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Does Street Quality Affect Transit U...

Ghorveh, Mohsen Ghiasi.

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Does Street Quality Affect Transit Users' Route Choice?

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Does Street Quality Affect Transit Users' Route Choice?/
作者:	Ghorveh, Mohsen Ghiasi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	212 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
Contained By:	Dissertation Abstracts International78-10A(E).
標題:	Urban planning. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10610721
ISBN:	9781369856040

Does Street Quality Affect Transit Users' Route Choice?
Ghorveh, Mohsen Ghiasi.

Does Street Quality Affect Transit Users' Route Choice? - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 212 p.

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.

Thesis (Ph.D.)--North Carolina State University, 2017.

As a contribution to counteract the reduction of adult physical activity, and to better understand pedestrians' preferences for streetscape quality, this investigation examined the micro-spatial attributes of routes that may attract a commuting pedestrian to choose one route over another. Route choice is a novel methodology that reduces self-selection bias and provides variations in settings. Until now, studies of the association between street attributes and route choice have produced mixed results. Some suggest that walkers consider the shortest path to minimize distance or walking time. Other studies found route quality to be a predictor of route choice. However, no studies have been identified that included both physical features and perception.

ISBN: 9781369856040Subjects--Topical Terms:

2122922
Urban planning.

Does Street Quality Affect Transit Users' Route Choice?
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500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
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520 $a As a contribution to counteract the reduction of adult physical activity, and to better understand pedestrians' preferences for streetscape quality, this investigation examined the micro-spatial attributes of routes that may attract a commuting pedestrian to choose one route over another. Route choice is a novel methodology that reduces self-selection bias and provides variations in settings. Until now, studies of the association between street attributes and route choice have produced mixed results. Some suggest that walkers consider the shortest path to minimize distance or walking time. Other studies found route quality to be a predictor of route choice. However, no studies have been identified that included both physical features and perception.
520 $a To achieve an explicit transaction between environmental attributes and walking behavior, three studies were conducted. The first study examined the relationship between route choices and streets design characteristics. The Walkability Index was used to randomly select four light rail stations in Charlotte, NC. Fifty-one transit users were recruited to identify their actual walking routes. To generate route alternatives not picked, the k-shortest path algorithm produced 112 alternative routes. Objective environmental data were gathered by using the Pedestrian Environmental Data Scan audit tool at the street-segment level. Results of a conditional logistic regression across routes chosen and not chosen confirmed that distance is a dominant attribute of routes. However, sloping terrain was negatively associated and crossing aids (traffic control devices and pedestrian facilities to cross streets) were positively associated with route choice. Similarly, number of trees and sidewalk width were positively associated with route choice. Results suggest that pedestrians in the sample area were willing to walk 562.7 feet (171.5 meters or about 3 minutes walking time) - longer if the sidewalk had more trees and shade. Furthermore, the coefficient of slope indicated that the odds of not being selected for a slight and steep route was 6]times higher than for flat routes. Furthermore, pedestrians were willing to walk 302.8 feet (92.3 meters or 1.5 minutes) more if the route was flat.
520 $a The second study explored the perceptual association between pedestrians' preferences for street attributes and route choice using an online survey questionnaire. Utilizing both factor analysis and principal component analysis, route distance, crossing aids facilities, path distance from curb, articulation in building design, and gender [female] were found to be consistently associated with two factors: route safety and sidewalk safety. Route slope, number of turns, and average amount of greenery along routes were correlated with route attractiveness.
520 $a The third study compared the number of times segments were walked by participants. The number of pedestrians along a route was estimated using Urban Network Analysis. The findings of a conditional Poisson regression confirm, however, that segment distance is significantly associated with segment frequency of use. Furthermore, sidewalk width is a salient variable and positively correlated with the dependent variable, segment frequency of use. The results also reveal that for a one-unit increase in sidewalk width among segments, the estimated number of segment use may increase 58%. For segments with crossing aid facilities, the increase may be 42%. Moreover, by controlling for spatial autocorrelation between segments, results of a conditional logistic regression show that transit users prefer to use segments with less slope, higher number of crossing aids, and fewer number of three and four-way intersections in walking from origin (home/workplace) to light rail stations.
520 $a Taken together, the study results suggest that an increase in streetscape quality and provision of stimulating street segments and routes may affect pedestrian walking experience and thereby encourage pedestrians to walk farther, to trade-off increased distance for improved street qualities.
590 $a School code: 0155.
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650 4 $a Landscape architecture. $3 541842
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650 4 $a Transportation. $3 555912
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