Epidemiology of leisure, transportation, occupational, and household physical activity: prevalence and associated factors

Background: To estimate the prevalence of and identify factors associated with physical activity in leisure, transportation, occupational, and household settings. Methods: This was a cross-sectional study aimed at investigating living and health conditions among the population of São Paulo, Brazil. Data on 1318 adults aged 18 to 65 years were used. To assess physical activity, the long version of the International Physical Activity Questionnaire was applied. Multivariate analysis was conducted using a hierarchical model. Results: The greatest prevalence of insufficient activity related to transportation (91.7%), followed by leisure (77.5%), occupational (68.9%), and household settings (56.7%). The variables associated with insufficient levels of physical activity in leisure were female sex, older age, low education level, nonwhite skin color, smoking, and self-reported poor health; in occupational settings were female sex, white skin color, high education level, self-reported poor health, nonsmoking, and obesity; in transportation settings were female sex; and in household settings, with male sex, separated, or widowed status and high education level. Conclusion: Physical activity in transportation and leisure settings should be encouraged. This study will serve as a reference point in monitoring different types of physical activities and implementing public physical activity policies in developing countries

Epidemiology of Leisure, Transportation, Occupational, and Household Physical Activity: Prevalence and Associated Factors

Background: To estimate the prevalence of and identify factors associated with physical activity in leisure, transportation, occupational, and household settings. Methods: This was a cross-sectional study aimed at investigating living and health conditions among the population of So Paulo, Brazil. Data on 1318 adults aged 18 to 65 years were used. To assess physical activity, the long version of the International Physical Activity Questionnaire was applied. Multivariate analysis was conducted using a hierarchical model. Results: The greatest prevalence of insufficient activity related to transportation (91.7%), followed by leisure (77.5%), occupational (68.9%), and household settings (56.7%). The variables associated with insufficient levels of physical activity in leisure were female sex, older age, low education level, nonwhite skin color, smoking, and self-reported poor health; in occupational settings were female sex, white skin color, high education level, self-reported poor health, nonsmoking, and obesity; in transportation settings were female sex; and in household settings, with male sex, separated, or widowed status and high education level. Conclusion: Physical activity in transportation and leisure settings should be encouraged. This study will serve as a reference point in monitoring different types of physical activities and implementing public physical activity policies in developing countries.

An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns

This paper aims to find relations between the socioeconomic characteristics, activity participation, land use patterns and travel behavior of the residents in the Sao Paulo Metropolitan Area (SPMA) by using Exploratory Multivariate Data Analysis (EMDA) techniques. The variables influencing travel pattern choices are investigated using: (a) Cluster Analysis (CA), grouping and characterizing the Traffic Zones (17), proposing the independent variable called Origin Cluster and, (b) Decision Tree (DT) to find a priori unknown relations among socioeconomic characteristics, land use attributes of the origin TZ and destination choices. The analysis was based on the origin-destination home-interview survey carried out in SPMA in 1997. The DT application revealed the variables of greatest influence on the travel pattern choice. The most important independent variable considered by DT is car ownership, followed by the Use of Transportation ""credits"" for Transit tariff, and, finally, activity participation variables and Origin Cluster. With these results, it was possible to analyze the influence of a family income, car ownership, position of the individual in the family, use of transportation ""credits"" for transit tariff (mainly for travel mode sequence choice), activities participation (activity sequence choice) and Origin Cluster (destination/travel distance choice). (c) 2010 Elsevier Ltd. All rights reserved.

Coordinated transportation of a large object by a team of three robots

Dynamical systems theory in this work is used as a theoretical language and tool to design a distributed control architecture for a team of three robots that must transport a large object and simultaneously avoid collisions with either static or dynamic obstacles. The robots have no prior knowledge of the environment. The dynamics of behavior is defined over a state space of behavior variables, heading direction and path velocity. Task constraints are modeled as attractors (i.e. asymptotic stable states) of the behavioral dynamics. For each robot, these attractors are combined into a vector field that governs the behavior. By design the parameters are tuned so that the behavioral variables are always very close to the corresponding attractors. Thus the behavior of each robot is controlled by a time series of asymptotical stable states. Computer simulations support the validity of the dynamical model architecture.

