Adolescents' and young adults' physical activity related to built environment

Objetivos: este trabajo tiene como objetivo analizar los niveles de actividad fisicas en estudiantes de escuelas secundarias y estudiantes universitarios; estimar su percepción del entorno contruído en relación con la actividad física, y evaluar la relación entre la educación física y el entorno contruído. Metodología: Se aplicó un estudio sociológico trasversal con diseño no experimental. Se completaron el cuestionario internacional de actividad física y el cuestionario de caraterísticas de entorno contruído con una muestra de 1.862 alumnos de escuelas secundarias y universidad en Granada, España. Resultados: los alumnos de la escuela secundaria fueron significativamente más activos que los estudiantes universitarios, quienes alcanzaron niveles insuficientes de actividad física. Sin embargo, consideraron Granada un buen contexto para hacer ejercicio al aire libre. No se encontraron relaciones entre los niveles de actividad física y el entorno contruído. Conclusión: la discrepancia de resultados entre los niveles de actividad física y la percepción del entorno contruído sugieren la necesidad de intervenciones focalizadas en hacer que los jóvenes se den cuenta de las posibilidades que el medio les ofrece para ejercitarse. En consecuencia, el medio puede tener un impacto en la salud al mismo tiempo que los jóvenes aprenden a respetarlo

Adolescents' and young adults' physical activity related to built environment

Objetivos: este trabajo tiene como objetivo analizar los niveles de actividad fisicas en estudiantes de escuelas secundarias y estudiantes universitarios; estimar su percepción del entorno contruído en relación con la actividad física, y evaluar la relación entre la educación física y el entorno contruído. Metodología: Se aplicó un estudio sociológico trasversal con diseño no experimental. Se completaron el cuestionario internacional de actividad física y el cuestionario de caraterísticas de entorno contruído con una muestra de 1.862 alumnos de escuelas secundarias y universidad en Granada, España. Resultados: los alumnos de la escuela secundaria fueron significativamente más activos que los estudiantes universitarios, quienes alcanzaron niveles insuficientes de actividad física. Sin embargo, consideraron Granada un buen contexto para hacer ejercicio al aire libre. No se encontraron relaciones entre los niveles de actividad física y el entorno contruído. Conclusión: la discrepancia de resultados entre los niveles de actividad física y la percepción del entorno contruído sugieren la necesidad de intervenciones focalizadas en hacer que los jóvenes se den cuenta de las posibilidades que el medio les ofrece para ejercitarse. En consecuencia, el medio puede tener un impacto en la salud al mismo tiempo que los jóvenes aprenden a respetarlo

Adolescents' and young adults' physical activity related to built environment

Objetivos: este trabajo tiene como objetivo analizar los niveles de actividad fisicas en estudiantes de escuelas secundarias y estudiantes universitarios; estimar su percepción del entorno contruído en relación con la actividad física, y evaluar la relación entre la educación física y el entorno contruído. Metodología: Se aplicó un estudio sociológico trasversal con diseño no experimental. Se completaron el cuestionario internacional de actividad física y el cuestionario de caraterísticas de entorno contruído con una muestra de 1.862 alumnos de escuelas secundarias y universidad en Granada, España. Resultados: los alumnos de la escuela secundaria fueron significativamente más activos que los estudiantes universitarios, quienes alcanzaron niveles insuficientes de actividad física. Sin embargo, consideraron Granada un buen contexto para hacer ejercicio al aire libre. No se encontraron relaciones entre los niveles de actividad física y el entorno contruído. Conclusión: la discrepancia de resultados entre los niveles de actividad física y la percepción del entorno contruído sugieren la necesidad de intervenciones focalizadas en hacer que los jóvenes se den cuenta de las posibilidades que el medio les ofrece para ejercitarse. En consecuencia, el medio puede tener un impacto en la salud al mismo tiempo que los jóvenes aprenden a respetarlo

Modelling the Impact of Built Environment, Geographical Scales and Latent Constructs On Individual Travel Behaviour

