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2023/2024

Mobility, Transport and Region. Planning and Management

Code: 44467 ECTS Credits: 6
Degree Type Year Semester
4317118 Global East Asian Studies OT 0 1
4317520 Territorial Studies and Planning OT 0 1

Contact

Name:
Oriol Marquet Sardà
Email:
oriol.marquet@uab.cat

Teaching groups languages

You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.

Teachers

Joaquin Recaño Valverde

Prerequisites

There are no prerequisites


Objectives and Contextualisation

This subject aims to study mobility and transport within the framework of the new paradigm of sustainability. More specifically, the following specific objectives are raised.

  • Know the basic concepts of mobility
  • Understand the complex relationship between mobility and territory
  • Know the limits and impacts associated with the current mobility model
  • Understand and be able to predict the positive and negative externalities of future developments in terms of mobility and transport
  • Know the main methodologies of study of mobility
  • Know the necessary instruments and their methodologies for the management of mobility

Learning Outcomes

  • CA11 (Competence) Promote the application and progress of the principles of ecological, social and economic sustainability from the gender perspective as part of a research project.
  • CA12 (Competence) Show different models and examples of mobility-related problems using environmental mapping.
  • CA13 (Competence) Promote the application and advancement of the principles of ecological, social and economic sustainability from a gender perspective in a research project.
  • CA13 (Competence) Offer urban mobility proposals for a project based on environmental considerations that improve comfort and mitigate deterioration.
  • CA14 (Competence) Generate different models and scenarios of mobility-related problems through environmental mapping.
  • CA15 (Competence) Establish urban mobility proposals in a project based on environmental premises that improve comfort and offer protection from deterioration.
  • KA08 (Knowledge) Recognise the interaction between demographic dynamics and settlement structures with mobility demands in urban planning.
  • KA09 (Knowledge) Identify sources of information and databases on population, travel and transport modes.
  • KA10 (Knowledge) Recognise urban models (compact, diffuse, gravitational, etc.) and their impact on sustainable mobility.
  • KA11 (Knowledge) Understand how demographic dynamics and settlement structures interact with mobility demands in urban planning.
  • KA12 (Knowledge) Identify sources of information and databases on population, travel and modes of transport.
  • KA13 (Knowledge) Recognise urban models (compact, diffuse, gravitational, etc.) and how they impact sustainable mobility.
  • SA08 (Skill) Assess the impact of mobility on territorial and planning studies regarding the environment, society and the city.
  • SA09 (Skill) Integrate the benefits of cartography by using various GIS for spatial resolution.
  • SA10 (Skill) Build environmentally responsible and sustainable mobility models for different social situations.
  • SA16 (Skill) Assess the impact of mobility in territorial and planning studies at different levels: environment, society and city.
  • SA17 (Skill) Integrate the usefulness of mapping through the use of various GIS in spatial resolution.
  • SA18 (Skill) Construct environmentally responsible and sustainable mobility models for different social situations.

Content

1. Introduction to mobility

1.1 What is mobility?

1.2 The evolution of mobility: farther, faster, more distance

2. The means of transport

2.1 The means of transport: the instruments to move

2.2 Access to means of transport

2.3 Transport for all

3. The main determinants of the forms of mobility and transport

3.1 Mobility and urban form

3.2 Mobility and socioeconomic factors

3.3 Habits, ideology and beliefs behind modes of transport

4. The costs of mobility

4.1 Environmental costs

4.2 Social costs

4.3 Health costs

4.4 Economic costs

5. Future scenarios: challenges and solutions in the context of the Smart City

5.1 Defining the objectives of the future mobility model

5.2 Clean technologies

5.3 Automation

5.4 Personal mobility vehicles

5.5 Utopias

6. Sources for studying mobility

6.1. Quantitative sources in the study of supply

6.2. Quantitative sources in the study of demand

6.3. Qualitative sources in the study of mobility

 


Methodology

The subject will be structured based on directed and autonomous activities, where students will learn interactively with the contents of the program, with the help and support of the teacher.

The subject includes classes led by the teacher, exhibitions and discussions of students, with the collaboration of external experts from different fields.

