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Transportation Equity and Justice. The Effects of Driving in the Built Environment: Pollution and Global Warming

1. Anderson, J. E., Wulfhorst, G., & Lang, W. (2015). Comprehensive analysis of the built environment through the introduction of induced impacts via transportation detailed case study for the urban region of Munich, Germany. Transportation Research Record, 2500, 67–74. https://doi.org/10.3141/2500-08
2. Banister, D. (2011). Cities, mobility and climate change. Journal of Transport Geography, 19(6), 1538–1546. https://doi.org/10.1016/j.jtrangeo.2011.03.009
3. Baum-Snow, N. (2007). Suburbanization and transportation in the monocentric model. Journal of Urban Economics, 62(3), 405–423. https://doi.org/10.1016/j.jue.2006.11.006
4. Bullard, R. D., & Johnson, G. S. (1997). New Society Publishers. Retrieved from http://utexas.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdZ07C8IwEMcP0UHBQatSX9gvUAlp0rSztgjiVl1LYtOxix38-OZhqgiOIXBcwuV15P87gAjvUfizJ4g0JlTq2wllvBKMcalWWRURJCQVJpNRZCy_xcdLcv5o1x3E0VCTWvm0bMEuf0FoxBA1Sl_1blDBfE27YMZJkhIVjob5GFNdiY454o5rE3XsWLNfZ0o-gb7WGUyhJxsPhk4g_JiBpytsBa2jjpupm8Muz4rDKbSGyrfLpXMuwQsYc_1bvWmNqq3yIaCIC3RnXJDalH_mFZYyNqTAmhFSL8H_Z271v2sNIwtX1QmCDQxqFcBy64b4AteMbQ4
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6. Chen, T.-L., Chiu, H.-W., & Lin, Y.-F. (2020). How do East and Southeast Asian cities differ from Western cities? A systematic review of the urban form characteristics. Sustainability, 12(6), 2423. https://doi.org/10.3390/su12062423
7. Coolsaet, B. (Ed.). (2020). Environmental justice: Key issues. Routledge.
8. Guerra, E., Li, S., & Reyes, A. (2020). How do low-income commuters get to work in U.S. and Mexican cities? A comparative empirical assessment. Urban Studies, 004209802096544. https://doi.org/10.1177/0042098020965442
9. Jochem, P., Rothengatter, W., & Schade, W. (2016). Climate change and transport. Transportation Research Part D: Transport and Environment, 45, 1–3. https://doi.org/10.1016/j.trd.2016.03.001
10. Karner, A. (2016). Planning for transportation equity in small regions: Towards meaningful performance assessment. Transport Policy, 52, 46–54. https://doi.org/10.1016/j.tranpol.2016.07.004
11. Litman, T. (2017). Evaluating transportation equity. Victoria Transport Policy Institute.
12. Mattson, J. (2020). Relationships between density, transit, and household expenditures in small urban areas. Transportation Research Interdisciplinary Perspectives, 8, 100260.
13. Miller, K. (2018). Introduction to design equity. University of Minnesota Libraries Publishing. https://open.lib.umn.edu/designequity/
14. Moretti, L., & Loprencipe, G. (2018). Climate change and transport infrastructures: State of the art. Sustainability, 10(11), 4098. https://doi.org/10.3390/su10114098
15. Newman, P., & Kenworthy, J. (2011). “Peak car use”: Understanding the demise of automobile dependence. World Transport Policy & Practice, 17(2), 31–42.
16. Norman, J., MacLean, H. L., & Kennedy, C. A. (2006). Comparing high and low residential density: life-cycle analysis of energy use and greenhouse gas emissions. Journal of urban planning and development, 132(1), 10-21.