La relación entre la estructura urbana y la movilidad ha sido estudiada desde hace más de 70 años. El entorno urbano incluye múltiples dimensiones como por ejemplo: la estructura urbana, los usos de suelo, la distribución de instalaciones diversas (comercios, escuelas y zonas de restauración, parking, etc.). Al realizar una revisión de la literatura existente en este contexto, se encuentran distintos análisis, metodologías, escalas geográficas y dimensiones, tanto de la movilidad como de la estructura urbana. En este sentido, se trata de una relación muy estudiada pero muy compleja, sobre la que no existe hasta el momento un consenso sobre qué dimensión del entorno urbano influye sobre qué dimensión de la movilidad, y cuál es la manera apropiada de representar esta relación. Con el propósito de contestar estas preguntas investigación, la presente tesis tiene los siguientes objetivos generales: (1) Contribuir al mejor entendimiento de la compleja relación estructura urbana y movilidad. y (2) Entender el rol de los atributos latentes en la relación entorno urbano y movilidad. El objetivo específico de la tesis es analizar la influencia del entorno urbano sobre dos dimensiones de la movilidad: número de viajes y tipo de tour. Vista la complejidad de la relación entorno urbano y movilidad, se pretende contribuir al mejor entendimiento de la relación a través de la utilización de 3 escalas geográficas de las variables y del análisis de la influencia de efectos inobservados en la movilidad. Para el análisis se utiliza una base de datos conformada por tres tipos de datos: (1) Una encuesta de movilidad realizada durante los años 2006 y 2007. Se obtuvo un total de 943 encuestas, en 3 barrios de Madrid: Chamberí, Pozuelo y Algete. (2) Información municipal del Instituto Nacional de Estadística: dicha información se encuentra enlazada con los orígenes y destinos de los viajes recogidos en la encuesta. Y (3) Información georeferenciada en Arc-GIS de los hogares participantes en la encuesta: la base de datos contiene información respecto a la estructura de las calles, localización de escuelas, parking, centros médicos y lugares de restauración. Se analizó la correlación entre e intra-grupos y se modelizaron 4 casos de atributos bajo la estructura ordinal logit. Posteriormente se evalúa la auto-selección a través de la estimación conjunta de las elecciones de tipo de barrio y número de viajes. La elección del tipo de barrio consta de 3 alternativas: CBD, Urban y Suburban, según la zona de residencia recogida en las encuestas. Mientras que la elección del número de viajes consta de 4 categorías ordinales: 0 viajes, 1-2 viajes, 3-4 viajes y 5 o más viajes. A partir de la mejor especificación del modelo ordinal logit. Se desarrolló un modelo joint mixed-ordinal conjunto. Los resultados indican que las variables exógenas requieren un análisis exhaustivo de correlaciones con el fin de evitar resultados sesgados. ha determinado que es importante medir los atributos del BE donde se realiza el viaje, pero también la información municipal es muy explicativa de la movilidad individual. Por tanto, la percepción de las zonas de destino a nivel municipal es considerada importante. En el contexto de la Auto-selección (self-selection) es importante modelizar conjuntamente las decisiones. La Auto-selección existe, puesto que los parámetros estimados conjuntamente son significativos. Sin embargo, sólo ciertos atributos del entorno urbano son igualmente importantes sobre la elección de la zona de residencia y frecuencia de viajes. Para analizar la Propensión al Viaje, se desarrolló un modelo híbrido, formado por: una variable latente, un indicador y un modelo de elección discreta. La variable latente se denomina “Propensión al Viaje”, cuyo indicador en ecuación de medida es el número de viajes; la elección discreta es el tipo de tour. El modelo de elección consiste en 5 alternativas, según la jerarquía de actividades establecida en la tesis: HOME, no realiza viajes durante el día de estudio, HWH tour cuya actividad principal es el trabajo o estudios, y no se realizan paradas intermedias; HWHs tour si el individuo reaiza paradas intermedias; HOH tour cuya actividad principal es distinta a trabajo y estudios, y no se realizan paradas intermedias; HOHs donde se realizan paradas intermedias. Para llegar a la mejor especificación del modelo, se realizó un trabajo importante considerando diferentes estructuras de modelos y tres tipos de estimaciones. De tal manera, se obtuvieron parámetros consistentes y eficientes. Los resultados muestran que la modelización de los tours, representa una ventaja sobre la modelización de los viajes, puesto que supera las limitaciones de espacio y tiempo, enlazando los viajes realizados por la misma persona en el día de estudio. La propensión al viaje (PT) existe y es específica para cada tipo de tour. Los parámetros estimados en el modelo híbrido resultaron significativos y distintos para cada alternativa de tipo de tour. Por último, en la tesis se verifica que los modelos híbridos representan una mejora sobre los modelos tradicionales de elección discreta, dando como resultado parámetros consistentes y más robustos. En cuanto a políticas de transporte, se ha demostrado que los atributos del entorno urbano son más importantes que los LOS (Level of Service) en la generación de tours multi-etapas. la presente tesis representa el primer análisis empírico de la relación entre los tipos de tours y la propensión al viaje. El concepto Propensity to Travel ha sido desarrollado exclusivamente para la tesis. Igualmente, el desarrollo de un modelo conjunto RC-Number of trips basado en tres escalas de medida representa innovación en cuanto a la comparación de las escalas geográficas, que no había sido hecha en la modelización de la self-selection. The relationship between built environment (BE) and travel behaviour (TB) has been studied in a number of cases, using several methods - aggregate and disaggregate approaches - and different focuses – trip frequency, automobile use, and vehicle miles travelled and so on. Definitely, travel is generated by the need to undertake