The effectiveness of ‘shared space’ residential street interventions on self-reported activity levels and quality of life for older people

Curl, Angela; Thompson, Catharine Ward; Aspinall, Peter

doi:10.1016/j.landurbplan.2015.02.019

Cited by 44 publications

(44 citation statements)

References 26 publications

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“…On one hand, Biddulph (2012) found that shared streets in residential areas (UK home zones) were more successful than conventional traffic-calming solutions-albeit this would mainly benefit children and the ones looking after them-and Karndacharuk et al (2013) found increases in pedestrian occupancy after shared space street implementation. On the other, Curl et al (2015) did not find evidence of positive change in outdoor social activity. While Hammond and Musselwhite (2013) found that 57% of the users of a shared space scheme in Hereford, UK would stop and socialise; 65% reported "no" to the same question asked by Moody and Melia (2014) for another case in Ashford, UK.…”

Section: Socialisationmentioning

confidence: 67%

“…Some of them have been chosen as case studies in different investigations on shared space and similar street schemes that allow pedestrians and vehicles to share the same surface, namely Biddulph (2010Biddulph ( , 2012b, Curl et al (2012Curl et al ( , 2015, Hammond and Musselwhite (2013), Havik et al (2015), Kaparias et al (2013Kaparias et al ( , 2015, Moody and Melia (2014), and MVA Consultancy (2011.…”

Section: Selection Of Case Studymentioning

confidence: 99%

“…This revitalization potential is claimed by the advocates who claim it can foster for "the multiple uses of streets and spaces for every kind of social activity" (Hamilton-Baillie, 2008a, p.137) and the governmental publications that refer to it as a "way of enhancing a street's sense of place [the quality which makes a street somewhere to visit and spend time in]" (Department for Transport, 2011, p.6). Recent research by Biddulph (2012), Curl et al (2015), Karndacharuk et al (2013), Hammond and Musselwhite (2013) and Moody and Melia (2014) are, again, often inconclusive and/or contradictory, making it pertinent for the new research to further investigate the social issues. This study carefully takes into consideration the work by the above mentioned researchers and build upon their work to develop an applicable set of research methods.…”

Section: Introductionmentioning

confidence: 99%

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Shared space streets: design, user perception and performance

et al. 2017

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Shared space is becoming an increasingly well-accepted approach to street design, pursuing the improvement of the uses of the street on foot without restricting other modes of movement. This approach introduces some degree of uncertainty about the application of the traffic rules by minimising traffic signs and conventional physical demarcations in order to enable the different users to share the road space and negotiate their movement through and across. Despite existing evidence on reducing traffic accidents and casualties, this type of street design has remained an unorthodox approach. This article addresses the key issues of road safety, user comfort and revitalization aspects of the shared space, raised in the last decade with a focus on the pedestrian users. Based on the analysis of the layout, performance and user perception of six study areas, evidence reveals how these schemes affect safety, comfort, conventional spatial distribution/hierarchy of users, and the public life.

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Section: Socialisationmentioning

confidence: 67%

Section: Selection Of Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shared space streets: design, user perception and performance

et al. 2017

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“…Globally, a growing number of studies have focused on children and older people, due to the differentiation in their physiology and perception [35,36,[40][41][42][43][44]. We acknowledge that studies of older people and children are crucial for walkability, but this study focuses on the "working age population" (i.e., those aged between 18 and 59) in order to avoid the potential effects of physiological differentiation upon the exposure-outcome relationship.…”

Section: Populationmentioning

confidence: 99%

Exploring the Associations of Walking Behavior with Neighborhood Environments by Different Life Stages: A Cross-Sectional Study in a Smaller Chinese City

Sun

Lai

Bell

et al. 2019

IJERPH

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Because of high population density and rapid urbanization, different human life stages have distinct growth experiences, leading to different lifestyles and age-spatial separation in the same neighborhood environment, particularly in smaller Chinese cities. The relationship of environment to physical activity may differ from western or larger Chinese cities. This study examined the associations of walking duration to the neighborhood environment and other factors, and explored the nuances of walking behavior for different life stages of adults in a smaller Chinese city, Yuncheng. An interviewer-administered questionnaire survey (n = 173) and face-to-face interviews (n = 19) were conducted in August 2017. Descriptive analysis and multiple linear regression were performed to describe walking motivations, sociodemographic characteristics, neighborhood environments, and their impacts on walking duration across three life stages. The quantitative findings were followed by interviews to validate and interpret them. Our results showed no positive associations of land-use mix (LUM) and residential density on walking duration, and even inverse associations of LUM-recreation and LUM-education for specific life stages were identified. Younger people's walking behavior was more related to consumption amenities distinct from those of older people. Our findings suggest that using walkable neighborhood policies (e.g., high residential density and land-use mix) to increase physical activity might be ineffective in smaller Chinese cities.

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“…Thus, the quality of the final model is assessed on the out-of-sample fit, ensuring replication of the calibration results on real-life data, which has been a long-time concern related to published models (Nuzzo, 2014). Model assessment based on new out-of-sample cases means that modelling with CCR does not pose requirements to satisfy sampling assumptions, which are the basis of traditional hypothesis testing (Curl, Thompson, & Aspinall, 2015). 6), which assess the model accuracy.…”

Section: Statistical Modellingmentioning

confidence: 99%

Soil organic matter and texture estimation from visible–near infrared–shortwave infrared spectra in areas of land cover changes using correlated component regression

et al. 2019

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Land use changes due to natural and human‐related factors, which include wildfires and crop abandonment, are among the most important drivers of soil degradation and demand regular monitoring. Proximal soil sensing in visible–near infrared–shortwave infrared spectral regions could offer a solution. However, to become operational, optimal combination of data and technique has to be defined. Thus, the purpose of this study was (a) to predict the soil organic matter (SOM) content and soil texture in areas of wildfire burns and crop abandonment in Aragón Province, Northern Spain, from their laboratory reflectance spectra using novel correlated components regression with a step‐down variable selection algorithm (CCR‐SD) and (b) to compare the CCR‐SD and the partial least squares regression (PLSR) methods. The results obtained by the tested methods were similar. CCR‐SD models showed high predictive capacity with coefficients of determination (R2) in the range of 0.80–0.86 and 0.70–0.87 for calibration and validation data sets, respectively, and the highest R2 value was attained in the SOM estimation. Moreover, the CCR‐SD models stand out for the superior accuracy–parsimony relationship: the number of predictors varied from 16 (silt models) to 49 (SOM models). On average, the CCR‐SD calibrations needed less than a half of the predictors employed in PLSR models. This research confirmed that CCR‐SD can be used for monitoring SOM content and texture of soils from visible–near infrared–shortwave infrared spectra in the study area and, probably, in other areas of land use/land cover change and that CCR‐SD can create highly parsimonious models that achieve results comparable with the commonly used PLSR method.

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The effectiveness of ‘shared space’ residential street interventions on self-reported activity levels and quality of life for older people

Cited by 44 publications

References 26 publications

Shared space streets: design, user perception and performance

Shared space streets: design, user perception and performance

Exploring the Associations of Walking Behavior with Neighborhood Environments by Different Life Stages: A Cross-Sectional Study in a Smaller Chinese City

Soil organic matter and texture estimation from visible–near infrared–shortwave infrared spectra in areas of land cover changes using correlated component regression

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