All the activities in class will have a bibliographic support that the students will have at the beginning of the course. Activities that cannot be done in person will be adapted to the possibilities offered by the UAB's virtual tools. The exercises, projects and theoretical classes will be carried out through virtual tools, such as tutorials, videos, team sessions, etc. The teacher will ensure that the student can access it or offer alternative means, which are available to them.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.


Activities

Title Hours ECTS Learning Outcomes
Type: Directed      
Theoretical classes 10 0.4 CA11, CA12, KA08, KA09, SA08, SA09, CA11
Type: Supervised      
Class exhibitions 10 0.4 CA13, CA13, KA10, KA11, SA10, SA16
Preparation of a job 36 1.44 CA14, CA15, KA12, KA13, SA18, CA14
Type: Autonomous      
Readings of articles or books of the subject 26 1.04 CA15, KA13, SA18, CA15

Assessment

La evaluación se hará sobre la siguiente base:

  • Exposiciones en clase por parte de los alumnos: 30%
  • Examen: 40%
  • Participación en clase (la asistencia es obligatoria): 10%
  • Asistencia y participación en actividades dirigidas: 20%

Evaluación única

  • Las exposiciones en clase se sustituirán por presentaciones grabadas en vídeo: 30%
  • Examen: 40%
  • Las actividades dirigidas se sustituirán por trabajos: 30%

Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Assistance and participation in guided activities 20% 15 0.6 CA11, CA12, KA08, KA09, SA08, SA09
Classroom exhibitions 30% 15 0.6 CA13, KA10, KA11, SA10, SA16
Classroom participation 10% 8 0.32 CA13, KA11, SA16
Written assessment test 40% 30 1.2 CA14, CA15, KA12, KA13, SA16, SA17, SA18

Bibliography

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    Banister, D. (2008). The sustainable mobility paradigm. Transport Policy, 15(2), 73–80. https://doi.org/10.1016/j.tranpol.2007.10.005

    Banister, D. (2011). The trilogy of distance, speed and time. Journal of Transport Geography, 19(4), 950–959. https://doi.org/10.1016/j.jtrangeo.2010.12.004

    Brand, C., Anable, J., & Morton, C. (2019). Lifestyle, efficiency and limits: modelling transport energy and emissions using a socio-technical approach. Energy Efficiency, 12(1), 187–207. https://doi.org/10.1007/s12053-018-9678-9

    Brand, C., Anable, J., Ketsopoulou, I., & Watson, J. (2020). Road to zero or road to nowhere? Disrupting transport and energy in a zero carbon world. Energy Policy, 139(February), 111334. https://doi.org/10.1016/j.enpol.2020.111334

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    De Witte, A., Hollevoet, J., Dobruszkes, F., Hubert, M., & Macharis, C. (2013). Linking modal choice to motility: A comprehensive review. Transportation Research Part A: Policy and Practice, 49, 329–341. https://doi.org/10.1016/j.tra.2013.01.009

    Ellegård, K., & Vilhelmson, B. (2004). Home as a Pocket of Local Order: Everyday Activities and The Friction of Distance. Geografiska Annaler: Series B, Human Geography, 86(4), 281–296. https://doi.org/10.1111/j.0435-3684.2004.00168.x

    Glazener, A., Sanchez, K., Ramani, T., Zietsman, J., Nieuwenhuijsen, M. J., Mindell, J. S., Fox, M., & Khreis, H. (2021). Fourteen pathways between urban transportation and health: A conceptual model and literature review. Journal of Transport and Health, 21(June 2020), 101070. https://doi.org/10.1016/j.jth.2021.101070

    Harrison, R. M., Allan, J., Carruthers, D., Heal, M. R., Lewis, A. C., Marner, B., Murrells, T., & Williams, A. (2021). Non-exhaust vehicle emissions of particulate matter and VOC from road traffic : A review. Atmospheric Environment, 262(July), 118592. https://doi.org/10.1016/j.atmosenv.2021.118592

    Haugen, K., Holm, E., Strömgren, M., Vilhelmson, B., & Westin, K. (2012). Proximity, accessibility and choice: A matter of taste or condition? Papers in Regional Science, 91(1), 65–84. https://doi.org/10.1111/j.1435-5957.2011.00374.x

    Hosford, K., Firth, C., Brauer, M., & Winters, M. (2021). The effects of road pricing on transportation and health equity: a scoping review. Transport Reviews. https://doi.org/10.1080/01441647.2021.1898488

