the UK’s local high streets. The recession of 2008-2012 exacerbated these trends leading to a high number of vacancies and neglected properties. The impact was sufficiently severe for the term ‘crisis’ to be used in connection with the British high street. In the academic and commercial reports generated by the recognition that the high street needed to adapt to changing circumstances, a view emerged that the leisure component of high street activity would gain in importance. This article reviews the relationship of the evening and nighttime economy to the high street and considers its potential in reinventing the vitality that is normally associated with these mixed-use urban corridors. The article argues that there is hope in the high street offering a different type of experience to the mainstream forms of entertainment that are consolidating in major town and city centres. It concludes by suggesting that for this to be successful, some public support is necessary.

Monsters Take to the Streets! Monstrous Street-Art as Pedagogy of Resistance to Post-Olympic Regeneration in Hackney Wick?

This chapter explores geographies of gentrification and resistance in relation to the monstrous through the lens of street-art in post-Olympic London. It takes as a geographic case study Hackney Wick, which has for a long time been a bastion of alternative and creative living due to cheap rents in large, ex-industrial warehouse spaces. The artistic sociality of the area is imbued within its landscape, as prolific street artists have adorned ex-industrial warehouses and canal-side walls with graffiti and murals. Since the announcement of the 2012 Olympic Games, the area has been a site of intense political and aesthetic contestation. The post-Olympic legacy means that the area has been earmarked for redevelopment, with current residents facing the possibility of joining thousands already displaced by the games. The anxiety of dispossession is reflected by monstrous characters and sinister disembodied teeth, eyes and fingers embedded within the landscape, painted by local artists. Using geographically sensitive mobile and visual methodology to document the landscape and artwork, the chapter analyses and interprets the monstrous themes using a range of theorists including Mikhail Bakhtin, Georges Bataille and Nick Land. I argue that monstrous street-art lays visible claim to public territory for aesthetic purposes at odds with the visions of redevelopers and the needs of capital. Whilst street-art and graffiti do not fit easily within frameworks of organized political resistance or collective social movements, they operate as a kind of epistemological transgression that triggers transformative affects in the viewer. This creates conditions for pedagogies of resistance to gentrification by expressing and mobilizing political affects such as anger and anxiety, raising awareness of geographical politics, and encouraging the viewer to question the status quo of the built environment.

Profile of Washington & Fayette streets, Georgetown, D.C. /

Washington Street profile covers 30th Street between Q and R streets N.W. Fayette Street profile covers 35th Street between Volta Place and Wisconsin Avenue N.W.

Plan submitted for the alteration of the streets and av. around the Capitol : consequent upon its extension /

Oriented with north to the right.