Case Study I: The Mobility Challenges in the Cities of the Global South

1. Cervero, R., & Golub, A. (2007). Informal transport: A global perspective. Transport Policy, 14(6), 445–457.
2. Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6
3. Guerra, E., Li, S., & Reyes, A. (2022). How do low-income commuters get to work in US and Mexican cities? A comparative empirical assessment. Urban Studies, 59(1), 75–96.
4. Jauregui-Fung, F., Kenworthy, J., Almaaroufi, S., Pulido-Castro, N., Pereira, S., & Golda-Pongratz, K. (2019). Anatomy of an informal transit city: Mobility analysis of the metropolitan area of Lima. Urban Science, 3(3), 67.
5. Mead, N. V. (2016, November 23). The world’s worst traffic: Can Jakarta find an alternative to the car? The Guardian. https://www.theguardian.com/cities/2016/nov/23/world-worst-traffic-jakarta-alternative
6. O’Brien, J., & Evans, J. (2017). Informal mobilities and elusive subjects: Researching urban transport in the Global South. In Urban mobilities in the Global South (pp. 78–94). Routledge.
7. Pojani, D., & Stead, D. (2015). Sustainable urban transport in the developing world: Beyond megacities. Sustainability, 7(6), 7784–7805.
8. Reyes, A. (2020). Housing and transportation: The relationship between residential location, local retail economies, and commutes of low-income families in Mexico City. Journal of Planning Education and Research, 0739456X20932983.Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6
9. Hazlegreaves, S. (2020, May 6). Informal public transport: Frontline mobility heroes. Open Access Government. https://www.openaccessgovernment.org/informal-public-transport-frontline-mobility-heroes/86570/
10. Jauregui-Fung, F., Kenworthy, J., Almaaroufi, S., Pulido-Castro, N., Pereira, S., & Golda-Pongratz, K. (2019). Anatomy of an informal transit city: Mobility analysis of the metropolitan area of Lima. Urban Science, 3(3), 67.

Case Study II: Congestion Charging in London: The Western Expansion

1. Baghestani, A. (2020). Evaluating the traffic and emissions impacts of New York City cordon pricing using activity-based approach (Doctoral dissertation, The City College of New York).
2. Eliasson, J. (2009). Expected and unexpected in the Stockholm Trial. In Nordic Academic Press.
3. Eliasson, J., Hultkrantz, L., Nerhagen, L., & Smidfelt Rosqvist, L. (2009). The Stockholm congestion – Charging trial 2006: Overview of effects. Stockholm Congestion Charging Trial, 43(3), 240–250. https://doi.org/10.1016/j.tra.2008.09.007
4. Fix NYC. (2018). Fix NYC. State of New York.
5. Gehlert, T., & Nielsen, O. A. (2007). Triangulation of data sources for analyzing car drivers’ responses to road pricing in Copenhagen. In PROCEEDINGS OF THE EUROPEAN TRANSPORT CONFERENCE 2007 HELD 17-19 OCTOBER 2007, LEIDEN, THE NETHERLANDS.
6. Givoni, M. (2012). Re-Assessing the results of the London congestion charging scheme. Urban Studies, 49(5), 1089–1105.
7. Gudmundsson, H., Ericsson, E., Hugosson, M. B., & Smidfelt Rosqvist, L. (2009). Framing the role of decision support in the Case of Stockholm congestion charging trial. Transportation Research Part A: Policy and Practice, 43(3), 258–268.
8. Harrington, W., Krupnick, A. J., & Alberini, A. (2001). Overcoming public aversion to congestion pricing. Transportation Research Part A: Policy and Practice, 35(2), 87–105.
9. Kottenhoff, K., & Freij, K. B. (2009). The role of public transport for feasibility and acceptability of congestion charging – The Case of Stockholm. Stockholm Congestion Charging Trial, 43(3), 297–305. https://doi.org/10.1016/j.tra.2008.09.004
10. Lehe, L. (2019). Downtown congestion pricing in practice. Transportation Research Part C: Emerging Technologies, 100, 200–223.
11. Lindsey, R. (2006). Do economists reach a conclusion? Econ Journal Watch, 3(2), 292–379.
12. Noland, R. B., Quddus, M. A., & Ochieng, W. Y. (2008). The effect of the London congestion charge on road casualties: An intervention analysis. Transportation, 35(1), 73–91.
13. Paul, A., Chilamkurti, N., Daniel, A., & Rho, S. (2017). Chapter 4 – Evaluation of vehicular network models. In A. Paul, N. Chilamkurti, A. Daniel, & S. Rho (Eds.), Intelligent Vehicular Networks and Communications (pp. 77–112). Elsevier. https://doi.org/10.1016/B978-0-12-809266-8.00004-1
14. Schaller, B. (2010). New York City’s congestion pricing experience and implications for road pricing acceptance in the United States. Transport Policy, 17(4), 266–273.
15. Schuitema, G., Steg, L., & Forward, S. (2010). Explaining differences in acceptability before and acceptance after the implementation of a congestion charge in Stockholm. Transportation Research Part A: Policy and Practice, 44(2), 99–109.
16. Small, K. A. (1992). Using the revenues from congestion pricing. Transportation, 19(4), 359–381.
17. Whitehead, J., Franklin, J. P., & Washington, S. (2014). The impact of a congestion pricing exemption on the demand for new energy efficient vehicles in Stockholm. Transportation Research Part A: Policy and Practice, 70(December), 24–40. https://doi.org/10.1016/j.tra.2014.09.013.

