語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Analyzing the Effect of Micro-Scale Walkability on Walking Behavior.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Analyzing the Effect of Micro-Scale Walkability on Walking Behavior./
作者:
Rodrigue, Lancelot.
面頁冊數:
1 online resource (91 pages)
附註:
Source: Masters Abstracts International, Volume: 85-05.
Contained By:
Masters Abstracts International85-05.
標題:
Transportation. -
電子資源:
click for full text (PQDT)
ISBN:
9798380704168
Analyzing the Effect of Micro-Scale Walkability on Walking Behavior.
Rodrigue, Lancelot.
Analyzing the Effect of Micro-Scale Walkability on Walking Behavior.
- 1 online resource (91 pages)
Source: Masters Abstracts International, Volume: 85-05.
Thesis (M.Sc.)--McGill University (Canada), 2023.
Includes bibliographical references
Walkability, which is a conceptualization of the factors of the built and social environment that influence walking behaviour, can be understood at different scales and level of objectivity. Subjective walkability, a measure of the perceived friendliness of walking in an area, has been less commonly assessed than objective measurements, even though it has been shown that the latter are limited in their ability to capture the experience of walking in diverse settings. Similarly, limited research has analyzed on the relationship between the built-environment and walking behaviour varies between social groups. Walkability metrics have also been more commonly used at the meso-scale than the micro-scale even though the latter have been shown to be more closely linked to the walking experience and equity issues. This MSc Thesis aims to evaluate the applicability of a micro-scale walkability index (MAPS-Mini Audit tool) compared to a commonly used meso-scale index (Walkscore©) to (1) understand the predictors of subjective walkability and (2) to understand how these measures interact with sociodemographic characteristic when modelling walking behavior. In the first part of this research, I study how built-environment and land-use predictors of subjective walkability vary between travel and leisure walking. To do so, data was collected from 848 street segments in Montreal, Canada using the MAPS-mini audit tool, external measurements including Walkscore© as well as synthetic subjective walkability scores. Mixed effect multilevel models were generated by using travel and leisure subjective walkability scores as dependent variables and built environment features as independent variables. In the second part of this research, I analyze the interaction between walkability indices (MAPS-Mini audit tool and Walkscore©) and socio-demographic characteristic when modelling walking behavior using trip data from Montreal, Canada. Logistic regressions are used to model the probability of adults walking to destinations as a function of trip, person, and household characteristics, as well as walkability indices for the household location. Sensitivity analyses are conducted for four socio-demographic variables - gender, age, household income, and presence of children below 13 years old in the household - based on interactions with each of the walkability indices. For Chapter 1, results show that statistically significant positive micro-scale predictors of perceived walkability differed between walking for travel and walking for leisure. Walkscore© was found to have a weak but significant effect on perceived walkability for travel, but no effect for leisure. In Chapter 2, interactions for all variables for both indices aside from Walkscore©'s interaction with gender are significant. Differential interactions are observed between the two indices for household income and presence of children. Overall, findings highlight the need to move towards a multi-scalar approach to walkability, by using data at the street and neighborhood level. Objective and subjective walkability measures should be used as complementary of each other, and socio-demographic characteristics of pedestrians should be considered as moderating factors of the effect of the built environment on walking behavior.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798380704168Subjects--Topical Terms:
558117
Transportation.
Index Terms--Genre/Form:
554714
Electronic books.
Analyzing the Effect of Micro-Scale Walkability on Walking Behavior.
LDR
:08614ntm a22004217 4500
001
1149578
005
20241022112136.5
006
m o d
007
cr bn ---uuuuu
008
250605s2023 xx obm 000 0 eng d
020
$a
9798380704168
035
$a
(MiAaPQ)AAI30718162
035
$a
(MiAaPQ)McGill_fn107429v
035
$a
AAI30718162
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
$d
NTU
100
1
$a
Rodrigue, Lancelot.
