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Sebastián Raveau,
Juan de Dios Ortuzar,
and
Luis Ignacio Rizzi
¿Cuántos viajan? ¿Por dónde? ¿En qué modo?
En general, los proyectos de transporte (tanto de infraestructura como gestión) poseen plazos y costos de realización sumamente elevados. Por estos motivos, la evaluación de este tipo de proyectos requiere de una adecuada estimación de la demanda para su correcto dimensionamiento.
En este curso aprenderás:
- Las técnicas básicas (estadísticas y de trabajo en terreno) necesarias para recolectar información adecuada, corregirla y expandirla, para su utilización en modelar la demanda por transporte.
Read more
¿Cuántos viajan? ¿Por dónde? ¿En qué modo?
En general, los proyectos de transporte (tanto de infraestructura como gestión) poseen plazos y costos de realización sumamente elevados. Por estos motivos, la evaluación de este tipo de proyectos requiere de una adecuada estimación de la demanda para su correcto dimensionamiento.
En este curso aprenderás:
- Las técnicas básicas (estadísticas y de trabajo en terreno) necesarias para recolectar información adecuada, corregirla y expandirla, para su utilización en modelar la demanda por transporte.
Read more
¿Cuántos viajan? ¿Por dónde? ¿En qué modo?
En general, los proyectos de transporte (tanto de infraestructura como gestión) poseen plazos y costos de realización sumamente elevados. Por estos motivos, la evaluación de este tipo de proyectos requiere de una adecuada estimación de la demanda para su correcto dimensionamiento.
En este curso aprenderás:
- Las técnicas básicas (estadísticas y de trabajo en terreno) necesarias para recolectar información adecuada, corregirla y expandirla, para su utilización en modelar la demanda por transporte.
- Los principios básicos y las técnicas clásicas utilizadas en la práctica para modelar la demanda de transporte a través del “modelo clásico” de cinco etapas: generación de viajes, distribución de viajes, elección de horario, elección de modo de transporte, y elección de ruta de viaje.
- Las herramientas básicas disponibles para calibrar los principales modelos agregados de demanda por transporte y aplicarlos para efectuar predicciones.
- Las herramientas estadísticas y computacionales básicas para estimar dos modelos paradigmáticos de elección discreta (Logit Multinomial y Logit Jerárquico) utilizando información a nivel desagregado, y aplicarlos para efectuar predicciones.
Register for this course and see more details by visiting:
OpenCourser.com/course/hm2mll/introduccion
What's inside
Syllabus
Introducción a los Modelos de Demanda de Transporte
En este módulo presentaremos las problemáticas de transporte urbano, los distintos enfoques de solución, el impacto de otras políticas externas al transporte, una estructura general de modelación de transporte, la planificación y seguimiento de estos modelos.
Read more
Syllabus
Introducción a los Modelos de Demanda de Transporte
En este módulo presentaremos las problemáticas de transporte urbano, los distintos enfoques de solución, el impacto de otras políticas externas al transporte, una estructura general de modelación de transporte, la planificación y seguimiento de estos modelos.
Read more
Metodologías de Recolección de Información
En este módulo presentaremos las distintas metodologías para la recolección de información.
Modelos de Generación y Atracción de Viajes
En este módulo estudiaremos los modelos de generación y atracción de viajes.
Modelos Agregados de Elección de Destino y Modo de Viaje
En este módulo aprenderás sobre los modelos agregados de elección de destino y modo de viaje.
Modelos Desagregados de Elección Discreta
En este módulo aprenderás sobre los modelos desagregados de elección discreta.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Desarrolla habilidades básicas para recopilar, corregir y expandir datos de demanda de transporte, esenciales para la planificación de proyectos
Proporciona una base sólida para comprender los principios de modelado de demanda de transporte
Enseña técnicas clásicas y herramientas estadísticas para predecir la demanda de transporte a través del modelo de cinco etapas
Impartido por expertos reconocidos en modelado de demanda de transporte: Sebastián Raveau, Juan de Dios Ortuzar y Luis Ignacio Rizzi
Ofrece una descripción general completa de las metodologías de modelado de transporte, desde la recolección de datos hasta la predicción de la demanda
Puede requerir conocimientos previos en estadística y modelado
Save this course
Save Introducción a los modelos de demanda de transporte to your list so you can find it easily later:
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Reviews summary
Comprehensive intro to transport demand modeling
This course is a solid introduction to basic and intermediate transport demand modeling techniques. The course's presentation style is engaging and easy to understand, even for people with minimal background in statistics. It provides a foundational understanding of various approaches to demand modeling and their practical applications.