Case Study III: Car Bans in Mexico City

1. Barahona, N., Gallego, F. A., & Montero, J.-P. (2020). Vintage-specific driving restrictions. The Review of Economic Studies, 87(4), 1646–1682. https://doi.org/10.1093/restud/rdz031
2. Blackman, A., Alpízar, F., Carlsson, F., & Planter, M. R. (2018). A contingent valuation approach to estimating regulatory costs: ‘Mexico’s day without driving program. Journal of the Association of Environmental and Resource Economists, 5(3), 607–641. https://doi.org/10.1086/697416
3. Campbell, A. A., Cherry, C. R., Ryerson, M. S., & Yang, X. (2016). Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transportation Research Part C: Emerging Technologies, 67, 399–414. https://doi.org/10.1016/j.trc.2016.03.004
4. Cervero, R., & Hansen, M. (2002). Induced travel demand and induced road investment: A simultaneous equation analysis. Journal of Transport Economics and Policy, 36(3), 469–490. http://www.jstor.org/stable/20053915
5. Cheng, X., Huang, K., Qu, L., Zhang, T., & Li, L. (2020). Effects of vehicle restriction policies on urban travel demand change from a built environment perspective. Journal of Advanced Transportation, 2020, e9848095. https://doi.org/10.1155/2020/9848095
6. Davis, L. W. (2008). The effect of driving restrictions on air quality in Mexico City. Journal of Political Economy, 116(1), 38–81. https://doi.org/10.1086/529398
7. Davis, L. W. (2017). Saturday driving restrictions fail to improve air quality in Mexico City. Scientific Reports, 7(1), 41652. https://doi.org/10.1038/srep41652
8. de Buen Kalman, R. (2021). ‘Can’t drive today? The impact of driving restrictions on bikeshare ridership in Mexico City. Transportation Research Part D: Transport and Environment, 91, 102652. https://doi.org/10.1016/j.trd.2020.102652
9. de Grange, L., & Troncoso, R. (2011). Impacts of vehicle restrictions on urban transport flows: The case of Santiago, Chile. Transport Policy, 18(6), 862–869. https://doi.org/10.1016/j.tranpol.2011.06.001
10. Diao, Q., Sun, W., Yuan, X., Li, L., & Zheng, Z. (2016). Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies. Applied Energy, 178, 567–578. https://doi.org/10.1016/j.apenergy.2016.05.116
11. Downs, A. (2004). Still stuck in traffic: Coping with peak-hour traffic congestion. In Still Stuck in Traffic: Coping with Peak-Hour Traffic Congestion.
12. Duranton, G., & Turner, M. A. (2011). The fundamental law of road congestion: Evidence from US cities. American Economic Review, 101(6), 2616–2652. https://doi.org/10.1257/aer.101.6.2616
13. Eskeland, G. S., & Feyzioglu, T. (1997). Rationing can backfire: The “”Day without a Car”” in Mexico City. The World Bank Economic Review, 11(3), 383–408. https://doi.org/10.1093/wber/11.3.383
14. Gallego, F., Montero, J.-P., & Salas, C. (2013). The effect of transport policies on car use: Evidence from Latin American cities. Journal of Public Economics, 107, 47–62. https://doi.org/10.1016/j.jpubeco.2013.08.007
15. Gu, Y., Deakin, E., & Long, Y. (2017). The effects of driving restrictions on travel behavior evidence from Beijing. Journal of Urban Economics, 102, 106–122. https://doi.org/10.1016/j.jue.2017.03.001