Coordinated transportation of a large object by a team of two robots

In this paper dynamical systems theory is used as a theoretical language and tool to design a distributed control architecture for a team of two robots that must transport a large object and simultaneously avoid collisions with obstacles (either static or dynamic). This work extends the previous work with two robots (see [1] and [5]). However here we demonstrate that it’s possible to simplify the architecture presented in [1] and [5] and reach an equally stable global behavior. The robots have no prior knowledge of the environment. The dynamics of behavior is defined over a state space of behavior variables, heading direction and path velocity. Task constrains are modeled as attractors (i.e. asymptotic stable states) of a behavioral dynamics. For each robot, these attractors are combined into a vector field that governs the behavior. By design the parameters are tuned so that the behavioral variables are always very close to the corresponding attractors. Thus the behavior of each robot is controlled by a time series of asymptotic stable states. Computer simulations support the validity of the dynamical model architecture.

Maritime transportation in the Gulf of Finland in 2007 and in 2015

The Gulf of Finland is said to be one of the densest operated sea areas in the world. It is a shallow and economically vulnerable sea area with dense passenger and cargo traffic of which petroleum transports have a share of over 50 %. The winter conditions add to the risks of maritime traffic in the Gulf of Finland. It is widely believed that the growth of maritime transportation will continue also in the future. The Gulf of Finland is surrounded by three very different national economies with, different maritime transportation structures. Finland is a country of high GDP/per capita with a diversified economic structure. The number of ports is large and the maritime transportation consists of many types of cargoes: raw materials, industrial products, consumer goods, coal and petroleum products, and the Russian transit traffic of e.g. new cars and consumer goods. Russia is a large country with huge growth potential; in recent years, the expansion of petroleum exports has lead to a strong economic growth, which is also apparent in the growth of maritime transports. Russia has been expanding its port activities in the Gulf of Finland and it is officially aiming to transport its own imports and exports through the Russian ports in the future; now they are being transported to great extend through the Finnish, Estonian and other Baltic ports. Russia has five ports in the Gulf of Finland. Estonia has also experienced fast economic growth, but the growth has been slowing down already during the past couples of years. The size of its economy is small compared to Russia, which means the transported tonnes cannot be very massive. However, relatively large amounts of the Russian petroleum exports have been transported through the Estonian ports. The future of the Russian transit traffic in Estonia looks nevertheless uncertain and it remains to be seen how it will develop and if Estonia is able to find replacing cargoes if the Russian transit traffic will come to an end in the Estonian ports. Estonia’s own import and export consists of forestry products, metals or other raw materials and consumer goods. Estonia has many ports on the shores of the Gulf of Finland, but the port of Tallinn dominates the cargo volumes. In 2007, 263 M tonnes of cargoes were transported in the maritime traffic in the Gulf of Finland, of which the share of petroleum products was 56 %. 23 % of the cargoes were loaded or unloaded in the Finnish ports, 60 % in the Russian ports and 17 % in the Estonian ports. The largest ports were Primorsk (74.2 M tonnes) St. Petersburg (59.5 M tonnes), Tallinn (35.9 M tonnes), Sköldvik (19.8 M tonnes), Vysotsk (16.5 M tonnes) and Helsinki (13.4 M) tonnes. Approximately 53 600 ship calls were made in the ports of the Gulf of Finland. The densest traffic was found in the ports of St. Petersburg (14 651 ship calls), Helsinki (11 727 ship calls) and Tallinn (10 614 ship calls) in 2007. The transportation scenarios are usually based on the assumption that the amount of transports follows the development of the economy, although also other factors influence the development of transportation, e.g. government policy, environmental aspects, and social and behavioural trends. The relationship between the development of transportation and the economy is usually analyzed in terms of the development of GDP and trade. When the GDP grows to a certain level, especially the international transports increase because countries of high GDP produce, consume and thus transport more. An effective transportation system is also a precondition for the economic development. In this study, the following factors were taken into consideration when formulating the future scenarios: maritime transportation in the Gulf of Finland 2007, economic development, development of key industries, development of infrastructure and environmental aspects in relation to maritime transportation. The basic starting points for the three alternative scenarios were: • the slow growth scenario: economic recession • the average growth scenario: economy will recover quickly from current instability • the strong growth scenario: the most optimistic views on development will realize According to the slow growth scenario, the total tonnes for the maritime transportation in the Gulf of Finland would be 322.4 M tonnes in 2015, which would mean a growth of 23 % compared to 2007. In the average growth scenario, the total tonnes were estimated to be 431.6 M tonnes – a growth of 64 %, and in the strong growth scenario 507.2 M tonnes – a growth of 93%. These tonnes were further divided into petroleum products and other cargoes by country, into export, import and domestic traffic by country, and between the ports. For petroleum products, the share of crude oil and oil products was estimated and the number of tanker calls in 2015 was calculated for each scenario. However, the future development of maritime transportation in the GoF is dependent on so many societal and economic variables that it is not realistic to predict one exact point estimate value for the cargo tonnes for a certain scenario. Plenty of uncertainty is related both to the degree in which the scenario will come true as well as to the cause-effect relations between the different variables. For these reasons, probability distributions for each scenario were formulated by an expert group. As a result, a range for the total tonnes of each scenario was formulated and they are as follows: the slow growth scenario: 280.8 – 363 M tonnes (expectation value 322.4 M tonnes)