activities and obtain services, and there is a general consensus that urban components affect TB. However researches are still needed to better understand which components of the travel behaviour are affected most and by which of the urban components. In order to fill the gap in the research, the present dissertation faced two main objectives: (1) To contribute to the better understanding of the relationship between travel demand and urban environment. And (2) To develop an econometric model for estimating travel demand with urban environment attributes. With this purpose, the present thesis faced an exhaustive research and computation of land-use variables in order to find the best representation of BE for modelling trip frequency. In particular two empirical analyses are carried out: 1. Estimation of three dimensions of travel demand using dimensions of urban environment. We compare different travel dimensions and geographical scales, and we measure self-selection contribution following the joint models. 2. Develop a hybrid model, integrated latent variable and discrete choice model. The implementation of hybrid models is new in the analysis of land-use and travel behaviour. BE and TB explicitly interact and allow richness information about a specific individual decision process For all empirical analysis is used a data-base from a survey conducted in 2006 and 2007 in Madrid. Spatial attributes describing neighbourhood environment are derived from different data sources: National Institute of Statistics-INE (Administrative: municipality and district) and GIS (circular units). INE provides raw data for such spatial units as: municipality and district. The construction of census units is trivial as the census bureau provides tables that readily define districts and municipalities. The construction of circular units requires us to determine the radius and associate the spatial information to our households. The first empirical part analyzes trip frequency by applying an ordered logit model. In this part is studied the effect of socio-economic, transport and land use characteristics on two travel dimensions: trip frequency and type of tour. In particular the land use is defined in terms of type of neighbourhoods and types of dwellers. Three neighbourhood representations are explored, and described three for constructing neighbourhood attributes. In particular administrative units are examined to represent neighbourhood and circular – unit representation. Ordered logit models are applied, while ordinal logit models are well-known, an intensive work for constructing a spatial attributes was carried out. On the other hand, the second empirical analysis consists of the development of an innovative econometric model that considers a latent variable called “propensity to travel”, and choice model is the choice of type of tour. The first two specifications of ordinal models help to estimate this latent variable. The latent variable is unobserved but the manifestation is called “indicators”, then the probability of choosing an alternative of tour is conditional to the probability of latent variable and type of tour. Since latent variable is unknown we fit the integral over its distribution. Four “sets of best variables” are specified, following the specification obtained from the correlation analysis. The results evidence that the relative importance of SE variables versus BE variables depends on how BE variables are measured. We found that each of these three spatial scales has its intangible qualities and drawbacks. Spatial scales play an important role on predicting travel demand due to the variability in measures at trip origin/destinations within the same administrative unit (municipality, district and so on). Larger units will produce less variation in data; but it does not affect certain variables, such as public transport supply, that are more significant at municipality level. By contrast, land-use measures are more efficient at district level. Self-selection in this context, is weak. Thus, the influence of BE attributes is true. The results of the hybrid model show that unobserved factors affect the choice of tour complexity. The latent variable used in this model is propensity to travel that is explained by socioeconomic aspects and neighbourhood attributes. The results show that neighbourhood attributes have indeed a significant impact on the choice of the type of tours either directly and through the propensity to travel. The propensity to travel has a different impact depending on the structure of each tour and increases the probability of choosing more complex tours, such as tours with many intermediate stops. The integration of choice and latent variable model shows that omitting important perception and attitudes leads to inconsistent estimates. The results also indicate that goodness of fit improves by adding the latent variable in both sequential and simultaneous estimation. There are significant differences in the sensitivity to the latent variable across alternatives. In general, as expected, the hybrid models show a major improvement into the goodness of fit of the model, compared to a classical discrete choice model that does not incorporate latent effects. The integrated model leads to a more detailed analysis of the behavioural process. Summarizing, the effect that built environment characteristics on trip frequency studied is deeply analyzed. In particular we tried to better understand how land use characteristics can be defined and measured and which of these measures do have really an impact on trip frequency. We also tried to test the superiority of HCM on this field. We can concluded that HCM shows a major improvement into the goodness of fit of the model, compared to classical discrete choice model that does not incorporate latent effects. And consequently, the application of HCM shows the importance of LV on the decision of tour complexity. People are more elastic to built environment attributes than level of services. Thus, policy implications must take place to develop more mixed areas, work-places in combination with commercial retails.