16. Guerra, E., & Millard-Ball, A. (2017). Getting around a license-plate ban: Behavioral responses to Mexico ‘City’s driving restriction. Transportation Research Part D: Transport and Environment, 55, 113–126. https://doi.org/10.1016/j.trd.2017.06.027
17. Guerra, E., & Reyes, A. (2022). Examining behavioral responses to Mexico City’s driving restriction: A mixed methods approach. Transportation research part D: transport and environment, 104, 103191.
18. Liu, Z., Li, R., Wang, X. (Cara), & Shang, P. (2020). Noncompliance behavior against vehicle restriction policy: A case study of Langfang, China. Transportation Research Part A: Policy and Practice, 132, 1020–1033. https://doi.org/10.1016/j.tra.2020.01.005
19. Liu, Z., Li, R., Wang, X., & Shang, P. (2018). Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China. Transportation Research Part A: Policy and Practice, 118, 89–103. https://doi.org/10.1016/j.tra.2018.09.001
20. Lu, T., Yao, E., Jin, F., & Pan, L. (2020). Alternative incentive policies against purchase subsidy decrease for battery electric vehicle (BEV) adoption. Energies, 13(7), 1645. https://doi.org/10.3390/en13071645
21. Mohan, D., Tiwari, G., Goel, R., & Lahkar, P. (2017). Evaluation of odd–even day traffic restriction experiments in Delhi, India. Transportation Research Record, 2627(1), 9–16. https://doi.org/10.3141/2627-02
22. Nie, Y. (Marco). (2017). On the potential remedies for license plate rationing. Economics of Transportation, 9, 37–50. https://doi.org/10.1016/j.ecotra.2017.01.001
23. Rao, Y. (2020). New energy vehicles and sustainability of energy development: Construction and application of the Multi-Level Perspective framework in China. Sustainable Computing: Informatics and Systems, 27, 100396. https://doi.org/10.1016/j.suscom.2020.100396
24. Wang, L., Xu, J., & Qin, P. (2014). Will a driving restriction policy reduce car trips?—The case study of Beijing, China. Transportation Research Part A: Policy and Practice, 67, 279–290. https://doi.org/10.1016/j.tra.2014.07.014
25. Wang, N., Tang, L., & Pan, H. (2017). Effectiveness of policy incentives on electric vehicle acceptance in China: A discrete choice analysis. Transportation Research Part A: Policy and Practice, 105, 210–218. https://doi.org/10.1016/j.tra.2017.08.009
26. Xiong, Y., & Qin, S. (2020). Differences in ‘consumers’ product attribute preferences and willingness to pay for new energy vehicles: A comparison between the license plate- and non-license plate-restricted cities in China. International Journal of Sustainable Transportation, 0(0), 1–26. https://doi.org/10.1080/15568318.2020.1847369
27. Xu, Y., Zhang, Q., & Zheng, S. (2015). The rising demand for subway after private driving restriction: Evidence from Beijing’s housing market. Regional Science and Urban Economics, 54, 28–37. https://doi.org/10.1016/j.regsciurbeco.2015.06.004
28. Yang, J., Lu, F., Liu, Y., & Guo, J. (2018). How does a driving restriction affect transportation patterns? The medium-run evidence from Beijing. Journal of Cleaner Production, 204, 270–281. https://doi.org/10.1016/j.jclepro.2018.08.069
29. Zhang, L., Long, R., & Chen, H. (2019). Do car restriction policies effectively promote the development of public transport? World Development, 119, 100–110. https://doi.org/10.1016/j.worlddev.2019.03.007

