As bicycle transportation has increased, especially among commuters, so have the types of bicycle infrastructure facilities increased. This report focuses on the application of several of these innovative bicycle infrastructure treatments in three different scenarios: shared-lane facilities, bicycle-specific facilities, and high-conflict area treatments. The focus treatments include the sharrow, Sharrow Bicycle Priority Lane, Green Bicycle Priority Lane, Bicycles May Use Full Lane sign, green bike lane, bike-box, green lane in a conflict area, and elephant's footprint markings. The goal of this report is to gather how well bicyclists understand their meaning, how they would use each, and which treatments are most preferred among bicyclists. Data for this study was gathered in the form of an online survey administered to 1000 bicyclists of varying levels and purposes from different regions of the country. The survey gathers general rider characteristics, asks how each bicyclist would use each treatment in different traffic speed and volume scenarios, and finally each respondent rates each of the treatments in order of preference. Using the survey results, the effectiveness of each treatment is analyzed in detail by different population segments of those surveyed. Bicyclist riding characteristics and route choice factors are also examined in detail to better understand the sampled population of riders. The results are discussed and conclusions to the effectiveness of each treatment are made.

A meta deste trabalho é propor um procedimento para identificar os fatores que influem no uso de bicicletas e apresentar a forma como estes fatores podem ser usados para avaliar e planejar a implantação de ciclovias e/ou ciclofaixas em uma área urbana. Para tanto, foi elaborado um método que consistiu, inicialmente, de obtenção de dados socioeconômicos e de viagens urbanas de locais dotados de ciclovias e/ou ciclofaixas disponíveis para a população e de contagens volumétricas de ciclistas antes e depois da implantação da infraestrutura cicloviária. Em seguida, foi realizado um experimento que consistiu de caracterização dos dados socioeconômicos, de viagens urbanas e de infraestrutura cicloviária, a partir das quais foi estimado um modelo de escolha discreta que possibilitou a identificação de fatores que influem no uso da bicicleta na RMBS e que serviu para quantificar a demanda cicloviária em pontos preestabelecidos. Através da construção de cenários antes e depois da implantação da infraestrutura cicloviária e da comparação entre contagens volumétricas de ciclistas da RMBS, realizadas em vários pontos da rede viária, e a estimação da demanda cicloviária nestes pontos usando o modelo de escolha discreta, concluiu-se que o modelo permite identificar e quantificar os fatores e a forma como eles interferem na demanda cicloviária e que, portanto, os resultados podem ser usados para avaliar e direcionar as intervenções no sistema de transportes com o intuito de facilitar o uso do modo bicicleta. / The main aim of this work is to propose a procedure to identify and quantify the factors that influence the use of bicycles and to present how these factors can be used to evaluate and plan the deployment of segregated bike lanes and/or cyclelanes in an urban area. For attaining the aims, a method was developed and consisted firstly in to obtain socioeconomic data and urban travel data in places equipped with segregated bike lanes and/or cyclelanes available to the population and with counts of cyclists before and after the implementation of cycling infrastructure. Then, an experiment was conducted which consisted of characterization of the socioeconomic data and urban trips and cycling infrastructure from which a discrete choice model was estimated that allowed the identification of factors that influence the use of bicycles in a RMBS and was used to quantify the cycling demand on predetermined points. By the construction of scenarios before and after the implementation of cycling infrastructure and the comparison between counts of cyclists in a RMBS and the estimation of cycling demand in these points using discrete choice model, the main conclusion of this work is that the model allow us to identify and quantify the factors and how they interfere in a cycling demand. Therefore the results can be used to evaluate and direct interventions in the transport system in order to facilitate use of bicycle mode.

