Este trabalho teve como objetivo analisar a demanda potencial para um sistema de compartilhamento de bicicletas pedelecs no campus da USP de São Carlos, com foco nos deslocamentos de estudantes entre as duas áreas do campus. Para tanto, foi elaborado um conjunto de procedimentos, que constituem duas etapas: caracterização do público-alvo e análise da demanda potencial pelas bicicletas pedelecs compartilhadas. Na primeira etapa foi aplicado um questionário, elaborado com a técnica de preferência declarada, para verificar as preferências dos usuários em relação às pedelecs compartilhadas e ao ônibus operado pela USP. Os resultados desta consulta, que envolveu variáveis de condições meteorológicas, situação de ciclovias/ciclofaixas entre as áreas do campus e lotação do ponto de ônibus USP, foram posteriormente utilizados para calibrar um modelo logit e treinar uma Rede Neural Artificial (RNA). Na segunda etapa foi elaborada uma planilha eletrônica com os dados obtidos na coleta, a fim de analisar as probabilidades de escolha da pedelec (ao invés do ônibus USP). Nesta planilha também foram utilizados dados do histórico meteorológico de São Carlos no período entre 2011 e 2015. Alguns dos resultados obtidos são destacados na sequência. A probabilidade de escolha das pedelecs é, em média, três vezes maior quando existem ciclovias/ciclofaixas (em relação à ausência da referida infraestrutura cicloviária). A ocupação do ponto de ônibus USP também é impactante, pois as probabilidades de uso da bicicleta pedelec praticamente dobram quando o ponto está cheio. No caso da meteorologia, foi constatado que as maiores probabilidades ocorrem no Outono e no Inverno, ou seja, nas épocas em que se concentram os dias mais secos e com menores temperaturas. Para o período letivo de 2011 a 2015, considerando a situação atual (isto é, sem ciclovias/ciclofaixas entre as áreas), os valores de probabilidade de uso da pedelec correspondem a 9% com o ponto vazio e 19% com o ponto cheio. Se houvesse ciclovias/ciclofaixas, a probabilidade seria de até 54%. Desse modo, a estratégia de análise desenvolvida conceitualmente, bem como implantada em planilha eletrônica, se constitui em importante ferramenta de auxílio para a condução da política de transportes que a Prefeitura do campus irá adotar para os anos futuros. Além disso, evidencia uma possível demanda potencial para um sistema com pedelecs compartilhadas. / The objective of this study was to analyze the potential demand for a pedelec sharing system at the São Carlos campus of the University of São Paulo (USP), aiming at the displacements of students between the two campus Areas. The set of procedures developed to reach the objective has involved two steps: characterization of the target audience and analysis of the potential demand for shared pedelecs. The first step was accomplished with a questionnaire designed with a stated preference approach for identifying users\' preferences regarding shared pedelecs and the bus system operated by the university. The survey results, which involved variables of weather conditions, existence of bike paths/bike lanes between the campus Areas, and occupancy rates at the USP bus stop, were subsequently used to calibrate a logit model and to develop an Artificial Neural Network (ANN). The survey data were also used in the second step of the process, in which an electronic spreadsheet was created to analyze the probabilities of choosing the pedelec alternative (instead of the bus route operated by university). The spreadsheet was also fed with meteorological data of São Carlos in the period between 2011 and 2015. Some of the obtained outcomes are highlighted in the sequence. The probability of a pedelec being chosen is almost three times higher if bike paths/bike lanes do exist than if they do not exist. The occupancy rates of the bus stop are also particularly relevant. The probability of someone choosing a pedelec nearly doubles when the bus stop is crowded. Regarding the weather conditions, the highest probabilities are observed in the Fall and Winter seasons, i. e. in the driest and coldest days. For the entire academic period comprised between 2011 and 2015, the probabilities range from 9% (empty bus stop) to 19% (full bus stop), considering the current situation (i. e. no cycleways connect the two campus Areas). In the presence of this cycling infrastructure, however, the probability goes up to 54%. Thus, the strategy of analysis conceptually developed, and made available through an electronic spreadsheet, may be an important support tool for the implementation of transport policies by the campus administration. In addition, it highlights a likely potential demand for a system of shared pedelecs.

Background Bikesharing is a versatile intervention, that enables cheap and convenient cycling for urban populations, and according to recent literature, has a positive impact on health, safety and the economy. Many of these impacts are based on the assumption of a modal shift induced by bikesharing, i.e. implementing a Bicycle Sharing System (BSS) will increase population cycling. However, the evidence is inconclusive. The aim of this study was to evaluate if the intervention of implementing a BSS increases cycling. The study was conducted using bicycle count data from Helsinki between 2014 to 2018. Methods A controlled interrupted time series design was used in combination with segmented regression as the method. An intervention series and a control series were analysed separately. The slopes (trend) and intercepts (level) of pre-intervention (2014&2015) segments were compared with post-intervention segments (2016-2018). The same analysis was performed in both intervention series and control series.  ResultsThe results from the intervention series showed an increase of 105% in the level of the outcome after the implementation of the intervention. Simultaneously, the control series showed that the underlying trend of cycling remained largely unchanged during the whole study period (level increased by 3%). Stratified analysis supported these results in both intervention and control series.   Conclusion The analysis of the intervention series revealed, that the level of the outcome increased sharply after the intervention, implying that the intervention had an immediate effect. However, the lack of statistical significance in the analysis of the slopes made it impossible to determine if the effect was sustained.