Case Study IV. Parking in San Francisco

1. Arnott, R., & Rowse, J. (1999). Modeling parking. Journal of Urban Economics, 45(1), 97–124. https://doi.org/10.1006/juec.1998.2084
2. Behrendt, W. C. (1940). Off-street parking: A city planning problem. The Journal of Land & Public Utility Economics, 16(4), 464–467. https://doi.org/10.2307/3158204
3. City of Fort Worth. (2022). City of Fort Worth, Texas code of ordinances. American Legal Publishing Corporation.
4. Cutter, W. B., & Franco, S. F. (2012). Do parking requirements significantly increase the area dedicated to parking? A test of the effect of parking requirements values in Los Angeles County. Transportation Research Part A: Policy and Practice, 46(6), 901–925.
5. Gabbe, C. J., Pierce, G., & Clowers, G. (2020). Parking policy: The effects of residential minimum parking requirements in Seattle. Land Use Policy, 91, 104053.
6. Glazer, A., & Niskanen, E. (1992). Parking fees and congestion. Regional Science and Urban Economics, 22(1), 123–132. https://doi.org/10.1016/0166-0462(92)90028-Y
7. Guo, L., Huang, S., Zhuang, J., & Sadek, A. W. (2013). Modeling parking behavior under uncertainty: A static game theoretic versus a Sequential Neo-Additive Capacity Modeling Approach. Networks and Spatial Economics, 13(3), 327–350. https://doi.org/10.1007/s11067-012-9183-1
8. Millard-Ball, A., Weinberger, R. R., & Hampshire, R. C. (2014). Is the curb 80% full or 20% empty? Assessing the impacts of San Francisco’s parking pricing experiment. Transportation Research Part A: Policy and Practice, 63(May), 76–92. https://doi.org/10.1016/j.tra.2014.02.016
9. Ottomanelli, M., Dell’Orco, M., & Sassanelli, D. (2011). Modelling parking choice behaviour using Possibility Theory. Transportation Planning and Technology, 34(7), 647–667. https://doi.org/10.1080/03081060.2011.602846
10. Parmar, J., Das, P., & Dave, S. M. (2020). Study on demand and characteristics of parking system in urban areas: A review. Journal of Traffic and Transportation Engineering (English Edition), Special Issue: Modeling and detecting traffic dynamics: Granular, pedestrian and vehicular flow, 7(1), 111–124. https://doi.org/10.1016/j.jtte.2019.09.003
11. Pierce, G., & Shoup, D. (2013). Getting the prices right. Journal of the American Planning Association, 79(January), 67–81. https://doi.org/10.1080/01944363.2013.787307
12. Rutman, B., Darnell, C., Krantz, M., & Risse, W. (2013). An assessment of parking policy in Minnetonka, Minnesota: Recommendations for future parking policies to create a resilient community. Retrieved from http://conservancy.umn.edu/handle/11299/185378
13. Shoup, D. (1997). The high cost of free parking. Journal of Planning Education and Research, 17(January), 3–20.
14. Shoup, D. C. (2006). Cruising for parking. Parking, 13(6), 479–486. https://doi.org/10.1016/j.tranpol.2006.05.005
15. Vickery, W. (1954). The economizing of curb parking space. *Traffic Engineering, 62–67.
16. Weinberger, R. R. (2012). Death by a thousand curb-cuts: Evidence on the effect of minimum parking requirements on the choice to drive. Transport Policy, 20, 93–102.
17. Willson, R., & Roberts, M. (2011). Parking demand and zoning requirements for suburban multifamily housing. Transportation Research Record, 2245(1), 49–55. https://doi.org/10.3141/2245-06

Case Study V: California High-Speed Rail

1. builhsr.com. (2021). BuildHSR | California High-Speed Rail Authority | Construction Update. https://buildhsr.com/construction-updates/
2. Campos, J., & de Rus, G. (2009). Some stylized facts about high-speed rail: A review of HSR experiences around the world. Transport Policy, 16(1), 19–28. https://doi.org/10.1016/j.tranpol.2009.02.008
3. Chester, M., & Horvath, A. (2010). Life-cycle assessment of high-speed rail: The case of California. Environmental Research Letters, 5(1), 014003. https://doi.org/10.1088/1748-9326/5/1/014003
4. Chipindula, J., Du, H., Botlaguduru, V. S. V., Choe, D., & Kommalapati, R. R. (2021). Life cycle environmental impact of a high-speed rail system in the Houston-Dallas I-45 corridor. Public Transport. https://doi.org/10.1007/s12469-021-00264-2
5. constructionreviewonline.com. (2021, August 2). California High Speed Rail (CHSR) project timeline and all you need to know. Construction Review Online. https://constructionreviewonline.com/project-timelines/california-high-speed-rail-chsr-project-timeline-and-all-you-need-to-know/
6. European Court of Auditors. (2018). A European high-speed rail network: Not a reality but an ineffective patchwork. Special report No 19, 2018. Publications Office. https://data.europa.eu/doi/10.2865/105814
7. hsr.ca.gov. (2021). High-Speed Rail in California. California High Speed Rail. https://hsr.ca.gov/high-speed-rail-in-california/
8. James, R. (2009, April 20). A brief history of high-speed rail. Time. http://content.time.com/time/nation/article/0,8599,1892463,00.html
9. Manata, M. (2021). High-speed rail in California moves along, but slowly. https://www.capradio.org/161688
10. Nunno, R. (2018). Fact Sheet | High Speed Rail Development Worldwide | White Papers | EESI. Environmental and Energy Study Institute. https://www.eesi.org/papers/view/fact-sheet-high-speed-rail-development-worldwide
11. Vickerman, R. (1997). High-speed rail in Europe: Experience and issues for future development. The Annals of Regional Science, 31(1), 21–38. https://doi.org/10.1007/s001680050037
12. Xinhua. (2021). China’s high-speed rail lines top 37,900 km at end of 2020. http://english.www.gov.cn/archive/statistics/202101/10/content_WS5ffa36f3c6d0f725769438ad.html