Emphasizes practical applications of demand modeling
"The course focuses on the practical applications of demand modeling."
Suitable for beginners with minimal statistics knowledge
"It's a great starting point for those with a basic understanding of statistics."
Well-structured and easy-to-follow
"The course is well-structured and the explanations are clear and concise."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introducción a los modelos de demanda de transporte with these
activities:
Review statistics and probability concepts
Show steps
Familiarize yourself with statistical and probabilistic concepts to strengthen your understanding of transportation models.
Browse courses on
Statistics
Show steps
-
Review basic statistical concepts such as mean, median, and standard deviation.
-
Refresh your knowledge of probability distributions, including binomial, normal, and Poisson distributions.
Review probability theory
Show steps
A foundational understanding of probability theory is required to succeed in this course.
Browse courses on
Probability Theory
Show steps
-
Review concepts of probability spaces, random variables, and probability distributions.
-
Practice solving problems involving conditional probability and Bayes' theorem.
Review statistics
Show steps
Refresh your knowledge of statistics to ensure you have a strong foundation for this course.
Browse courses on
Statistics
Show steps
-
Review key concepts such as mean, median, and standard deviation.
-
Practice solving basic statistical problems involving hypothesis testing and regression analysis.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Form study groups with classmates
Show steps
Collaborative learning can enhance your understanding of the course material.
Show steps
-
Reach out to classmates and form study groups.
-
Meet regularly to discuss course material, work on assignments, and prepare for exams.
Participate in study groups with classmates
Show steps
Enhance your understanding and critical thinking skills by discussing course concepts with peers.
Show steps
-
Form or join a study group with classmates who have diverse perspectives and strengths.
-
Meet regularly to discuss the course material, share insights, and work on assignments together.
-
Take turns presenting key concepts and leading discussions.
Follow tutorials on transportation modeling software
Show steps
Gain proficiency in using transportation modeling software to enhance your ability to apply concepts learned in class.
Show steps
-
Identify reputable tutorials for the specific software used in the course.
-
Follow the tutorials step-by-step and complete the exercises provided.
-
Apply what you learn in the tutorials to the course assignments and projects.
Follow tutorials on using statistical software
Show steps
This course heavily relies on statistical software for data analysis and modeling.
Browse courses on
Statistical Software
Show steps
-
Find tutorials on using statistical software packages like R or Python.
-
Follow along with the tutorials to learn how to perform basic statistical operations.
-
Practice using the software to analyze real-world data.
Solve practice problems on transportation models
Show steps
Reinforce your understanding of transportation models by solving practice problems.
Browse courses on
Mathematical Modeling
Show steps
-
Find practice problems in the course materials, textbooks, or online resources.
-
Solve the problems independently, showing all your work.
-
Check your answers against the provided solutions or discuss them with the instructor or classmates.
Attend conferences and workshops related to transportation modeling
Show steps
Networking with professionals in the field can provide valuable insights and career opportunities.
Show steps
-
Search for conferences and workshops related to transportation modeling.
-
Register and attend the events.
-
Network with other attendees and learn about their work.
-
Follow up with potential mentors or collaborators.
Attend a workshop on transportation modeling case studies
Show steps
Gain practical insights into the application of transportation modeling by attending a workshop.
Show steps
-
Identify and register for a workshop that aligns with the course content.
-
Attend the workshop and actively participate in discussions and exercises.
-
Connect with professionals in the field and learn about real-world applications of transportation modeling.
Solve practice problems on transportation modeling techniques
Show steps
Regular practice is crucial for mastering the technical skills required in this course.
Browse courses on
Traffic Simulation
Show steps
-
Find practice problems from textbooks, online resources, or past exams.
-
Set aside dedicated time to solve the problems.
-
Review your solutions and identify areas for improvement.
Create a presentation on a specific transportation modeling technique
Show steps
Deepen your understanding of a specific transportation modeling technique by presenting it to others.
Show steps
-
Choose a transportation modeling technique covered in the course.
-
Research the technique thoroughly, including its strengths, limitations, and applications.
-
Create a clear and engaging presentation that explains the technique and provides examples.
-
Practice your presentation and receive feedback from peers or the instructor.
-
Present your findings to the class.