Submitted by SBI Biblioteca Digital (sbi.bibliotecadigital@puc-campinas.edu.br) on 2017-03-13T11:41:07Z No. of bitstreams: 1 FERNANDO HENRIQUE SILVA RIBEIRO.pdf: 5154598 bytes, checksum: 867c7a891e599c9bd9e1381c69482488 (MD5) / Made available in DSpace on 2017-03-13T11:41:07Z (GMT). No. of bitstreams: 1 FERNANDO HENRIQUE SILVA RIBEIRO.pdf: 5154598 bytes, checksum: 867c7a891e599c9bd9e1381c69482488 (MD5) Previous issue date: 2017-01-23 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / Pontif?cia Universidade Cat?lica de Campinas ? PUC Campinas / This study has evaluated the condition of the urban mobility in the city of Campinas, Paulo, Brazit. through the application of the tool Index of Sustainable Urban Mobi!?ty (I_SUM), enabling the identification of criticai indicators of urban mobility that should be prioritized by the public administration. Throughout the development of the study, the results of the application of the tool were cornplemented with the analysis of the urban expansion pattern to verify its influence on the city's travei behaviour in order to establ?sh a correlation between expansion and urban mobility. The definition of the urban mobility scenario for Campinas allowed to determine how the guidelines establ?shed until then influenced rnobitity, as well as to enable the identification of criticai indicators that more broadly address the guidelines regarding mobllity, complementing the guidelines defined by the public administration. It was to identify, in Campinas, an evident dependence on the use of cars, as a result of the settlement pattern, which requires the car for travelinq, since there is no prioritization of collective transportation, in addition to the incentive to acquire cars. The cross-checking of the data showed the dose relationship that urban planning and transportation system planning should have in order to harmonize the relationship between settlement patterns and travei behaviour, highlighting the role of prioritization of collective medes and non-rnotorized medes, in order to democratize access to urban space. / O estudo avaliou a condi??o da mobilidade urbana em Campinas atrav?s da aplica??o da ferramenta IMUS (?ndice de Mobilidade Urbana Sustent?vel), possibilitando a identifica??o dos indicadores cr?ticos da mobilidade urbana que devem ser priorizados pela administra??o p?blica. Ao longo do desenvolvimento do trabalho. os resultados da aplica??o da ferramenta foram complementados com a an?lise do padr?o de expans?o urbana de Campinas para verificar sua influ?ncia no padr?o de deslocamento da cidade, a fim de estabelecer uma correla??o entre expans?o e mobilidade urbana. A defini??o do panorama de mobilidade urbana para Campinas permitiu determinar como as diretrizes at? ent?o estabelecidas influenciaram na mobilidade, al?m de possibilitar a identifica??o de indicadores cr?ticos, que abordam de forma mais ampla as diretrizes em rela??o a mobilidade, complementando as diretrizes definidas pela administra??o p?blica. Foi poss?vel identificar, em Campinas, uma evidente depend?ncia do uso do autom?vel, tanto em decorr?ncia do padr?o de ocupa??o, que exige o autom?vel para deslocamentos, uma vez que n?o existe uma prioriza??o do transporte coletivo. tanto pelos incentivos para aquisi??o do autom?vel. O cruzamento dos dados permitiu evidenciar a estreita rela??o que o planejamento urbano e o planejamento do sistema de transporte devem ter para harmonizar a rela??o entre os padr?es de assentamento e os padr?es de deslocamento, democratizando o acesso ao espa?o urbano.

To meet the ambitious goals of carbon neutrality by 2050 that the European Union has set for itself, urban mobility is going to have to contribute much more to the overall reduction of greenhouse emissions. Sustainable Urban Mobility Plans (SUMPs) are the latest policy of choice coming from the European Commission set to deal with this issue. Interdisciplinary and based on best practices, this holistic transport strategy focuses on people, both as stakeholders in the planning process and as its ultimate beneficiaries. Although successful and popular, the take up process of these policies has been rather uneven across European cities. This paper attempts to uncover what possibly influences decision makers in small and medium sized European cities to adopt a SUMP, via binomial logistic regression on a large subset of cities (296) in 12 EU countries. The findings suggest that cities, which are in geographic proximity to an award-winning city, that have in their vicinity a higher education institution and that have continuously participated in European Mobility Week events, exemplify a higher likelihood to adopt a SUMP. Additionally, we differentiate between city networks, by grouping them as a "commitment" network and a "project" network. The findings indicate that, "commitment" networks have no...