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Record W2792567410 · doi:10.7275/fabos.862

Urban greenways planning. A vision plan for Milan (Italy)

2010· article· en· W2792567410 on OpenAlexaboutno aff
Giulio Senes, Natalia Fumagalli, A. Toccolini

Bibliographic record

VenueScholarworks (University of Massachusetts Amherst) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Planning and Landscape Design
Canadian institutionsnot available
Fundersnot available
KeywordsPlan (archaeology)GeographyUrban planningCartographyEnvironmental planningArchaeologyEngineeringCivil engineering

Abstract

fetched live from OpenAlex

Greenways are “green infrastructure” to link people and places (Fabos, 1995) and can be planned at different scales (from national to municipal) and for multiple purposes, “including ecological, recreational, cultural, aesthetic” (Ahern, 1995), “to provide people with access to open spaces close to where they live” (President's Commission on Americans Outdoors, 1987), in order to “enhance both the environment and quality of life” (European Greenways Association, 2000). At the municipal scale, the urban greenways network can help to reshape the city, making it more livable; urban greenways represent “at once the parks for the 21st century and a part of the transportation infrastructure, providing for pleasant, efficient, healthful and environmentally-sound travel by foot, bicycle or skates” (New York City Department of City Planning, 1993). Turner (2006) reported the results of a research conducted in 2001 among the British local authorities, in which come out the different purpose of urban greenway planning: creating a coherent (green) network of public open spaces, creating a green transport network that confers a vital new use on public open spaces, contributing to the reintegration of planning for ‘town’ and ‘country’ in order to serve the needs of a new urban population seeking active recreation in the countryside. The most important benefits of greenways in urban areas are environmental protection, recreation, and alternative transportation. These benefits cannot be realized unless the greenway planners take a systematic approach to the delineation of greenway paths (Conine et al., 2004). Various methodologies for greenways planning that take into account the many factors in a cohesive manner have been developed for and successfully applied, such as those described in Flink and Searns (1993), Smith and Hellmund (1993), Fabos (1995), Tzolova (1995), Xiang (1996), Toccolini et al. (2004), Ribeiro and Barao (2006) and Toccolini et al. (2006). In the present study three significant experiences were analyzed more in depth: New York City (New York City Department of City Planning, 1993), Vancouver (City of Vancouver, 1995) and Brussels (Institut Bruxellois pour la Gestion de l’Environnement, 2001). There has always been a strong link between the city of New York and the Greenways; as a matter of fact it is right here where it was first conceived the first plan of the modern age concerning a network of urban greenways (in 1866, with the Parkways designed by Frederick Law Olmsted and Calvert Vaux). Over the years, the great metropolis has preserved this link and recently this link has led to a plan of Greenways for the city. The plan was proposed in 1993 by NYC Department of City Planning. The plan states that “greenways would be a system of bicycle-pedestrian pathways along natural and manmade linear spaces such as rail and highway rightsof- way, river corridors, waterfront spaces, parklands and, where necessary, city streets. They are at once the parks for the 21st century and a part of the transportation infrastructure, providing for pleasant, efficient, healthful and environmentally-sound travel by foot, bicycle or skates”. The plan concerns a system of about 570 km of greenways designed to create new opportunities from a recreational point of view, increase the mobility of cyclists and pedestrians and generally speaking was created to enhance the quality of life of NY citizens. The network of greenways brings advantages in many fields, such as citizens health, transportation, socializing development and recreational aspects. As a matter of fact, the plan for NY wants greenways to accomplish different tasks: ⎯ build new spaces that are easily reachable from home and work, through which it is possible to explore and appreciate the different metropolitan environments; ⎯ offer recreational advantages (sunbathing, staying outdoors, admiring the landscape, relax, getting in touch with nature, etc.); ⎯ improve people health (physical activities, outdoor sports); ⎯ provide an alternative, completion and integration with traditional means of transportation; ⎯ provide the possibility to decrease traffic and urban pollution; ⎯ build natural “buffer zones” to separate areas with different functions (residential areas, commercial areas, etc.); ⎯ represent a meeting place to socialize with other people.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0490.020

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.208
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2010
Admission routes1
Has abstractyes

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