Sustainable Transportation in Latin America. Bus Rapid Transit Systems in Curitiba, Brazil, and TransMilenio in Bogota, Colombia

1. Gilbert, A. (2008). Bus rapid transit: Is Transmilenio a miracle cure? Transport Reviews, 28(4), 439–467. https://doi.org/10.1080/01441640701785733.
2. Hensher, D. A., & Golob, T. F. (2008). Bus rapid transit systems: A comparative assessment. Transportation, 35(4), 501–518. http://dx.doi.org.ezproxy.uta.edu/10.1007/s11116-008-9163-y.
3. Hook, W., Kost, C., Navarro, U., Replogle, M., & Baranda, B. (2010). Carbon dioxide reduction benefits of bus rapid transit systems: Learning from Bogotá, Colombia; Mexico City, Mexico; and Jakarta, Indonesia. Transportation Research Record, 2193(1), 9–16. https://doi.org/10.3141/2193-02.
4. Lindau, L. A., Hidalgo, D., & Facchini, D. (2010). Curitiba, the cradle of bus rapid transit. Built Environment (1978-), 36(3), 274–282. http://www.jstor.org/stable/23289717.
5. Pojani, D., & Stead, D. (2015). Sustainable urban transport in the developing world: Beyond megacities. Sustainability, 7(6), 7784–7805. https://doi.org/10.3390/su7067784.
6. Rodríguez, D. A., & Targa, F. (2004). Value of accessibility to Bogotá’s bus rapid transit system. Transport Reviews, 24(5), 587–610. https://doi.org/10.1080/0144164042000195081.