Develop a data visualization project
Show steps
This course emphasizes the importance of effectively communicating data insights through visualization.
Browse courses on
Data Visualization
Show steps
-
Identify a real-world dataset that you are interested in.
-
Use statistical software to clean and explore the data.
-
Create visualizations that effectively convey the key findings from your data analysis.
-
Present your project to others and gather feedback.
Create a blog post or article on a transportation modeling topic
Show steps
Explaining concepts to others can reinforce your own understanding.
Show steps
-
Choose a transportation modeling topic that you are familiar with.
-
Research the topic and gather information from credible sources.
-
Write a clear and concise blog post or article that explains the topic.
-
Share your blog post or article with others.
Design and implement a transportation model for a real-world scenario
Show steps
Applying your knowledge to a real-world scenario will solidify your understanding of transportation modeling concepts.
Show steps
-
Identify a real-world transportation problem that you want to address.
-
Collect data and conduct analysis to understand the problem.
-
Design and implement a transportation model to address the problem.
-
Validate and evaluate the model.
-
Present your findings and recommendations.
Review statistics and probability concepts
Show steps
Familiarize yourself with statistical and probabilistic concepts to strengthen your understanding of transportation models.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review basic statistical concepts such as mean, median, and standard deviation.
- Refresh your knowledge of probability distributions, including binomial, normal, and Poisson distributions.
Review probability theory
Show steps
A foundational understanding of probability theory is required to succeed in this course.
Browse courses on
Probability Theory
Show steps
Show steps
Show steps
- Review concepts of probability spaces, random variables, and probability distributions.
- Practice solving problems involving conditional probability and Bayes' theorem.
Review statistics
Show steps
Refresh your knowledge of statistics to ensure you have a strong foundation for this course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review key concepts such as mean, median, and standard deviation.
- Practice solving basic statistical problems involving hypothesis testing and regression analysis.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Form study groups with classmates
Show steps
Collaborative learning can enhance your understanding of the course material.
Show steps
Show steps
Show steps
- Reach out to classmates and form study groups.
- Meet regularly to discuss course material, work on assignments, and prepare for exams.
Participate in study groups with classmates
Show steps
Enhance your understanding and critical thinking skills by discussing course concepts with peers.
Show steps
Show steps
Show steps
- Form or join a study group with classmates who have diverse perspectives and strengths.
- Meet regularly to discuss the course material, share insights, and work on assignments together.
- Take turns presenting key concepts and leading discussions.
Follow tutorials on transportation modeling software
Show steps
Gain proficiency in using transportation modeling software to enhance your ability to apply concepts learned in class.
Show steps
Show steps
Show steps
- Identify reputable tutorials for the specific software used in the course.
- Follow the tutorials step-by-step and complete the exercises provided.
- Apply what you learn in the tutorials to the course assignments and projects.
Follow tutorials on using statistical software
Show steps
This course heavily relies on statistical software for data analysis and modeling.
Browse courses on
Statistical Software
Show steps
Show steps
Show steps
- Find tutorials on using statistical software packages like R or Python.
- Follow along with the tutorials to learn how to perform basic statistical operations.
- Practice using the software to analyze real-world data.
Solve practice problems on transportation models
Show steps
Reinforce your understanding of transportation models by solving practice problems.
Browse courses on
Mathematical Modeling
Show steps
Show steps
Show steps
- Find practice problems in the course materials, textbooks, or online resources.
- Solve the problems independently, showing all your work.
- Check your answers against the provided solutions or discuss them with the instructor or classmates.
Attend conferences and workshops related to transportation modeling
Show steps
Networking with professionals in the field can provide valuable insights and career opportunities.
Show steps
Show steps
Show steps
- Search for conferences and workshops related to transportation modeling.
- Register and attend the events.
- Network with other attendees and learn about their work.
- Follow up with potential mentors or collaborators.
Attend a workshop on transportation modeling case studies
Show steps
Gain practical insights into the application of transportation modeling by attending a workshop.
Show steps
Show steps
Show steps
- Identify and register for a workshop that aligns with the course content.
- Attend the workshop and actively participate in discussions and exercises.
- Connect with professionals in the field and learn about real-world applications of transportation modeling.
Solve practice problems on transportation modeling techniques
Show steps
Regular practice is crucial for mastering the technical skills required in this course.
Browse courses on
Traffic Simulation
Show steps
Show steps
Show steps
- Find practice problems from textbooks, online resources, or past exams.