Linking community variables to parenting behaviours and youth risk behaviours

The puq)ose of this thesis is to test a model Hnking community disadvantage and urbanicity factors to parenting variables (i.e., monitoring, warmth, and knowledge) and to youth risk behavior (i.e., substance use and delinquency), measured both concurrently and one year after the assessment of parenting variables. The model builds on the work of Fletcher, Steinberg, and Williams-Wheeler (2004) but a) includes a more comprehensive measure of SES than that conceptualized by Fletcher et al.; b) considers whether the role of community disadvantage is indirectly as well as directly linked to youth risk behavior, by way of its association with parenting variables; c) considers whether level of community urbanicity plays a direct role in predicting both parenting variables and risk behaviors, or whether its influence on risk behaviours is primarily indirect through parenting variables. Both community disadvantage and urbanicity had virtually no relation to parenting and risk behaviour variables. Results found for relations of parenting variables and risk behaviour were similar to Fletcher et al. Although urban youth are typically perceived as being more at risk for substance use and delinquency, no evidence was found for a distinction between urban and rural youth within this sample. Targeting risk behaviour prevention/reduction programs toward only urban youth, therefore, is not supported by these findings.

Investigating active transportation to and from school : identification of predictors and health benefits

Funding support for this doctoral thesis has been provided by the Canadian Institutes of Health Research-Public Health Agency of Canada, QICSS matching grant, and la Faculté des études supérieures et postdoctorales-Université de Montréal.

Scheduled service network design for integrated planning of rail freight transportation

Cette thèse étudie une approche intégrant la gestion de l’horaire et la conception de réseaux de services pour le transport ferroviaire de marchandises. Le transport par rail s’articule autour d’une structure à deux niveaux de consolidation où l’affectation des wagons aux blocs ainsi que des blocs aux services représentent des décisions qui complexifient grandement la gestion des opérations. Dans cette thèse, les deux processus de consolidation ainsi que l’horaire d’exploitation sont étudiés simultanément. La résolution de ce problème permet d’identifier un plan d’exploitation rentable comprenant les politiques de blocage, le routage et l’horaire des trains, de même que l’habillage ainsi que l’affectation du traffic. Afin de décrire les différentes activités ferroviaires au niveau tactique, nous étendons le réseau physique et construisons une structure de réseau espace-temps comprenant trois couches dans lequel la dimension liée au temps prend en considération les impacts temporels sur les opérations. De plus, les opérations relatives aux trains, blocs et wagons sont décrites par différentes couches. Sur la base de cette structure de réseau, nous modélisons ce problème de planification ferroviaire comme un problème de conception de réseaux de services. Le modèle proposé se formule comme un programme mathématique en variables mixtes. Ce dernie r s’avère très difficile à résoudre en raison de la grande taille des instances traitées et de sa complexité intrinsèque. Trois versions sont étudiées : le modèle simplifié (comprenant des services directs uniquement), le modèle complet (comprenant des services directs et multi-arrêts), ainsi qu’un modèle complet à très grande échelle. Plusieurs heuristiques sont développées afin d’obtenir de bonnes solutions en des temps de calcul raisonnables. Premièrement, un cas particulier avec services directs est analysé. En considérant une cara ctéristique spécifique du problème de conception de réseaux de services directs nous développons un nouvel algorithme de recherche avec tabous. Un voisinage par cycles est privilégié à cet effet. Celui-ci est basé sur la distribution du flot circulant sur les blocs selon les cycles issus du réseau résiduel. Un algorithme basé sur l’ajustement de pente est développé pour le modèle complet, et nous proposons une nouvelle méthode, appelée recherche ellipsoidale, permettant d’améliorer davantage la qualité de la solution. La recherche ellipsoidale combine les bonnes solutions admissibles générées par l’algorithme d’ajustement de pente, et regroupe les caractéristiques des bonnes solutions afin de créer un problème élite qui est résolu de facon exacte à l’aide d’un logiciel commercial. L’heuristique tire donc avantage de la vitesse de convergence de l’algorithme d’ajustement de pente et de la qualité de solution de la recherche ellipsoidale. Les tests numériques illustrent l’efficacité de l’heuristique proposée. En outre, l’algorithme représente une alternative intéressante afin de résoudre le problème simplifié. Enfin, nous étudions le modèle complet à très grande échelle. Une heuristique hybride est développée en intégrant les idées de l’algorithme précédemment décrit et la génération de colonnes. Nous proposons une nouvelle procédure d’ajustement de pente où, par rapport à l’ancienne, seule l’approximation des couts liés aux services est considérée. La nouvelle approche d’ajustement de pente sépare ainsi les décisions associées aux blocs et aux services afin de fournir une décomposition naturelle du problème. Les résultats numériques obtenus montrent que l’algorithme est en mesure d’identifier des solutions de qualité dans un contexte visant la résolution d’instances réelles.

