Built environment correlates of walking for transportation: Differences between commuting and non-commuting trips

Liu, Jixiang; Zhou, Jiangping; Xiao, Li‐Na

doi:10.5198/jtlu.2021.1933

Cited by 18 publications

(10 citation statements)

References 68 publications

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“…This left-censored data structure ruled out ordinary least square regression due to violation of basic assumptions. Instead, we used Tobit models, an increasingly common modelling framework in recent transport studies [ 55 – 57 ] to analyse the associations between walkability and walking duration and distance. In short, Tobit models provide similar interpretation to regular linear regression; however, effect estimates are conditional on probability that walking outcome is above zero.…”

Section: Methodsmentioning

confidence: 99%

Development of an objectively measured walkability index for the Netherlands

Lam

Wang

Vaartjes

et al. 2022

Int J Behav Nutr Phys Act

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Background Walkability indices have been developed and linked to behavioural and health outcomes elsewhere in the world, but not comprehensively for Europe. We aimed to 1) develop a theory-based and evidence-informed Dutch walkability index, 2) examine its cross-sectional associations with total and purpose-specific walking behaviours of adults across socioeconomic (SES) and urbanisation strata, 3) explore which walkability components drive these associations. Methods Components of the index included: population density, retail and service density, land use mix, street connectivity, green space, sidewalk density and public transport density. Each of the seven components was calculated for three Euclidean buffers: 150 m, 500 m and 1000 m around every 6-digit postal code location and for every administrative neighbourhood in GIS. Componential z-scores were averaged, and final indices normalized between 0 and 100. Data on self-reported demographic characteristics and walking behaviours of 16,055 adult respondents (aged 18–65) were extracted from the Dutch National Travel Survey 2017. Using Tobit regression modelling adjusted for individual- and household-level confounders, we assessed the associations between walkability and minutes walking in total, for non-discretionary and discretionary purposes. By assessing the attenuation in associations between partial indices and walking outcomes, we identified which of the seven components drive these associations. We also tested for effect modification by urbanization degree, SES, age and sex. Results In fully adjusted models, a 10% increase in walkability was associated with a maximum increase of 8.5 min of total walking per day (95%CI: 7.1–9.9). This association was consistent across buffer sizes and purposes of walking. Public transport density was driving the index’s association with walking outcomes. Stratified results showed that associations with minutes of non-discretionary walking were stronger in rural compared to very urban areas, in neighbourhoods with low SES compared to high SES, and in middle-aged (36–49 years) compared to young (18–35 years old) and older adults (50–65 years old). Conclusions The walkability index was cross-sectionally associated with Dutch adult’s walking behaviours, indicating its validity for further use in research.

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Section: Methodsmentioning

confidence: 99%

Development of an objectively measured walkability index for the Netherlands

Lam

Wang

Vaartjes

et al. 2022

Int J Behav Nutr Phys Act

View full text Add to dashboard Cite

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“…However, the role of objective and subjective variables of the built environment has mainly been glossed over. Less studies address the association between active mobility and SWB, emphasizing the geographical and environmental characteristics [ 62 , 63 ]. Moreover, there is less evidence of taking a holistic approach to the correlation of various active mobility modes with wellbeing domains by practitioners or scholars.…”

Section: Discussionmentioning

confidence: 99%

The Association between Active Mobility and Subjective Wellbeing during COVID-19 in MENA Countries

Ranjbarnia

Kamelifar²,

Masoumi³

2022

Healthcare

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Objective: To augment the international scientific approach to raising public mental health through active lifestyle among adults, we added the evidence of the association between physical activity and subjective wellbeing in the Middle East and North Africa region by emphasizing the mediator—COVID-19. This study aimed to identify the correlations between active mobility and subjective wellbeing during the COVID-19 pandemic in a sample from Tabriz, Iran, which has not yet been tackled in previous study. Methods: We finalized an online survey (N = 603) from adults between 5 June and 15 July 2021. This group reported their individual and socio-economic characteristics and their perception features and location (e.g., home, work) during COVID-19. The paper developed three ordinal logistic regression (OLR) models to examine the association between active mobility types such as commute, non-commute, frequency of active travel to parks and services per week, and different subjective wellbeing including: 1- life satisfaction, 2- feeling energetic, and 3- peaceful mind while controlling for socio-economic variables (e.g., age, gender, education, job, and income) and objective commute distance. We also incorporated the most relevant objective (street length, land-use mix, number of intersections, and building and population density) and subjective (perceived distance to different services, perceived walking places, and perceived facilities attractiveness) factors. Results: Positive response relationships between four types of physical activity levels and subjective wellbeing scores were demonstrated in all of the three developed models (with significant levels of 0.05, and 0.1) with appropriate model fits, which confirmed the existing literature. However, these relationships showed different patterns (varied significant levels) for each type of subjective wellbeing. In addition, the factors including street length (p value: 0.004), perceived walkable places (p value: 0.021, 0.068, 0.017, and 0.025) (positively), population density, and perceived distance to shopping malls (p value: 0.076, <0.0001, and 0.059 (negatively) were associated with different indicators of subjective wellbeing. Conclusion: As for the implication of our study, special actions by urban authorities such as increasing mixed-use and creating attractive places will be required to enhance the walkability of the neighborhoods. Moreover, notifying the adults regarding the benefits of physical activity is much more needed.

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“…Zhang et al (2022)'s simulation model of pedestrian demand suggests that denser, more diverse land-use plans in Portland can improve promotion of walking trips. And Liu et al, (2021) finds that areas with greater balance in land use increase walking for all kinds of trips in Xiamen, China, but particularly walking when commuting. 4 Areas with greater entropy (balance of land uses) or dissimilarity (spatial mix of uses), however, may not be of greater value if the balance and mix are being generated by unpleasant land uses.…”

Section: Literature Reviewmentioning

confidence: 99%

Transit station area walkability: Identifying impediments to walking using scalable, recomputable land-use measures

Pilgram¹,

West²

2023

JTLU

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Transit station area land-use characteristics can increase or decrease the perceived costs of riding rail relative to driving or taking other modes. This paper focuses on those characteristics that create discomfort to riders who are walking between stations and destinations, with the aim of providing researchers and planners with a tool that can be used to identify pain points in any existing or potential station areas. We propose and demonstrate a scalable, recomputable method of measuring pedestrian quality for trips that relies solely on datasets readily available for almost any location in the United States, and we compare results using data from a global source, OpenStreetMap. We illustrate our tool in neighborhoods surrounding the Blue Line light rail in Minneapolis, Minnesota, calculating the population-weighted distribution of land uses within pathway buffers of walks from stations to nearby destinations. We focus on land uses that pose a disutility to pedestrians such as major highways or industrial tracts, and we compare disamenity levels across station areas. Despite their simplicity, our measures capture important differences in land-use-related pedestrian experiences and reveal the inadequacy of using circular buffers to designate and characterize station catchment areas.

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Built environment correlates of walking for transportation: Differences between commuting and non-commuting trips

Cited by 18 publications

References 68 publications

Development of an objectively measured walkability index for the Netherlands

Development of an objectively measured walkability index for the Netherlands

The Association between Active Mobility and Subjective Wellbeing during COVID-19 in MENA Countries

Transit station area walkability: Identifying impediments to walking using scalable, recomputable land-use measures

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