Urban built environment analysis: evidence from a mobility survey in Madrid

Applications involving travel behavior from the perspective of land use are dating from the 1990s. Usually, four important components are distinguished: density, diversity and design (3D?s of Cervero and Kockelman) and accessibility (introduced by Geurs and van Wee). But there is not a general agreement on how to measure each of those 4 components. Density is used to be measured as population and employment densities, but others authors separate population density between residential and building densities. A lot of measures have been developed to estimate diversity: among others, a dissimilarity index to indicate the degree to which different land uses lie within one another?s surrounding, an entropy index to quantify the degree of balance across various land use types or proximities to commercial-retail uses. Design has been characterized by site design, and dwelling and street characteristics. Lastly, accessibility has become a frequently used concept, but its meaning on travel behavior field always refers to the ability ?to reach activities or locations by means of a travel mode?, measured as accessibility to jobs, to leisure activities, and others. Furthermore, the previous evidence is mainly based on US data or on north European countries. Therefore, this paper adds some new evidence from a Spanish perspective to the research debate. Through a Madrid smartphone-based survey, factor analysis is used to linearly combine variables into the 3D?s and accessibility dimensions of the built environment. At a first step for future investigations, land use variables will be treated to define accurately the previous 4 components.

Towards an Active Design. An Approach on the Body Interaction with the Built Environment.

El impacto de la tecnología en el ambiente construido y en las actividades en él desarrolladas, es una de las causas de la progresiva sedentarización de la especie humana. Desde un enfoque que analiza la interacción del cuerpo con la arquitectura, a través de distintas referencias en escalas diversas, esta investigación intenta establecer la relación entre la evolución del ambiente pasivo y la sedentarización, proponiendo frente a un espacio mecanizado y digitalizado que disminuye la actividad física humana, la búsqueda de nuevos tipos de espacios arquitectónicos que promuevan el movimiento repercutiendo en el bienestar y la salud. Esta tesis estudia por tanto el impacto de la tecnología en el espacio, intentando aproximarse a estrategias que disminuyan el efecto pasivo y estimulen la actividad motora. Estas propuestas abarcan tanto la ciudad, como la edificación y el propio espacio doméstico afectando a los sistemas de circulación, a la configuración espacial y sobre todo a la incorporación de ”espacios activos”, en donde se contempla la posibilidad de un uso alternativo de la tecnología como un elemento positivo.

Future-Proofing: Seeking Resilience in the Historic Built Environment

Thesis (Master's)--University of Washington, 2016-06

The Relationship of Built Environment and Weather with Bike Share –Evidence from the Pronto Bike Share System in Seattle

Thesis (Master's)--University of Washington, 2016-06

Transforming Health: Emerging technology, the built environment and health behaviors

Thesis (Master's)--University of Washington, 2016-06

Human Mobility, Exposure to the Built Environment, and Health

Thesis (Ph.D.)--University of Washington, 2016-06

New trends in health architecture for children and the effects of the built environment on young patients

