Transport Demands Models

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Transport Demands Models

1. General overview

UPM Code Credits Type Specialization Language

43000411 4,5 Optional Transports, Territory and _{Urban Planning} English Name in Spanish _{Modelos de Demanda de Transporte}

Subject Transport Demands Models Department _{Civil Engineering: transports}

Web page https://moodle.upm.es/titulaciones/oficiales

Semester _{Fourth semester} Formación

predoctoral Asignatura válida como créditos formativos de admisión al Programa de Doctorado _D7_{Doctorado en Sistemas de Ingeniería Civil} NOTE. It can be taught in English, depending on the number of students and the availability of professors.

2. Teaching staff

Name Evaluation _jury Group Office hours Place E-mail address Andrés Monzón Chair All Mon (9.30-12.30)

Tue (9.30-12.30) TRANSyT [email protected] Óscar Martínez Secr. All _{Fri (9.30-15.30)} Department of _Transports [email protected]

NOTE. The person on the first place is the course coordinator.

3. Previous knowledge

Courses that must be taken in advance: Transport Systems

Other learning requirements: None

4. Assigned competences

Code Competence CGP1

Scientific, technical and methodological ability to the continuous use of previous knowledge and the practice of professional functions such as assessment, analysis, design, calculus, project, planning, direction, management, construction, maintenance, conservation and use of civil engineering fields.

CGP6 Knowledge to make use of technical and management capacities in activities of research, _{development and innovation inside the civil engineering area.} CGP7 Capacity to plan, design, inspect and manage infrastructure constructions of ground transportations (roads, railways, bridges, tunnels and urban roads) and ocean

transportations (harbor works).

CE28 Knowledge of engineering and transportation planning, functions and modes of transport, urban transport, management of public services of transport, demand, costs, logistics and the financing infrastructure and public services.

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Code Competence

CE30 Ability to plan, manage and operation of infrastructures related to Civil Engineering. CE41 Capacity to apply technical knowledge to the evaluation of infrastructures and transport _systems.

CT1 Ability to prepare and present oral, written and graphical documents with order and clarity. CT2 Capacity to become autonomous and multi-skilled.

CT3 Capacity of technical communication in English, written and oral.

CT8 Ability to design, analyse and understand relevant experiments in civil engineering.

5. Student outcomes

Code Learning results Competences _linked

SO1

The student knows and understands the planning process of transport networks, the objectives to reach and the criteria and indicators that measure the compliance.

All the previous ones SO2 The student knows how to design, make and use mobility surveys as well as _{transport databases.}

All the previous ones SO3 The student knows transport modelling techniques and manage the four step _model.

All the previous ones

1. Indicators of achievement

Code Basic Indicators of achievement SO linked

AI1 Yes The student knows how to develop planning processes of transport in _{different territorial scopes.} SO1 AI2 Yes The student knows the necessity of having information with appropriate _{quality for each planning process.} SO2 AI3 Yes The student knows how to analyze the mobility seeing the results of _{previous studies and statistics information.} SO2 AI4 Yes The student knows how to implement and make use of transportation _{models, in each phase and stage.} SO3

NOTE.Basic: Indicator that must be achieved to pass the subject.

7. Evaluation methods and criteria

Code, name of evaluation methods, brief description of evaluation methods, criteria, place and period of

evaluation Weight

7.1. Evaluation through “continuous assessment”

EM1. Participation and resolution of interactive exercises and case- studies 10%

Description: It consists of evaluate the level and quality of student’s participation in master lectures, practice lessons, laboratory classes and lectures, as well as exercise an case-studies.

Evaluation criteria: The professor will evaluate the students according to the notes of participation and attention.

Place and period: At class, during the course.

EM2. Individual/autonomous and assisted resolution of case studies 20%

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Code, name of evaluation methods, brief description of evaluation methods, criteria, place and period of

evaluation Weight

Evaluation criteria: Each exercise will be ranked from 0 to 10. The mark of this part will be the weighted average of all the exercises done during the course.

Place and period: At class, during the course.

EM3. Laboratory classes 30%

Description: Students will do modelling practices in the computer lab. They will learn how to use demand models, including the design and characterization of networks, the calculation of demand matrices, modal distribution and allocation of routes.

Evaluation criteria: Laboratory classes will consist on knowing the modelling tool, which will be evaluated by practice applications of the model network. Then, each student will make a series of case studies, which will be in groups.

Place and period: At laboratory classes, during the course

EM4. Final exam 40%

Description: The final exam will consist of two parts, with a duration of 2 hours. The first part will consist of theoretical or applied questions.

The second part will consist of exercises that will include practical problems.

Evaluation criteria: Each exercise will be ranked from 0 to 10. The score will be the weighted average of the marks obtained in the exercises.

Place and period: To be determined by the Head of Studies

Result of the evaluation through “continuous assessment”

The final score will be the weighted average of the results obtained:

- For those students who have gone to the 80% of the lessons, the weighted average of the four parts of evaluation seen previously.

- For all the students, the score obtained by the evaluation through “final exam” that will be described next.

The subject will be passed if the final score is equal or greater than 5.

