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Record W4379621189 · doi:10.1353/cye.2021.a848942

Slow Cities: Conquering Our Speed Addiction for Health and Sustainability by Paul Tranter Rodney Tolley (review)

2021· article· en· W4379621189 on OpenAlexaboutno aff
Carolyn Whitzman

Bibliographic record

VenueChildren Youth and Environments · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsAddictionSustainabilitySociologyPsychologyMedia studiesPsychiatryEcology

Abstract

fetched live from OpenAlex

Book Review: Slow Cities: Conquering Our Speed Addiction for Health… 202 Slow Cities: Conquering Our Speed Addiction for Health and Sustainability Paul Tranter and Rodney Tolley (2020) Amsterdam: Elsevier, 422 pages $106.25 (paperback), ISBN 9780128153161 Children and young people are attracted to speed. Toddlers run, pre-schoolers love trikes and scooters, school-aged children enjoy bikes and go-carts. But, as rushed parents know, children also love to stop, chat, and observe the world. Both human-powered speed and social lingering are incompatible with cars. In the regional Australian town of Bendigo, “50 children aged between 4 and 8 years old were given cameras and asked to take photographs during a week of their lives to illustrate places they went and activities they engaged in. Of the 50 children, at least half included a picture of driving in the back seat of the car” (Malone, 2007, p. 315). Rather than enjoying being in a “speedy” car, the children were trapped in one place. This paradox is one of the many explored in this excellent book, the sum of two lives’ work. Paul Tranter is an emeritus Associate Professor in Geography at the University of New South Wales in Canberra, where his research has focused on children’s wellbeing and transport planning. Rodney Tolley has researched and written on active transport for over 40 years, including acting as the Conference Director for Walk21, an annual conference for practioners and academics. The book itself is well balanced between research and practice, with a good emphasis on strategic action. Although most of the case studies are based in the Global North, there is an illustrative set of examples from Latin America, Asia, and Africa. The book focuses on planning, but includes literature from psychology, public health, geography, history and engineering. It is syncretic and easy to read. Slow Cities is organized under three main themes: the paradox of speed, the impacts of speed on health, and strategies to slow speed. While the book does not focus on children and youth, there is a great deal of excellent material for researchers and planners interested in that population group. As part of the cultural shift from pedestrian-powered to car-dominated streets in the early 20th century, subsidized by the nascent automobile and gasoline industries, Boy Scouts were encouraged to hand out tickets to “jaywalkers,” a new term connoting a hick who didn’t understand “the rules.” But at the same time, there was a 94% increase in child pedestrian fatalities in the U.S. from 1913-17 to 1918-22. The shift in blame from car drivers to pedestrians, including children playing on the street, is one of the many ironies explored in the first third of the book. Similarly, in the section on health, there is a focus not only on the physical health costs of child obesity and inactivity, but the stress associated with “parents Book Review: Slow Cities: Conquering Our Speed Addiction for Health… 203 rush[ing] their children from one stimulating extra-curricular activity to another, to give their own child a competitive edge in a consumerist world” (Tranter & Tolley, 2020, p. 117). Nearly two thirds of Australian parents spend more than eight hours a week driving their children to school and other activities (Ibid, p. 43), in turn endangering other children who are making their own way to school. Road engineers personally value safety over speed but design otherwise (Ibid, pp. 9091 ). Perhaps the most basic paradox explored in this book is that despite trillions of dollars spent on highways, overpasses, parking lots, and cars and trucks, traffic speeds in central cities from Toronto to Delhi have not increased in the past century (Ibid, p. 98). Tranter’s previous work on effective speed has shown that walking, cycling or taking transit to most destinations is faster than driving, particularly if you take into account the time spent paying for the mode (Tranter, 2010). Of course, a true cost benefit analysis of speed would include pollution, road crashes and climate breakdown. Part three, focusing on strategies, will be of most immediate use to practitioners. Tranter and Tolley summarize the arguments for 30 km/hour speed limits, which are not...

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.272
Teacher spread0.260 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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