$3
1475873
245
1 0
$a
Analyzing the Effect of Micro-Scale Walkability on Walking Behavior.
264
0
$c
2023
300
$a
1 online resource (91 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Masters Abstracts International, Volume: 85-05.
500
$a
Advisor: Manaugh, Kevin.
502
$a
Thesis (M.Sc.)--McGill University (Canada), 2023.
504
$a
Includes bibliographical references
520
$a
Walkability, which is a conceptualization of the factors of the built and social environment that influence walking behaviour, can be understood at different scales and level of objectivity. Subjective walkability, a measure of the perceived friendliness of walking in an area, has been less commonly assessed than objective measurements, even though it has been shown that the latter are limited in their ability to capture the experience of walking in diverse settings. Similarly, limited research has analyzed on the relationship between the built-environment and walking behaviour varies between social groups. Walkability metrics have also been more commonly used at the meso-scale than the micro-scale even though the latter have been shown to be more closely linked to the walking experience and equity issues. This MSc Thesis aims to evaluate the applicability of a micro-scale walkability index (MAPS-Mini Audit tool) compared to a commonly used meso-scale index (Walkscore©) to (1) understand the predictors of subjective walkability and (2) to understand how these measures interact with sociodemographic characteristic when modelling walking behavior. In the first part of this research, I study how built-environment and land-use predictors of subjective walkability vary between travel and leisure walking. To do so, data was collected from 848 street segments in Montreal, Canada using the MAPS-mini audit tool, external measurements including Walkscore© as well as synthetic subjective walkability scores. Mixed effect multilevel models were generated by using travel and leisure subjective walkability scores as dependent variables and built environment features as independent variables. In the second part of this research, I analyze the interaction between walkability indices (MAPS-Mini audit tool and Walkscore©) and socio-demographic characteristic when modelling walking behavior using trip data from Montreal, Canada. Logistic regressions are used to model the probability of adults walking to destinations as a function of trip, person, and household characteristics, as well as walkability indices for the household location. Sensitivity analyses are conducted for four socio-demographic variables - gender, age, household income, and presence of children below 13 years old in the household - based on interactions with each of the walkability indices. For Chapter 1, results show that statistically significant positive micro-scale predictors of perceived walkability differed between walking for travel and walking for leisure. Walkscore© was found to have a weak but significant effect on perceived walkability for travel, but no effect for leisure. In Chapter 2, interactions for all variables for both indices aside from Walkscore©'s interaction with gender are significant. Differential interactions are observed between the two indices for household income and presence of children. Overall, findings highlight the need to move towards a multi-scalar approach to walkability, by using data at the street and neighborhood level. Objective and subjective walkability measures should be used as complementary of each other, and socio-demographic characteristics of pedestrians should be considered as moderating factors of the effect of the built environment on walking behavior.
520
$a
La marchabilite, qui est une conceptualisation des facteurs de l'environnement bati et social influencant la marche, peut etre analyser a differentes echelles et niveaux d'objectivite. La marchabilite subjective, une mesure de la perception deconvivialite de l'environnement pieton, a ete moins etudiee que les indices de marchabilite objectifs et ce, meme s'il a ete demontre que ces derniers sont limites dans leur capacite a refleter l'experience pietonne dans des environnements varies. De plus, peu de recherche a analyser comment la relation entre l'environnement bati et les habitudes de marche varie entre diverse groups sociaux. La marchabilite a ete mesuree plus frequemment a l'echelle locale qu'a l'echelle de la rue meme si cette