Important notice
The course guide is provisional.
The PDF version of the course guide may take a few days to become available in the DDD.
Mobility, Transport and Region. Planning and Management
Code: 44467Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Global East Asian Studies | OP | 1 |
| Territorial Studies and Planning | OP | 1 |
Contact lecturer
- Name :
- Carme Miralles Guasch
- Email :
- carme.miralles@uab.cat
Group languages
You can consult this information at the end of the document.
Prerequisites
There are no prerequisites
Objectives
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
Global East Asian Studies
- CA19 (Promote the application and progress of the principles of ecological, social and economic sustainability from the gender perspective as part of a research project.) Promote the application and progress of the principles of ecological, social and economic sustainability from the gender perspective as part of a research project.
- CA20 (Show different models and examples of mobility-related problems using environmental mapping.) Show different models and examples of mobility-related problems using environmental mapping.
- CA21 (Offer urban mobility proposals for a project based on environmental considerations that improve comfort and mitigate deterioration.) Offer urban mobility proposals for a project based on environmental considerations that improve comfort and mitigate deterioration.
- KA08 (Recognise the interaction between demographic dynamics and settlement structures with mobility demands in urban planning.) Recognise the interaction between demographic dynamics and settlement structures with mobility demands in urban planning.
- KA09 (Identify sources of information and databases on population, travel and transport modes.) Identify sources of information and databases on population, travel and transport modes.
- KA10 (Recognise urban models (compact, diffuse, gravitational, etc.) and their impact on sustainable mobility.) Recognise urban models (compact, diffuse, gravitational, etc.) and their impact on sustainable mobility.
- SA16 (Assess the impact of mobility in territorial and planning studies at different levels: environment, society and city.) Assess the impact of mobility in territorial and planning studies at different levels: environment, society and city.
- SA17 (Integrate the usefulness of mapping through the use of various GIS in spatial resolution.) Integrate the usefulness of mapping through the use of various GIS in spatial resolution.
- SA18 (Construct environmentally responsible and sustainable mobility models for different social situations.) Construct environmentally responsible and sustainable mobility models for different social situations.
Territorial Studies and Planning
- CA11 (Promote the application and progress of the principles of ecological, social and economic sustainability from the gender perspective as part of a research project.) 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 (Show different models and examples of mobility-related problems using environmental mapping.) Show different models and examples of mobility-related problems using environmental mapping.
- CA13 (Offer urban mobility proposals for a project based on environmental considerations that improve comfort and mitigate deterioration.) Offer urban mobility proposals for a project based on environmental considerations that improve comfort and mitigate deterioration.
- KA11 (Understand how demographic dynamics and settlement structures interact with mobility demands in urban planning.) Understand how demographic dynamics and settlement structures interact with mobility demands in urban planning.
- KA12 (Identify sources of information and databases on population, travel and modes of transport.) Identify sources of information and databases on population, travel and modes of transport.
- KA13 (Recognise urban models (compact, diffuse, gravitational, etc.) and how they impact sustainable mobility.) Recognise urban models (compact, diffuse, gravitational, etc.) and how they impact sustainable mobility.
- SA08 (Assess the impact of mobility on territorial and planning studies regarding the environment, society and the city.) Assess the impact of mobility on territorial and planning studies regarding the environment, society and the city.
- SA09 (Integrate the benefits of cartography by using various GIS for spatial resolution.) Integrate the benefits of cartography by using various GIS for spatial resolution.
- SA10 (Build environmentally responsible and sustainable mobility models for different social situations.) Build environmentally responsible and sustainable mobility models for different social situations.
Contents
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
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Theoretical classes | 10 | 0.4 | |
| Readings of articles or books of the subject | 26 | 1.04 | |
| Preparation of a job | 36 | 1.44 | |
| Class exhibitions | 10 | 0.4 |
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.
Intelligence (AI) technologies exclusively for bibliographic research or information retrieval, text correction, or translations. The student must: (i) identify the sections that were generated using AI; (ii) specify the tools used; and (iii) include a critical reflection on how these tools influenced both the process and the final outcome of the activity. Lack of transparency regarding the use of AI in this graded activity will be considered academic dishonesty and will result in a grade of 0 for the activity, with no possibility of recovery, or harsher penalties in severe cases.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Classroom participation | 10% | 8 | 0.32 | CA12, CA20, CA21, KA09, KA10, KA12, SA08, SA10, SA16, SA18 |
| Classroom exhibitions | 20% | 15 | 0.6 | CA11, CA13, CA21, KA11, KA13, SA09, SA17 |
| Written assessment test | 50% | 30 | 1.2 | CA13, CA20, KA08, KA09, KA11, KA13 |
| Assistance and participation in guided activities | 20% | 15 | 0.6 | CA11, CA12, CA13, CA19, CA20, CA21, KA09, KA11, KA13, SA08, SA09, SA10, SA16, SA17 |
The evaluation will be based on the following criteria:
Class presentations by students: 20%
Exam: 50%
Class participation (attendance is mandatory): 10%
Attendance and participation in directed activities: 20%
A “not assessable” grade will be assigned if the student has not submitted more than 30% of the assessment activities.
You have to pass the exam to pass the course.
At the time each assessment activity is carried out, the lecturer will inform students (via Moodle) of the procedure and the date for reviewing grades.
Any irregularity in an assessment activity (plagiarism, fraud, etc.) will result in a grade of zero for that activity and will exclude the possibility of retaking or recovering it. Furthermore, if multiple irregularities are committed, the final grade for the course will be zero.
Single evaluation
Class presentations will be replaced by recorded video presentations: 30%
Exam: 40%
Directed activities will be replaced by assignments: 30%
The evaluation will consist of retaking the exam.
You have to pass the exam to pass the course.
Bibliography
Apparicio, P., Gelb, J., Jarry, V., & Mann, É. L. (2021). Cycling in one of the most polluted cities in the world : Exposure to noise and air pollution and potential adverse health impacts in Delhi. International Journal of Health Geographics, 1–16. https://doi.org/10.1186/s12942-021-00272-2
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
Choi, K., Park, H. J., & Dewald, J. (2021). The impact of mixes of transportation options on residential property values: Synergistic effects of walkability. Cities, 111(January), 103080. https://doi.org/10.1016/j.cities.2020.103080
Ivanova, D., & Wood, R. (2020). The unequal distribution of household carbon footprints in Europe and its link to sustainability. Global Sustainability, 3. https://doi.org/10.1017/sus.2020.12
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, andConcepts. 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
Mattioli, G. (2014). Where Sustainable Transport and Social Exclusion Meet: Households Without Cars and Car Dependence in Great Britain. Journal of Environmental Policy and Planning, 16(3), 379–400. https://doi.org/10.1080/1523908X.2013.858592
Næss, P., & Cao, X. J. (2017). Which D ’ s are the important ones ? The effects of built environment characteristics on driving distance in Oslo and Stavanger. The Journal of Transport and Land Use, 945–964.
Shen, L., & Stopher, P. R. (2014). Review of GPS Travel Survey and GPS Data-Processing Methods. Transport Reviews, 34(3), 316–334. https://doi.org/10.1080/01441647.2014.903530
Steg, L. (2005). Car use: lust and must. Instrumental, symbolic and affective motives for car use. Transportation Research Part A: Policy and Practice, 39(2–3), 147–162. https://doi.org/10.1016/j.tra.2004.07.001
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
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TEm) Theory (master) | 1 | Catalan | second semester | afternoon |