Case Study VIII. Non-Motorized Transportation in Europe and the United States

1. Babagoli, M. A., Kaufman, T. K., Noyes, P., & Sheffield, P. E. (2019). Exploring the health and spatial equity implications of the New York City bike share system. Journal of Transport & Health, 13, 200–209.
2. Banister, D. (2008). The sustainable mobility paradigm. Transport Policy, 15(2), 73–80. https://doi.org/10.1016/j.tranpol.2007.10.005
3. Buehler, R., Pucher, J., & Altshuler, A. (2017). Vienna’s path to sustainable transport. International Journal of Sustainable Transportation, 11(4), 257–271.
4. Csendes, P., & Opll, F. (2006). Vienna. History of a city. Boehlau.
5. Fishman, E. (2016). Bikeshare: A review of recent literature. Transport Reviews, 36(1), 92–113.
6. Gilbert, R., & Pearl, A. (2007). Transport revolutions: Moving people and freight without oil. Routledge. https://doi.org/10.4324/9781849773454
7. Gössling, S. (2013). Urban transport transitions: Copenhagen, city of cyclists. Journal of Transport Geography, 33(December), 196–206. https://doi.org/10.1016/j.jtrangeo.2013.10.013
8. Jacobsen, P. L. (2015). Safety in numbers: More walkers and bicyclists, safer walking and bicycling. Injury Prevention, 21(4), 271–275.
9. Jeppesen, J. G. (2011). Cyklen Og Byen: En Undersøgelse Af Cyklens Tekniske Og Brugsmæssige Udvikling Samt Analyse Af Cyklismens Interaktion Med Byudvikling Og Byplanlægning [Doctoral dissertation, Historisk Afdeling, Aarhus Universitet].
10. Kamel, M. B., Sayed, T., & Bigazzi, A. (2020). A composite zonal index for biking attractiveness and safety. Accident Analysis & Prevention, 137(March), 105439. https://doi.org/10.1016/j.aap.2020.105439
11. Ogilvie, F., & Goodman, A. (2012). Inequalities in usage of a public bicycle sharing scheme: Socio-demographic predictors of uptake and usage of the London (UK) cycle hire scheme. Preventive Medicine, 55(1), 40–45.
12. Parkes, S. D., Marsden, G., Shaheen, S. A., & Cohen, A. P. (2013). Understanding the diffusion of public bikesharing systems: Evidence from Europe and North America. Journal of Transport Geography, 31(July), 94–103. https://doi.org/10.1016/j.jtrangeo.2013.06.003
13. Pucher, J., Dill, J., & Handy, S. (2010). Infrastructure, programs, and policies to increase bicycling: An international review. Preventive Medicine, 50, S106–S125.
14. Schneider, R. J., & Stefanich, J. (2015). Neighborhood characteristics that support bicycle commuting: Analysis of the top 100 US census tracts. Transportation Research Record, 2520(1), 41–51.
15. Schoner, J. E., & Levinson, D. M. (2014). The missing link: Bicycle infrastructure networks and ridership in 74 US cities. Transportation, 41(6), 1187–1204. https://doi.org/10.1007/s11116-014-9538-1
16. Vassilakou, M. (2015). Vice-Mayor and Minister of Transport for the City of Vienna, 2010–2015, Green Party [Interview by R. Buehler].
17. Wang, M., & Zhou, X. (2017). Bike-sharing systems and congestion: Evidence from US cities. Journal of Transport Geography, 65, 147–154.

Transportation and Climate Change Mitigation. A Life-Cycle Assessment Perspective

1. Anderson, J. E., Wulfhorst, G., & Lang, W. (2015). Comprehensive analysis of the built environment through the introduction of induced impacts via transportation: Detailed case study for the urban region of Munich, Germany. Transportation Research Record, 2500(1), 67–74.
2. Birol, F. (2010). World energy outlook. International Energy Agency 1.
3. Cervero, R. (2004). Transit-oriented development in the United States: Experiences, challenges, and prospects. Vol. 102. Transportation Research Board.
4. Chambers, A., & Nakicenovic, N. (2008). World energy outlook 2008; IEA.
5. Chester, M. V., Nahlik, M. J., Fraser, A. M., Kimball, M. A., & Garikapati, V. M. (2013). Integrating life-cycle environmental and economic assessment with transportation and land use planning. Environmental Science & Technology, 47(21), 12020–28.
6. Darmstadter, J. (2010). World development report 2010: The impacts of climate change. Environment, 52(2), 3.
7. Guerra, E., Li, S., & Reyes, A. (2020). How do low-income commuters get to work in U.S. and Mexican cities? A comparative empirical assessment. Urban Studies, 004209802096544. https://doi.org/10.1177/0042098020965442
8. Hoornweg, D., Sugar, L., & Trejos Gómez, C. L. (2011). Cities and greenhouse gas emissions: Moving forward. Environment and Urbanization, 23(1), 207–27.
9. Jochem, P., Rothengatter, W., & Schade, W. (2016). Climate change and transport. Transportation Research Part D: Transport and Environment, 45, 1–3. https://doi.org/10.1016/j.trd.2016.03.001
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11. Norman, J., MacLean, H. L., & Kennedy, C. A. (2006). Comparing high and low residential density: Life-cycle analysis of energy use and greenhouse gas emissions. Journal of Urban Planning and Development, 132(1), 10–21. https://doi.org/10.1061/(ASCE)0733-9488(2006)132:1(10)
12. VandeWeghe, J. R., & Kennedy, C. (2007). A spatial analysis of residential greenhouse gas emissions in the Toronto Census Metropolitan Area. Journal of Industrial Ecology, 11(2), 133–44

Environmental Impact Assessment. Data, Methodological Approaches, and Examples