A meta deste trabalho é propor um procedimento para identificar os fatores que influem no uso de bicicletas e apresentar a forma como estes fatores podem ser usados para avaliar e planejar a implantação de ciclovias e/ou ciclofaixas em uma área urbana. Para tanto, foi elaborado um método que consistiu, inicialmente, de obtenção de dados socioeconômicos e de viagens urbanas de locais dotados de ciclovias e/ou ciclofaixas disponíveis para a população e de contagens volumétricas de ciclistas antes e depois da implantação da infraestrutura cicloviária. Em seguida, foi realizado um experimento que consistiu de caracterização dos dados socioeconômicos, de viagens urbanas e de infraestrutura cicloviária, a partir das quais foi estimado um modelo de escolha discreta que possibilitou a identificação de fatores que influem no uso da bicicleta na RMBS e que serviu para quantificar a demanda cicloviária em pontos preestabelecidos. Através da construção de cenários antes e depois da implantação da infraestrutura cicloviária e da comparação entre contagens volumétricas de ciclistas da RMBS, realizadas em vários pontos da rede viária, e a estimação da demanda cicloviária nestes pontos usando o modelo de escolha discreta, concluiu-se que o modelo permite identificar e quantificar os fatores e a forma como eles interferem na demanda cicloviária e que, portanto, os resultados podem ser usados para avaliar e direcionar as intervenções no sistema de transportes com o intuito de facilitar o uso do modo bicicleta. / The main aim of this work is to propose a procedure to identify and quantify the factors that influence the use of bicycles and to present how these factors can be used to evaluate and plan the deployment of segregated bike lanes and/or cyclelanes in an urban area. For attaining the aims, a method was developed and consisted firstly in to obtain socioeconomic data and urban travel data in places equipped with segregated bike lanes and/or cyclelanes available to the population and with counts of cyclists before and after the implementation of cycling infrastructure. Then, an experiment was conducted which consisted of characterization of the socioeconomic data and urban trips and cycling infrastructure from which a discrete choice model was estimated that allowed the identification of factors that influence the use of bicycles in a RMBS and was used to quantify the cycling demand on predetermined points. By the construction of scenarios before and after the implementation of cycling infrastructure and the comparison between counts of cyclists in a RMBS and the estimation of cycling demand in these points using discrete choice model, the main conclusion of this work is that the model allow us to identify and quantify the factors and how they interfere in a cycling demand. Therefore the results can be used to evaluate and direct interventions in the transport system in order to facilitate use of bicycle mode.

El presente proyecto del curso de Desarrollo de Negocios 2 de la Universidad Peruana de Ciencias Aplicadas, consiste en la creación de un soporte de madera para bicicletas que serán elaboradas con tableros OSB que nos asegura una alta resistencia en los soportes. Cabe recalcar, que nos vamos a dirigir a Lima Metropolitana en los distritos de mayor población en el uso de bicicletas y que además cuentan con acceso de ciclovías, tales como Surco, La Molina, San Isidro, San Borja y Miraflores, asimismo nos dirigiremos a los sectores socioeconómicos A y B, con un rango de edad de los 18 hasta los 45 años. El proyecto es viable, puesto que según la entrevista a profundidad que se realizó, se identificó un gran porcentaje de personas que usan la bicicleta como medio de transporte; parte de ello, la investigación también indica que los usuarios tienen dificultades para guardar sus bicicletas ya que no cuentan con el espacio adecuado en sus hogares. Por un lado, para la puesta en marcha del proyecto se necesitará una inversión inicial de S/. 51,884 soles, que será financiado al 100% por los accionistas sin necesidad de ser financiado por entidades bancarias. A su vez, tenemos en cuenta que los meses Diciembre, Enero, Marzo y Julio tendremos ventas elevadas que demostrada que el negocio es rentable. Por otro lado, el área de marketing hará uso de la publicidad digital, para ello se empleará las herramientas web como Facebook, Google Adwords, Landing Page y Community Manager, que nos permita una mejor difusión del producto. La distribución será coordinada directamente con el cliente a través de las redes sociales; también es importante indicar que se contará con distribuidores externos tales como Maestro y Sodimac. / The present Project of the Business Development course 2 of the Peruvian University of Applied Sciences, consists in the creation of a wooden support for bicycles that will be made with OSB boards that ensures high resistance in the supports. It should be noted that we are going to head to Metropolitan Lima in the districts with the largest population in the use of bicycles and that also have access to bicycle paths, such as Surco, La Molina, San Isidro, San Borja and Miraflores, we will also go to socioeconomic sectors A and B, with an age range of 18 to 45 years. The project is viable, since according to the in-depth interview that was carried out, a large percentage of people who use the bicycle as a means of transportation was identified; Part of it, the research also indicates that users have difficulty storing their bikes as they do not have adequate space in their homes. On the one hand, for the start-up of the project an initial investment of S /. 51,884 soles, which will be financed 100% by shareholders without the need to be financed by banks. At the same time, we take into account that the months of December, January, March and July will have high sales, which has proven that the business is profitable. On the other hand, the marketing area will make use of digital advertising, for this we will use web tools such as Facebook, Google Adwords, Landing Page and Community Manager, which allows us to better disseminate the product. The distribution will be coordinated directly with the client through social networks; It is also important to indicate that there will be external distributors such as Maestro and Sodimac. / Trabajo de investigación