- Set aside dedicated time to solve the problems.
- Review your solutions and identify areas for improvement.
Create a presentation on a specific transportation modeling technique
Show steps
Deepen your understanding of a specific transportation modeling technique by presenting it to others.
Show steps
Show steps
Show steps
- Choose a transportation modeling technique covered in the course.
- Research the technique thoroughly, including its strengths, limitations, and applications.
- Create a clear and engaging presentation that explains the technique and provides examples.
- Practice your presentation and receive feedback from peers or the instructor.
- Present your findings to the class.
Develop a data visualization project
Show steps
This course emphasizes the importance of effectively communicating data insights through visualization.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a real-world dataset that you are interested in.
- Use statistical software to clean and explore the data.
- Create visualizations that effectively convey the key findings from your data analysis.
- Present your project to others and gather feedback.
Create a blog post or article on a transportation modeling topic
Show steps
Explaining concepts to others can reinforce your own understanding.
Show steps
Show steps
Show steps
- Choose a transportation modeling topic that you are familiar with.
- Research the topic and gather information from credible sources.
- Write a clear and concise blog post or article that explains the topic.
- Share your blog post or article with others.
Design and implement a transportation model for a real-world scenario
Show steps
Applying your knowledge to a real-world scenario will solidify your understanding of transportation modeling concepts.
Show steps
Show steps
Show steps
- Identify a real-world transportation problem that you want to address.
- Collect data and conduct analysis to understand the problem.
- Design and implement a transportation model to address the problem.
- Validate and evaluate the model.
- Present your findings and recommendations.
Career center
Learners who complete Introducción a los modelos de demanda de transporte will develop knowledge and skills
that may be useful to these careers:
Transportation Engineer
Transportation Engineer
Transportation engineers design, build, and maintain transportation systems. They work on projects such as roads, bridges, airports, and public transportation systems. This course can help you develop the skills and knowledge you need to become a successful transportation engineer. You will learn about the principles of transportation engineering, how to design and build transportation systems, and how to evaluate the safety and efficiency of transportation systems.
Transportation Planner
Transportation Planner
Transportation planners develop and implement plans to improve the safety and efficiency of transportation systems. They analyze transportation problems, such as traffic congestion and air pollution, and develop solutions such as new roads, public transportation systems, and bike lanes. This course can help you develop the skills and knowledge you need to become a successful transportation planner. You will learn about the principles of transportation planning, how to collect and analyze data, and how to develop and evaluate transportation plans.
Civil Engineer
Civil Engineer
Civil engineers design and build infrastructure, such as roads, bridges, and buildings. They also work on projects such as water supply and wastewater treatment systems. This course can help you develop the skills and knowledge you need to become a successful civil engineer. You will learn about the principles of civil engineering, how to design and build infrastructure, and how to evaluate the safety and efficiency of infrastructure.
Environmental Engineer
Environmental Engineer
Environmental engineers design and implement solutions to environmental problems, such as air pollution, water pollution, and climate change. This course can help you develop the skills and knowledge you need to become a successful environmental engineer. You will learn about the principles of environmental engineering, how to design and implement environmental solutions, and how to evaluate the effectiveness of environmental solutions.
Data Scientist
Data Scientist
Data scientists collect, analyze, and interpret data to help businesses make better decisions. This course can help you develop the skills and knowledge you need to become a successful data scientist. You will learn about the principles of data science, how to collect and analyze data, and how to interpret data to make informed decisions.
Operations Research Analyst
Operations Research Analyst
Operations research analysts use mathematical and analytical techniques to solve problems in a variety of industries, including transportation, logistics, and manufacturing. This course can help you develop the skills and knowledge you need to become a successful operations research analyst. You will learn about the principles of operations research, how to use mathematical and analytical techniques to solve problems, and how to communicate your findings to decision makers.
Management Consultant
Management Consultant
Management consultants help businesses improve their performance by providing advice on strategy, operations, and technology. This course can help you develop the skills and knowledge you need to become a successful management consultant. You will learn about the principles of management consulting, how to develop and implement consulting solutions, and how to communicate your findings to clients.
Urban Planner
Urban Planner
Urban planners develop and implement plans for the development of cities and towns. This course may help you develop some of the skills and knowledge you need to become a successful urban planner. You will learn about the principles of urban planning, how to develop and implement urban plans, and how to evaluate the effectiveness of urban plans.