The objective of this thesis was to investigate the effects of the built environment on the outcome of young patients. This investigation included recent innovations in children's hospitals that integrated both medical and architectural case studies as part of their design issues. In addition, the intervention responded to man-made conditions and natural elements of the site. The thesis project, a Children's Rehabilitation Hospital, is located at 1500 N.W. River Drive in Miami, Florida. The thesis intervention emerged from a site analysis that focused on the shifting of the urban grid, the variation in scale of the immediate context and the visual-physical connection to the river's edge. Furthermore, it addressed the issues of overnight accommodation for patient's families, as well as sound control through the use of specific materials in space enclosures and open courtyards. The key to the success of this intervention lies in the special attention given to the integration between nature and the built environment. Issues such as the incorporation of nature within a building through the use of vistas and the exploitation of natural light through windows and skylights, were pivotal in the creation of a pleasant environment for visitors, employees and young patients.

Building connections: political participation, social capital and the built environment in St. John's, Newfoundland

How does where we live affect how we live? Do characteristics of the built environment affect the civic and social lives of the people living there? This study examines these questions at the neighbourhood scale in the Canadian city of St. John's, Newfoundland. To do so, it combines data from a survey measuring respondents' social capital (defined as a combination of social participation, social trust, and civic participation) and a "built environment audit" that records the built characteristics of each respondent's neighbourhood. The study finds a significant, positive relationship between the walkability of a neighbourhood and the social capital of the people living there. This relationship is driven primarily by the effect of the built environment on voluntary participation and relationships with neighbours. The study also tests several methods of measuring walkability, and finds that an objective measure based on street geometry is the best predictor of social capital.

Sound Art and Public Engagement in the Built Environment: Reflections from an Architecture Center

This article explores the deployment of sound in architectural-curatorial and community engagement contexts through the work of PLACE, a multidisciplinary not-for-profit architecture center in Belfast, Northern Ireland. The author, who worked with PLACE and contributed to the projects discussed here, contextualizes architecture centers and their relationship with sound before examining the specific case of sound and sound art in Northern Ireland and case studies of projects delivered by PLACE. Specifically, the article evaluates two sound installation artworks and three community engagement projects for young audiences. As a means of curating urbanism and architecture, sound-art-as-public-art affords useful strategies to examine, describe or critique the environment as alternatives to traditional architecture exhibition formats. Sound’s temporality and materiality allow sound art works to exist as temporary sculptural interventions in the urban sphere, with attendant implications for public art procurement and urban acoustics. Rich territories of engagement are opened when using sound in a community participatory context.

The effect of changing the built environment on physical activity: a quantitative review of the risk of bias in natural experiments.

BACKGROUND:
Evidence regarding the association of the built environment with physical activity is influencing policy recommendations that advocate changing the built environment to increase population-level physical activity. However, to date there has been no rigorous appraisal of the quality of the evidence on the effects of changing the built environment. The aim of this review was to conduct a thorough quantitative appraisal of the risk of bias present in those natural experiments with the strongest experimental designs for assessing the causal effects of the built environment on physical activity.

METHODS:
Eligible studies had to evaluate the effects of changing the built environment on physical activity, include at least one measurement before and one measurement of physical activity after changes in the environment, and have at least one intervention site and non-intervention comparison site. Given the large number of systematic reviews in this area, studies were identified from three exemplar systematic reviews; these were published in the past five years and were selected to provide a range of different built environment interventions. The risk of bias in these studies was analysed using the Cochrane Risk of Bias Assessment Tool: for Non-Randomized Studies of Interventions (ACROBAT-NRSI).

RESULTS:
Twelve eligible natural experiments were identified. Risk of bias assessments were conducted for each physical activity outcome from all studies, resulting in a total of fifteen outcomes being analysed. Intervention sites included parks, urban greenways/trails, bicycle lanes, paths, vacant lots, and a senior citizen's centre. All outcomes had an overall critical (n = 12) or serious (n = 3) risk of bias. Domains with the highest risk of bias were confounding (due to inadequate control sites and poor control of confounding variables), measurement of outcomes, and selection of the reported result.

CONCLUSIONS:
The present review focused on the strongest natural experiments conducted to date. Given this, the failure of existing studies to adequately control for potential sources of bias highlights the need for more rigorous research to underpin policy recommendations for changing the built environment to increase physical activity. Suggestions are proposed for how future natural experiments in this area can be improved.