Assessing inequities in active transportation : does the effect of walkable built environments vary according to neighbourhood socioeconomic status?

Certains chercheurs veulent que les gouvernements modifient les déterminants de l’environnement urbain du transport actif dans des régions à bas statut socioéconomique pour réduire les inégalités en activité physique et santé. Mais, des individus de différents sousgroupes de la population pourraient réagir différemment à l’environnement urbain. Plusieurs chercheurs ont examiné si l’influence d’un environnement urbain propice aux piétons sur le transport actif diffère entre les personnes ayant un statut socioéconomique de quartier différent et ont obtenu des résultats mixtes. Ces résultats équivoques pourraient être dus à la façon dont les mesures de l’environnement urbain étaient déterminées. Plus spécifiquement, la plupart des études ont examiné l’effet de la propicité à la marche des lieux résidentiels et n’ont pas pris en compte les destinations non-résidentielles dans leurs mesures. Cette étude a examiné le statut socioéconomique du quartier comme modérateur de la relation entre l’environnement urbain et le transport actif en utilisant des mesures d’environnement urbain qui proviennent de toute la trajectoire spatiale estimé des individus. Les trois variables de l’environnement urbain, la connectivité, la densité des commerces et services et la diversité du territoire avaient une plus grande influence sur le transport actif de ceux avec un haut statut socioéconomique. Nos résultats suggèrent que même quand la configuration de l’environnement urbain est favorable pour le transport actif, il peut y avoir des barrières sociales ou physiques qui empêchent les gens qui habitent dans un quartier à bas statut socioéconomique de bénéficier d’un environnement urbain favorable au transport actif.

Contribució al coneixement de variables geoambientals en l'àmbit de la Costa Brava (Girona)

La tesi doctoral desenvolupada, emmarcada dins del camp de les Ciències Ambientals, aplica la Geologia Ambiental orientada al coneixement dels processos i recursos geològics de cara a la planificació i a l'ordenació del territori. Com a zona d'estudi s'ha seleccionat la Costa Brava meridional, concretament tota l'àrea litoral compresa per les conques hidrogràfiques de l'Aubi, riera de Calonge, Ridaura, riera de Tossa i riera de Lloret (75 km de línia de costa i una extensió de 291 km2). Aquest treball, amb l'aptitud integradora dels conceptes i mètodes propis de les Ciències Geològiques i Ambientals, s'ha proposat com a objectius globals l'anàlisi de la qualitat i del comportament físic i químic dels materials terrestres en front les accions humanes i de la seva utilització com a recursos; l'estudi dels processos naturals i de la influència que puguin tenir sobre l'home o bé els efectes que aquest pot causar sobre aquells, i per últim, com a derivació dels anteriors, el disseny i aplicació d'instruments de tipus preventiu en la gestió del territori; és a dir, la planificació dels usos del territori. Amb la filosofia de recerca basada en que els factor geològics són uns elements d'ajuda per a la visió integral d'un territori, s'han estudiat diferents variables geoambientals procurant traduir el coneixement del medi en informació apta per a la presa de decisions sobre l'ús i preservació d'aquest àmbit litoral. Els Sistemes d'Informació Geogràfica (SIG) han estat clau per a la visió sistèmica del territori, per a la integració de les diferents variables geoambientals, així com per a la producció cartogràfica temàtica i final. Pel que fa als processos geològics, lligats a la dinàmica fluviotorrencial, s'han cartografiat les principals àrees d'actuació així com analitzat els factors que inicien, afavoreixen o magnifiquen la seva ocurrència. S'han estudiat les accions denudatives, els processos de transport-sedimentació i amb l'estudi integrat d'aquests processos i formes resultants s'han identificat unitats territorials caracteritzades per un comportament geomòrfic uniforme. En quant a l'anàlisi dels recursos geològics s'ha aprofundit en el coneixement dels recursos hídrics subterranis, les roques industrials i els georecursos litorals. Pel que fa als primers s'ha centrat en la delimitació de les principals unitats i subunitats aqüíferes, així com en acotar les geometries i principals característiques hidràuliques. Pel que fa als àrids i roques de construcció l'objectiu fonamental ha estat la delimitació cartogràfica d'aquells materials que per les seves propietats fisicoquímiques són potencialment aptes per als usos indicats. Finalment s'ha fet una recerca orientada a l'estudi de factors que limiten o condicionen el potencial geoturístic d'aquesta àrea litoral, concretament en els penya-segats i les platges. Les principals aportacions d'aquesta tesi doctoral es poden emmarcar en l'àmbit regional i fenomenològic, aspectes clau en la gestió i planificació territorial. Pel que fa al primer, destaquem l'aportació de dades geoambientals a nivell cartogràfic en relació a variables litoestructurals, de processos dinàmics com de recursos geològics. Des del punt de vista de l'àmbit fenomenològic destaquem la interacció de les variables estudiades a nivell de conca hidrogràfica, com són, entre d'altres, les relacions existents entre les diferents formacions aqüíferes; la possible participació de les aigües subterrànies en la resposta hidrològica del sistema fluviotorrencial, o la problemàtica derivada de l'antropització de la sorra de la platja com a conseqüència d'abocaments de terres i residus inerts als marges de les rieres.

