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Record W1528029253

Ten Minutes Wide: Human Walking Capacities and the Experiential Quality of Campus Design.

2011· article· en· W1528029253 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePlanning for higher education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsMileMetropolitan areaQuarter (Canadian coin)PopulationTRIPS architectureDestinationsSociologyTransport engineeringGeographyDemographyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Designing for Human Capacities All humans have limits based on their physical abilities. Collectively, these human capacities inform whether or not the built environment fits our needs (Ittelson et al. 1974). For example, the human capacity to walk at an average speed of to three miles per hour limits the distance a person can travel in a given period of time. Combining this fact with the average person's tolerance for walking in terms of distance and time suggests that the best fit occurs when likely destinations in the built environment fall within a quarter-mile radius or a 10-minute walk. Research has shown that this distance complies with human scale; this particular human capacity has informed the design of cities and communities worldwide (Barnett 2003; Calthorpe 1993; Perry 1929). A tangential idea related to the quarter-mile or 10-minute walk is referred to as the Marchetti constant. The Marchetti constant states that throughout history, the time people spend traveling each day has remained at a fairly constant and a half hours (Marchetti 1994), and, on average, people prefer to travel no more than half an hour on trips to and from home (Newman and Jennings 2008). These two human capacities effectively prescribe that the built environment should be approximately one hour wide, where the average one-way commute, regardless of transportation type, equals 30 minutes. In most of today's autocentric urban environments, a 30-minute commute would be a welcome relief! For example, in metropolitan Atlanta, 11.8 percent of the population (approximately half a million people) spends over an hour commuting way to work (Hart 2006). The point is that while we can figure out the maximums and minimums to fit human capacities, our built environments do not always coincide with these limits. Evidence of this is seen in all types of built environments, and college campuses are no exception. In an academic setting, the travel-time budget is quite different. The one hour wide urban planning ideal shrinks to 10 minutes wide, given the fact that students have a set amount of time to change classes. Based on a 10-minute intersession and our physical walking abilities, the maximum distance between classes should be at most 2,400 feet and fit within a quarter-mile radius. However, the form and spatial configuration of many campuses has shifted to a suburban model, in which distances between buildings are scaled to fit the automobile and often exceed the dimensions dictated by human walking capacities (Kenney, Dumont, and Kenney 2005). Beginning in the 1960s, campus master plans addressed this shift in scale by designing for human users and placing likely destinations within a quarter-mile radius. Today, many master plans go a step further and actually promote the experiential characteristics associated with campus walkability as an important way to recruit students and bring feelings of community to the campus setting (see the 2008 campus master plans for Middlebury College and the University of Utah [web addresses for these and all plans cited are included at the end of the article]). Thus, whether a campus is large or small, the idea of a 10-minute walk is an important human-scaled design standard that affects an institution in significant ways beyond just getting students to class on time. Designing a 10-Minute Walk Designing a 10-minute walk seems like a simple exercise. Based on earlier information, all needs to do is provide a walking surface and make it approximately 2,400 feet long. But in reality, this is a much more complex design problem. Beyond answering the question of why a 10-minute walk is important, many master plans fail to suggest how to effectively create one. Keeping human capacities in mind, what would such a walk look like and how should it function? To begin answering this question, the author reviewed 37 campus master plans and categorized all stated design goals for walking paths into three main categories: (1) functional, (2) aesthetic, and (3) experiential. …

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.

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)0.001
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 score0.328
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.125
GPT teacher head0.377
Teacher spread0.252 · 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