Those students with a score less than 5 through “continuous assessment” in the ordinary examination will not pass the subject and will have another opportunity in the second period examination (extraordinary), with through “final exam” evaluation.

7.2. Evaluation through “final exam only”

Description: The exam will be the same final exam done by the students under the evaluation through “continuous assessment”.

Evaluation criteria: Each exercise will be ranked from 0 to 10. The score will be the weighted average of the marks obtained in each exercise.

Place and period: To be determined by the Head of Studies.

Result of the evaluation through “final exam only”

The final score will be the one obtained in the final exam.

The subject will be passed if the final score is equal or greater than 5.

8. Course content

Units, sections and descriptors Achievement _{indicators linked}

Unit 1. Planning process: objectives and indicators AI1

1.1. Sustainability objectives

1.2. Planning criteria

1.3. Indicators

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Units, sections and descriptors Achievement _{indicators linked}

Unit 2. Surveys and Information resources AI2, AI3

2.1. Necessity of information and data sources available

2.2. Surveys: typology, design and sampling

2.3. Surveys of revealed preferences

2.4. Surveys of stated preferences

2.5. Analysing and application of data collected

2.6. New information sources: big data

Unit 3. Structure of model transport to travellers AI3, AI4

3.1. Concept and structure

3.2. Model network and necessary data

3.3. Demand model and related information

3.4. Balance between supply-demand and forecasting

Unit 4. Building the network model AI4

4.1. Zoning

4.2. Components and characteristics of the network: infrastructures

4.3. Public transport services: frequency, rates…

4.4. Route optimization and network checks

Unit 5. Four steps demand model AI4

5.1. Trip generation/attraction model

5.2. Trip distribution model: matrices supply-demand

5.3. Mode choice model

5.4. Route choice model

5.5. Assignment

Unit 6. Transport of merchandise model AI4

6.1. Aggregate models

6.2. Logistic models

Unit 7. Other transport models AI4

7.1. Integrated models of land use and transport

7.2. Micro models

7.3. New techniques of real time modelling

Unit 8. Application of models: case studies AI4

8.1. Application in urban area: private car

8.2. Application in urban area: public transport

8.3. Application in long distances

8.4. Application in freight logistics

9. Description of teaching methodology

Theory lessons:

The teacher will explain the necessary concepts to understand the concepts of the course in order for the student to achieve the expected indicators. The teacher will use appropriate practical examples and logical reasoning to develop the scientific and technical abilities of the student. The participation of students will be encouraged by means of discussions on the topics taught.

Practice lessons:

Practice lessons will be aimed at the resolution of exercises and case-studies. Practice lessons are intended as a correlation between the content of theory lessons and engineering practice, in order for the student to achieve the ability to apply the acquired knowledge in the future career. The teacher will first solve some exercises and case-studies to show the students how to work on their own later.

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Laboratory classes:

Laboratory classes will take place during the course, one to each phase of the supply-offer modelling of transport systems.

Independent work:

The student shall study the contents explained in theory lessons and shall strive to solve the exercises and case-studies.

Professional meetings:

Professionals of the transport sector will be invited to give some lectures in application of the issues view at the lessons.

Office hours

Office hours are intended as a complement for the students to ask questions on the content of the course. Details of office hours are detailed at the beginning of this guide for each teacher.

10. Bibliography and resources

Basic bibliography:

Modelos de Transporte (Transport Modelling) – Juan de Dios Ortuzar, Luis Willumsem,

Universidad de Cantabria, 2008 Complementary bibliography:

Transportes: un enfoque integral. Izquierdo, R. et al. (2001). Colegio de Ingenieros de Caminos,

Canales y Puertos. Madrid.

Handbook of Transport Modelling. Hensher, D.A. and Button, K.J. Elsevier Science, 2000. Stated Preference Modelling Techniques. PRTC. London, 2000

Web resources:

Movilia 2006/07– Ministry of Public Works – www.fomento.es

Transport and logistic Observatory – www.observatoriotransporte.fomento.es

Metropolitan mobility Observatory– www.observatoriomovilidad.es

Web site of the subject, virtual platform (MOODLE). Specific equipment:

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Table 11. Time schedule

Week

(see Note 1) Theory lessons Practice lessons

Laboratory classes

(see Note 1) Independent work Evaluation activities Other activities Hours

1 Unit 1 Study Unit 1 6 h 45 _min

3 h 3 h 45 min

1 h 2 h 4 h 45 min

12 Units 6 and 7 Study Units 6 and 7 7 h 45 _min

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Week

(see Note 1) Theory lessons Practice lessons

Laboratory classes

(see Note 1) Independent work Evaluation activities Other activities Hours

13 Units 7 and 8 Study Units 7 and 8 7 h 45 _min

3 h 4 h 45 min

14 Unit 8 Study Unit 8 Lecture 6 h 45 _min

1 h 3 h 45 min 2 h

15 Review 2 h

1 h 1h

To the exam

Independent study and preparation of final

exam Final exam 16 h

12 h 4 h

Hours 27 h 1 h 14 h 73 h 30 min 4 h 2h 121 h 30 _min

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