A mass-transportation approach to a one dimensional fluid mechanics model with nonlocal velocity

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Urban sprawl and energy use for transportation in the largest Brazilian cities

A study of the relationships between the amount of energy consumed for transportation purposes and a few selected variables related to urban form and socioeconomic characteristics of some of the largest Brazilian cities is conducted in this work. The studied cities include all 27 state capitals regardless of their size and population and 184 urban areas each with more than 20,000 inhabitants located in the state of São Paulo. Two different techniques were applied for data analyses: a more traditional regression analysis approach and artificial neural networks. In general, the results found in the analyses conducted here support the assumption that urban sprawl increases the energy use for transportation. In the case of the 27 state capitals, the analysis indicated that two spatial variables have a strong impact on the energy consumed for urban transportation: urban density and the ratio between the longest distances in the east-west and north-south directions. In the case of the 184 urbanized areas we also reached a similar conclusion. In that case, however, income and employment level apparently have a stronger influence on the amount of energy consumed. The results of the present study stress the importance of physical planning in developing country cities in order to reduce energy use for transportation. © 2007 International Energy Initiative, Inc.

GIS-based analytical tools for transport planning: spatial regression models for transportation demand forecast

Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial autocorrelation, spatial dependence patterns should be incorporated in the models, since that dependence may affect the predictive power of these models. The results obtained with the spatial regression models were also compared with the results of a multiple linear regression model that is typically used in trips generation estimations. The findings support the hypothesis that the inclusion of spatial effects in regression models is important, since the best results were obtained with alternative models (spatial regression models or the ones with spatial variables included). This was observed in a case study carried out in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil, in the stages of specification and calibration of the models, with two distinct datasets.

Transportation theory and planning

The aim of this research is to analyze the transport system and its subcomponents in order to highlight which are the design tools for physical and/or organizational projects related to transport supply systems. A characteristic of the transport systems is that the change of their structures can recoil on several entities, groups of entities, which constitute the community. The construction of a new infrastructure can modify both the transport service characteristic for all the user of the entire network; for example, the construction of a transportation infrastructure can change not only the transport service characteristics for the users of the entire network in which it is part of, but also it produces economical, social, and environmental effects. Therefore, the interventions or the improvements choices must be performed using a rational decision making approach. This approach requires that these choices are taken through the quantitative evaluation of the different effects caused by the different intervention plans. This approach becomes even more necessary when the decisions are taken in behalf of the community. Then, in order to understand how to develop a planning process in Transportation I will firstly analyze the transport system and the mathematical models used to describe it: these models provide us significant indicators which can be used to evaluate the effects of possible interventions. In conclusion, I will move on the topics related to the transport planning, analyzing the planning process, and the variables that have to be considered to perform a feasibility analysis or to compare different alternatives. In conclusion I will perform a preliminary analysis of a new transit system which is planned to be developed in New York City.