derniere approche a ete associee davantage a l'experience de marche et a l'equite entre les groupes sociaux. Ce m/moire de maitrise vise a evaluer l'applicabilite d'une mesure de la marchabilite a l'echelle de la rue (outil MAPS-Mini) comparement a celle d'une mesure a l'echelle locale (Walkscore©) pour (1) evaluer les facteurs influencant la marchabilite subjective et pour (2) analyser comment ces mesures interagissent avec les caracteristiques socio-demographiques lorsqu'on modelise les habitudes de marche. Pour ce faire, des donnees ont ete recoltees pour 2497 segments de rues a Montreal en utilisant l'outil MAP-Mini, des donnees externes comme le Walkscore© et des scores synthetiques de marchabilite subjective. Dans la premiere partie de cette recherche, j'etudie comment les caracteristiques de l'environnement bati contribuant aux perceptions de marchabilite varient entre la marche utilitaire et la marche de loisir. Des modeles multiniveaux sont generes en utilisant les scores de marchabilite subjective pour la marche utilitaire et la marche de loisir comme variable dependantes et les elements de l'environnement bati comme variables independantes. Dans la deuxieme partie de cette recherche, j'analyse les interactions entre des indices de marchabilite (l'outil MAPS-Mini et Walkscore©) et les caracteristiques socio-demographiques des pietons durant la modelisation des habitudes de marche a l'aide de donnee de deplacement pour Montreal. Des regressions logistiques sont utilisees pour modeliser la probabilite qu'un adulte marche a une destinations en fonction de caracteristiques du deplacement, de la personne, du menage et des indices de marchabilite pour l'emplacement du menage. Des analyses de sensibilite sont realisees pour quatre variables socio-demographiques - le genre, l'age, le revenu par menage et la presence d'enfant de moins de 13 ans dans le menage - en se basant sur les interactions entre chacune et les indices de marchabilite. Pour le premier chapitre, les resultats demontrent que les facteurs de l'environnement bati a l'echelle de la rue qui ont un effet statistique positif sur la marchabilite subjective different entre la marche utilitaire et la marche de loisir. Il est aussi observe que le Walkscore© a un effet faible mais significatif sur la marchabilite subjective pour le deplacement, mais aucun effet pour la marche de loisir. Dans le deuxieme chapitre, les interactions entre chaque variable et les indices de marchabilite sont significatifs a l'exception de l'interaction entre le Walkscore© et le genre. Des interactions differentes sont observees entre les deux indices pour les variables de revenu par menage et de presence d'enfants dans le menage. Globalement, les resultats de cette etude demontrent le besoin de transitionner vers une approche multiscalaire a la marchabilite en combinant des indices a l'echelle de la rue et a l'echelle locale. Les indices de marchabilites objectifs et subjectifs devraient etre utilise de facon complementaire et les caracteristiques socio-demographiques des pietons devraient etre considerees comme facteurs de moderation lors de l'etude des effets de l'environnement bati sur les habitudes de marche.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2024
538
$a
Mode of access: World Wide Web
650
4
$a
Transportation.
$3
558117
650
4
$a
Sociology.
$3
551705
650
4
$a
Recreation.
$3
559433
650
4
$a
Land use planning.
$3
1182560
650
4
$a
Demography.
$3
527764
650
4
$a
Neighborhoods.
$3
888883
650
4
$a
Walkways.
$3
1475874
650
4
$a
Walking.
$3
632571
650
4
$a
Connectivity.
$3
1468736
650
4
$a
Travel.
$3
790152
650
4
$a
Light rail transportation.
$3
1465924
650
4
$a
Public health.
$3
560998
650
4
$a
Suburban areas.
$3
1468320
650
4
$a
Sociodemographics.
$3
1471115
650
4
$a
Leisure.
$3
565763
650
4
$a
Statistics.
$3
556824
650
4
$a
Feedback.
$3
1047630
650
4
$a
Objectivity.
$3
564065
650
4
$a
Gender.
$3
1214940
650
4
$a
Pedestrians.
$3
1141492
650
4
$a
Demographics.
$3
1004800
650
4
$a
Behavior.
$3
582559
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0573
690
$a
0463
690
$a
0272
690
$a
0938
690
$a
0536
690
$a
0814
690
$a
0626
690
$a
0709
710
2
$a
McGill University (Canada).
$3
845629
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
773
0
$t
Masters Abstracts International
$g
85-05.
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30718162
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入