Financial Analyst
Financial Analyst
Financial analysts evaluate the financial performance of companies and make recommendations on investment decisions. This course may help you develop some of the skills and knowledge you need to become a successful financial analyst. You will learn about the principles of financial analysis, how to evaluate financial performance, and how to make investment recommendations.
Public Policy Analyst
Public Policy Analyst
Public policy analysts research and analyze public policy issues and make recommendations to policymakers. This course may help you develop some of the skills and knowledge you need to become a successful public policy analyst. You will learn about the principles of public policy analysis, how to research and analyze public policy issues, and how to communicate your findings to policymakers.
Market Researcher
Market Researcher
Market researchers collect and analyze data to understand consumer behavior and trends. This course may help you develop some of the skills and knowledge you need to become a successful market researcher. You will learn about the principles of market research, how to collect and analyze data, and how to interpret data to make informed decisions.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to draw conclusions about the world around us. This course may help you develop some of the skills and knowledge you need to become a successful statistician. You will learn about the principles of statistics, how to collect and analyze data, and how to interpret data to make informed decisions.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. This course may help you develop some of the skills and knowledge you need to become a successful economist. You will learn about the principles of economics, how to analyze economic data, and how to make economic forecasts.
Software Engineer
Software Engineer
Software engineers design, develop, and maintain software applications. This course may help you develop some of the skills and knowledge you need to become a successful software engineer. You will learn about the principles of software engineering, how to design and develop software applications, and how to evaluate the performance of software applications.
Computer Scientist
Computer Scientist
Computer scientists design, develop, and maintain computer systems and software. This course may help you develop some of the skills and knowledge you need to become a successful computer scientist. You will learn about the principles of computer science, how to design and develop computer systems and software, and how to evaluate the performance of computer systems and software.
For more career information including salaries, visit:
OpenCourser.com/course/hm2mll/introduccion
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introducción a los modelos de demanda de transporte.
Este libro es un texto clásico sobre modelado de demanda de transporte. Proporciona una cobertura completa del tema, incluyendo los últimos avances en pronóstico de demanda de viajes y el uso de modelos de demanda para evaluación de políticas.
Provides a comprehensive treatment of discrete choice modelling. It covers a wide range of topics, including the theory of discrete choice, the estimation of discrete choice models, and the application of discrete choice models to a variety of transportation problems.
Save
Provides a comprehensive treatment of econometric models of travel demand. It covers a wide range of topics, including the theory of travel demand, the estimation of travel demand models, and the application of travel demand models to a variety of transportation problems.
Comprehensive reference on transportation planning. It covers a wide range of topics, including travel demand forecasting, network modeling, and economic evaluation.
Este libro proporciona una introducción completa al comportamiento del viaje, que es esencial para comprender y modelar la demanda del transporte.
Provides a comprehensive treatment of traffic and highway engineering. It covers a wide range of topics, including traffic flow theory, highway capacity analysis, and highway design.
Este libro cubre los fundamentos de los métodos de elección discreta, que son ampliamente utilizados en la modelación de la demanda de transporte.
Este libro ofrece una guía paso a paso de las técnicas estadísticas y econométricas utilizadas en el análisis de datos de transporte.
Este libro cubre una amplia gama de temas de ingeniería de transporte, incluyendo el diseño de carreteras, el control del tráfico y la modelación de la demanda.
Este libro proporciona una base sólida en los principios y técnicas de ingeniería de carreteras y análisis de tráfico.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hm2mll/introduccion
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Effort
5 semanas de estudio, 2-3 horas por semana
Level
Intermediate
Via
Coursera
Institution
Pontificia Universidad Católica de Chile
Instructors
Sebastián Raveau
Juan de Dios Ortuzar
Luis Ignacio Rizzi
Language
Español
Good to know
Desarrolla habilidades básicas para recopilar, corregir y expandir datos de demanda de transporte, esenciales para la planificación de proyectos
Proporciona una base sólida para comprender los principios de modelado de demanda de transporte
Enseña técnicas clásicas y herramientas estadísticas para predecir la demanda de transporte a través del modelo de cinco etapas
Impartido por expertos reconocidos en modelado de demanda de transporte: Sebastián Raveau, Juan de Dios Ortuzar y Luis Ignacio Rizzi
Ofrece una descripción general completa de las metodologías de modelado de transporte, desde la recolección de datos hasta la predicción de la demanda
Puede requerir conocimientos previos en estadística y modelado
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