Influence on pedestrian commuting behavior of the built environment surrounding destinations: A structural equations modeling approach

Vale, David; Pereira, Mauro

doi:10.1080/15568318.2016.1144836

Cited by 47 publications

(23 citation statements)

References 79 publications

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“…This study examines the associations between the objective neighbourhood characteristics, perceptions of the built environment, walking attitudes and walking frequency for three different activities-work/school, leisure/recreation and household responsibilities-in Shenzhen. The regression analyses demonstrate that the variables associated with walking frequency vary markedly among different types of walking, which is in line with previous studies (Saelens and Handy 2008;Vale and Pereira 2016). More perceived environment variables are found to be associated with walking for leisure/recreation than for household responsibilities and work/school.…”

Section: Discussionsupporting

confidence: 90%

“…Travel attitudes are usually measured by using factor analysis or carefully validated psychometric scales to capture meaningful constructs from numerous statements to reveal travelers' preferences, fondness and perceptions towards different transport modes, as well as intention to travel. Travel attitudes have been found to have significant effects on travel behaviour (Kitamura et al 1997;Kamruzzaman et al 2016;Vale and Pereira 2016). For example, Cao et al (2006) identified four types of travel attitudes: pro-bike/walk, travel minimising, safety of cars, and car dependent during their investigation of relationships between built environment and travel behaviour.…”

Section: Attitudes and Walking Behaviourmentioning

confidence: 99%

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The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China

2019

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The associations between objective and subjective dimensions of the built environment and walking behaviour have been examined extensively in existing studies. However, the interaction effects of those dimensions of the built environment on walking behaviour are understudied and may be more complex than hitherto suggested. Apart from the subjective dimensions of the built environment, walking attitudes also play a role in moderating these relationships. This paper investigates the independent and joint effects of objective neighbourhood characteristics, people's perceptions of the neighbourhood environment, and walking attitudes on the frequency of walking by using Shenzhen as a case study. Since those effects may vary across different kinds of walking trips, the analysis looks separately at three major types of walking at the neighbourhood level-walking for work/school, walking for leisure/recreation, and walking for household responsibilities. Logistic regression analyses confirm that the correlates of people's walking frequency vary considerably among different types of walking. Statistically significant interaction effects of objective neighbourhood characteristics and perceived environment are found. The results suggest that positive perceptions of the environment can compensate for the effect that low objective walkability of neighbourhoods has on people's walking frequency. When seeking to encouraging walking at the neighbourhood level, policymakers should not only concentrate on improving objective neighbourhood characteristics but also consider people's perception of the neighbourhood environment and their attitudes towards walking.

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Section: Discussionsupporting

confidence: 90%

Section: Attitudes and Walking Behaviourmentioning

confidence: 99%

The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China

2019

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“…the built environment can be described as the 5Ds (Cervero & Kockelman, 1997;Cervero, Sarmiento, Jacoby, Gomez, & Neiman, 2009;Ewing & Cervero, 2010), better defined as "3Ds+A", i.e., Density, Diversity, Design and Accessibility, the last normally identified as Destination Accessibility and Distance to transit (Vale & Pereira, 2016). However, the focus of the majority of studies is on the characteristics of origins (the location of the home) and they neglect the influence that the destination might have on travel, despite the already demonstrated importance of destinations in explaining travel.…”

Section: Different Destination Different Commuting Pattern? Analyzinmentioning

confidence: 99%

“…However, the focus of the majority of studies is on the characteristics of origins (the location of the home) and they neglect the influence that the destination might have on travel, despite the already demonstrated importance of destinations in explaining travel. Indeed, the built environment of destinations has been pointed out as more important than the built environment of origins in explaining mobility patterns for several travel modes (Forsyth, Hearst, Oakes, & Schmitz, 2008;McNeil, 2011;Millward, Spinney, & Scott, 2013;Vale & Pereira, 2016), especially if the destination is a regular, consistent destination such as the workplace (Chatman, 2003). Even for active travel, this influence still holds (Manaugh & El-Geneidy, 2011), as although the home to work distance is the major barrier to active commuting, the workplace is an origin for several other daily trips (Dong, Ma, & Broach, 2015), and its built environment features might impede or encourage the making of these trips by walking or cycling (Adams, Bull, & Foster, 2016).…”

Section: Different Destination Different Commuting Pattern? Analyzinmentioning

confidence: 99%

Different destination, different commuting pattern? Analyzing the influence of the campus location on commuting

Vale

Pereira

Viana

2018

JTLU

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Abstract:There is a vast literature on the relationship between built environment and travel, emphasizing the importance of built environment as a determinant of travel. However, the majority of studies focuses on the characteristics of origins and neglects the influence that the destination might have on travel, despite the already demonstrated importance of destinations to explain travel. In this paper, we test the relationship between residential and workplace built environment and the commuting pattern of staff and students of the University of Lisbon, a multi-campus university. Data was obtained through a dedicated travel survey, containing 1474 georeferenced individuals. Chi-square analyses were developed to analyze differences between staff and students and between different campuses. A logistic regression model was developed to explain car commuting, controlling for socio-demographic data. Two different models were developed for students and staff.Our results show the built environment and associated multimodal accessibility of the campuses are important explanatory variables of commuting. Free parking at the campus is crucial for car commuting, especially for students. These results emphasize the importance of measuring destinations as explanatory variables and promoting good urban integration of the campus in the city, increasing its multimodal accessibility.

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“…Walking is one of the most basic and sustainable modes of transport, and has several social, individual and environmental benefits attached to it, that include social equity, health and wellness, reduced greenhouse emission, etc. (Vale, Pereira 2016). Increasing awareness of these benefits of walking has generated interest in recognizing built environment factors that facilitate walking.…”

Section: Introductionmentioning

confidence: 99%

Modelling Perceived Pedestrian Level of Service of Sidewalks: A Structural Equation Approach

Bivina

Parida

2019

Transport

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A disparity between developed and developing countries is not only in the terms of economy and geography, but also on the pedestrians’ perceptions and expectations about the level of service of sidewalks. Therefore, it is paramount to find the effect of various built environment measures, that impact perceived Pedestrian Level Of Service (PLOS) in the context of developing nations. This study investigates the most influential factors of the built environment that affect perceived PLOS of sidewalks in the Indian context. This is one of the first studies in India that utilize Structural Equation Modelling (SEM) technique to assess pedestrian satisfaction and thereby qualitative PLOS of sidewalks. A total of 502 personal interviews was conducted to extract the pedestrian perception about the quality of sidewalks of Thiruvananthapuram city, a typical Indian city. The results identified four latent exogenous constructs named “Safety”, “Security”, “Mobility and infrastructure” and “Comfort and convenience” that represent the main aspects of the PLOS of sidewalks among which factors of security has exhibited highest loading (λ = 0.60). The study identified that parameters like police patrolling, street lighting, cleaner sidewalks, sidewalk obstructions, sidewalk surface have an evident impact on the level of service of sidewalks. The results of the study provide a significant information for interpreting the aspects of the walking environment that mainly influences the PLOS. This information can help city planners to prepare new strategies, policy interventions that enhance the quality of sidewalks and thus making the city more walkable

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Influence on pedestrian commuting behavior of the built environment surrounding destinations: A structural equations modeling approach

Cited by 47 publications

References 79 publications

The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China

The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China

Different destination, different commuting pattern? Analyzing the influence of the campus location on commuting

Modelling Perceived Pedestrian Level of Service of Sidewalks: A Structural Equation Approach

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