    Jabareen, Y. (2006). Sustainable Urban Forms: Their Typologies, Models, and Concepts. Journal of Planning Education and Research, 26(1), 38–52. https://doi.org/10.1177/0739456X05285119

    James, P., Weissman, J., Wolf, J., Mumford, K., Contant, C. K., Hwang, W., Taylor, L., & Glanz, K. (2016). Comparing GPS, Log, Survey, and Accelerometry to Measure Physical Activity. American Journal of Health Behavior, 40(1), 123–131. https://doi.org/10.5993/AJHB.40.1.14

    Lamb, W. F., Mattioli, G., Levi, S., Timmons Roberts, J., Capstick, S., Creutzig, F., Minx, J. C., Müller-Hansen, F., Culhane, T., & Steinberger, J. K. (2020). Discourses of climate delay. Global Sustainability, 3, 6–10. https://doi.org/10.1017/sus.2020.13

    Lamb, W. F., Res, E., Lamb, W. F., Wiedmann, T., Pongratz, J., Andrew, R., Crippa, M., Olivier, J. G. J., Wiedenhofer, D., Mattioli, G., Khourdajie, A. Al, House, J., Pachauri, S., Figueroa, M., Saheb, Y., Slade, R., & Hubacek, K. (2021). A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018. Environmental Research, 16, 073005

    Loo, B., & Chow, S. (2006). Sustainable Urban Transportation: Concepts, Policies, and Methodologies. Journal of Urban Planning and Development, 132(2), 76–79. https://doi.org/10.1061/(ASCE)0733-9488(2006)132:2(76)

    Marquet, O. (2020). Spatial distribution of ride-hailing trip demand and its association with walkability and neighborhood characteristics. Cities, 106(August), 102926. https://doi.org/10.1016/j.cities.2020.102926

    Marquet, O., & Miralles-Guasch, C. (2014). Walking short distances. The socioeconomic drivers for the use of proximity in everyday mobility in Barcelona. Transportation Research Part A: Policy and Practice, 70, 210–222. https://doi.org/http://dx.doi.org/10.1016/j.tra.2014.10.007

    Marquet, O., & Miralles-Guasch, C. (2015). The Walkable city and the importance of the proximity environments for Barcelona’s everyday mobility. Cities, 42, 258–266. https://doi.org/10.1016/j.cities.2014.10.012

    Marquet, O., & Miralles-Guasch, C. (2016). City of Motorcycles. On how objective and subjective factors are behind the rise of two-wheeled mobility in Barcelona. Transport Policy, 52, 37–45. https://doi.org/10.1016/j.tranpol.2016.07.002

    Marquet, O., & Miralles-Guasch, C. (2017). Efectos de la crisis economica en la movilidad cotidiana en la Region metropolitana de Barcelona. Boletín de La Asociación de Geógrafos Españoles, 75, 9–28. https://doi.org/http://dx.doi.org/10.21138/bage.2490

    Marquet, O., Floyd, M. F., James, P., Glanz, K., Jennings, V., Jankowska, M. M., Kerr, J., & Hipp, J. A. (2020). Associations between worksite walkability, greenness, and physical activity around work. Environment and Behavior, 52(2), 139–163. https://doi.org/10.1177/0013916518797165

    Marquet, O., Hirsch, J. A., Kerr, J., Jankowska, M. M., Mitchell, J., Hart, J. E., Laden, F., Hipp, J. A., & James, P. (2022). GPS-based activity space exposure to greenness and walkability is associated with increased accelerometer-based physical activity. Environment International, 165(May), 107317. https://doi.org/10.1016/j.envint.2022.107317

    Marquet, O., Ríos Bedoya, V., & Miralles-Guasch, C. (2017). Local accessibility inequalities and willingness to walk in Latin American cities. Findings from Medellín, Colombia. International Journal of Sustainable Transportation,11(3), 186–196. https://doi.org/10.1080/15568318.2016.1230804

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    Stopher, P. R., & Greaves, S. P. (2007). Household travel surveys: Where are we going? Transportation Research Part A, 41(5), 367–381. https://doi.org/10.1016/j.tra.2006.09.005


Software

None in specific