The influence of built environment and travel attitudes on walking: A case study of Porto Alegre, Brazil

Larrañaga, Ana Margarita; Rizzi, Luis Ignacio; Arellana, Julián; Strambi, Orlando; Cybis, Helena Beatriz Bettella

doi:10.1080/15568318.2014.933986

Cited by 81 publications

(45 citation statements)

References 24 publications

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“…For instance, the average level of physical activity for adults in China has dropped by nearly 50% from 1991 to 2011 (Zang and Ng 2016), and almost 80% of its adolescents were reported having inadequate exercise (Chen et al 2014). In this context, walking has become a most sustainable form of physical activity in our daily lives, which enables people to interact with the environment in a more direct way due to its slow speed (Kamruzzaman et al 2016;Larrañaga et al 2016). Increasing evidence reveals that the improvements of the built environment can facilitate walking and other types of physical activity by providing more convenient transportation (Ball et al 2001), accessible destinations (Owen et al 2007), aesthetically pleasing features (Inoue et al 2010), and well-maintained footpaths (McCormack et al 2010), etc.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, walking attitudes may moderate the environmental influences on physical activity (Yang and Diez-Roux 2017), although previous research has largely focused on measuring travel attitudes in general (Kitamura et al 1997;Larrañaga et al 2016). Recent studies suggest that compared to general attitudes, behaviour-specific attitudes have stronger correlations with the behaviour (Kroesen and Chorus 2018).…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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“…In Latin America, many studies incorporating income can be found, in some cases, as an ordinal variable and as input in transportation research. Some examples include studies of departure time choice models [14], analysis of the relation between mobility and the built environment [15] or mode choice models [16,17].…”

Section: Ses Income and Transportationmentioning

confidence: 99%

Socioeconomic strata as proxy variable for household income in transportation research. Evaluation for Bogotá, Medellín, Cali and Barranquilla

Cantillo-García

Guzman

Arellana³

2019

DYNA

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In Colombia, a socioeconomic stratification (SES) system of households based on the physical characteristics of the dwelling and its surroundings is implemented in order to set subsidies to public services. Many studies use this classification as a proxy variable for the household income, mainly because of the ease to retrieve data. This investigation proposes an evaluation of the SES as an explanatory variable for the household income. Ordered logit regressions were estimated for the cities of Bogotá, Medellín, Cali and Barranquilla, where the dependent variable corresponds to the SES. Even though there is a positive correlation between SES and household income, the relation depends on certain characteristics of the household as it size, vehicle availability and percentage of workers and students. The results were validated by comparing trip generation models. By including the significant attributes from the ordinal regressions, trip generation models with income and SES had similar fit, which suggests that using the SES as a proxy variable for the income, might be appropriate as long as their correspondence is checked according to household characteristics.

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“…Some other features of urban form are more closely related to retail micro-localization, as the existence of land with suitable dimensions, good visibility, and flatter topography. Studies have shown that the streets with high slope tends to discourage pedestrians [19,20], and in general, they are not favorable for retail locations.…”

Section: Factors Of Retail Localizationmentioning

confidence: 99%

Locational Attractiveness Modelling of Retail in Santa Maria, Brazil

Paroli

Maraschin

2018

Urban Science

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A central topic in the retail analysis is store location, which is related to its attractiveness and even with its profitability. In order to determine the force of attraction of a given point of sale, methodologies based on gravitational models have been developed. More recently, classic models have been integrated with Geographic Information Systems (GIS). This paper explores a methodology for retail spatial analysis in a GIS environment, and it aims to: (a) model the degree of influence of different store location attributes on the consumer choice among a collection of retail options, and (b) develop an empirical application for the clothing retail business sector in the city of Santa Maria, RS, Brazil. The study selects three relevant location attributes of store choice: retail market clustering, local accessibility of the street network, and topographic slope of the terrain. These three location features were taken as inputs for the attractiveness evaluation of each store, using the Huff model. As a result, we were able to model the trading areas of each shop related to the selected attributes. The paper provides a methodology for modelling the performance of retail location attributes and building different scenarios of probabilities for consumer patronage, allowing a first measure of the influence of each selected store location attribute.

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The influence of built environment and travel attitudes on walking: A case study of Porto Alegre, Brazil

Cited by 81 publications

References 24 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

Socioeconomic strata as proxy variable for household income in transportation research. Evaluation for Bogotá, Medellín, Cali and Barranquilla

Locational Attractiveness Modelling of Retail in Santa Maria, Brazil

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