Impact assessment of an active transport intervention via systems analytics
The assessment of urban transport interventions is complex, multi-faceted, and context-dependent. This study proposes a multi-methodology approach called systems analytics to evaluate the potential impact of the implementation of temporary bike paths during the COVID-19 pandemic on Bogotá’s bicycle...
- Autores:
-
Wilches-Mogollon, Maria A
Sarmiento, Olga L.
Medaglia, Andrés L.
Montes, Felipe
Guzman, Luis A
Sánchez-Silva, Mauricio
Hidalgo, Darío
Parra, Karla
Useche, Andrés F.
Meisel, Jose D
Ochoa-Montero, Hansel
Rodríguez Castañeda, Natalia
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Universidad de Ibagué
- Repositorio:
- Repositorio Universidad de Ibagué
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unibague.edu.co:20.500.12313/5805
- Acceso en línea:
- https://hdl.handle.net/20.500.12313/5805
https://sciencedirect.unibague.elogim.com/science/article/pii/S1361920924000695
- Palabra clave:
- Transporte activo
Análisis de sistemas
Active transport
Complex systems
Systems analytics
Transport intervention
- Rights
- openAccess
- License
- © 2024 The Author(s)
| id |
UNIBAGUE2_960e250c37d6a137cb7ce737aa958d1d |
|---|---|
| oai_identifier_str |
oai:repositorio.unibague.edu.co:20.500.12313/5805 |
| network_acronym_str |
UNIBAGUE2 |
| network_name_str |
Repositorio Universidad de Ibagué |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Impact assessment of an active transport intervention via systems analytics |
| title |
Impact assessment of an active transport intervention via systems analytics |
| spellingShingle |
Impact assessment of an active transport intervention via systems analytics Transporte activo Análisis de sistemas Active transport Complex systems Systems analytics Transport intervention |
| title_short |
Impact assessment of an active transport intervention via systems analytics |
| title_full |
Impact assessment of an active transport intervention via systems analytics |
| title_fullStr |
Impact assessment of an active transport intervention via systems analytics |
| title_full_unstemmed |
Impact assessment of an active transport intervention via systems analytics |
| title_sort |
Impact assessment of an active transport intervention via systems analytics |
| dc.creator.fl_str_mv |
Wilches-Mogollon, Maria A Sarmiento, Olga L. Medaglia, Andrés L. Montes, Felipe Guzman, Luis A Sánchez-Silva, Mauricio Hidalgo, Darío Parra, Karla Useche, Andrés F. Meisel, Jose D Ochoa-Montero, Hansel Rodríguez Castañeda, Natalia |
| dc.contributor.author.none.fl_str_mv |
Wilches-Mogollon, Maria A Sarmiento, Olga L. Medaglia, Andrés L. Montes, Felipe Guzman, Luis A Sánchez-Silva, Mauricio Hidalgo, Darío Parra, Karla Useche, Andrés F. Meisel, Jose D Ochoa-Montero, Hansel Rodríguez Castañeda, Natalia |
| dc.subject.armarc.none.fl_str_mv |
Transporte activo Análisis de sistemas |
| topic |
Transporte activo Análisis de sistemas Active transport Complex systems Systems analytics Transport intervention |
| dc.subject.proposal.eng.fl_str_mv |
Active transport Complex systems Systems analytics Transport intervention |
| description |
The assessment of urban transport interventions is complex, multi-faceted, and context-dependent. This study proposes a multi-methodology approach called systems analytics to evaluate the potential impact of the implementation of temporary bike paths during the COVID-19 pandemic on Bogotá’s bicycle complex system. The proposed methodology applies systems theory to identify the complexity, barriers, and facilitators of the system and uses statistical and simulation methods to assess the potential impact of temporary bike paths on the safety and quality of life of bicycle users in Bogotá during the COVID-19 pandemic. The results of the case study indicate that the temporary bike paths could have been a factor that helped reduce bicycle collision rates (by 56%), increased the use of street segments classified with low levels of traffic stress (by 6.22%), and prevented premature deaths (145 per year). The proposed methodology is helpful for policymakers who aim to design active transport interventions in support of a sustainable and healthy environment. |
| publishDate |
2024 |
| dc.date.issued.none.fl_str_mv |
2024-03 |
| dc.date.accessioned.none.fl_str_mv |
2025-10-17T23:17:56Z |
| dc.date.available.none.fl_str_mv |
2025-10-17T23:17:56Z |
| dc.type.none.fl_str_mv |
Artículo de revista |
| dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.content.none.fl_str_mv |
Text |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| status_str |
publishedVersion |
| dc.identifier.citation.none.fl_str_mv |
Wilches-Mogollon, M., Sarmiento, O,. Medaglia, A., Montes, F., Guzman, L., Sánchez-Silva, M., Hidalgo, D., Parra, K., Useche, A., Meisel, J., Ochoa-Montero, H. y Rodríguez, N. (2024), Impact assessment of an active transport intervention via systems analytics. Transportation Research Part D: Transport and Environment, 128. DOI: 10.1016/j.trd.2024.104112 |
| dc.identifier.doi.none.fl_str_mv |
10.1016/j.trd.2024.104112 |
| dc.identifier.issn.none.fl_str_mv |
13619209 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12313/5805 |
| dc.identifier.url.none.fl_str_mv |
https://sciencedirect.unibague.elogim.com/science/article/pii/S1361920924000695 |
| identifier_str_mv |
Wilches-Mogollon, M., Sarmiento, O,. Medaglia, A., Montes, F., Guzman, L., Sánchez-Silva, M., Hidalgo, D., Parra, K., Useche, A., Meisel, J., Ochoa-Montero, H. y Rodríguez, N. (2024), Impact assessment of an active transport intervention via systems analytics. Transportation Research Part D: Transport and Environment, 128. DOI: 10.1016/j.trd.2024.104112 10.1016/j.trd.2024.104112 13619209 |
| url |
https://hdl.handle.net/20.500.12313/5805 https://sciencedirect.unibague.elogim.com/science/article/pii/S1361920924000695 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.citationvolume.none.fl_str_mv |
128 |
| dc.relation.ispartofjournal.none.fl_str_mv |
Transportation Research Part D: Transport and Environment |
| dc.relation.references.none.fl_str_mv |
Abdulhafedh, A., Abdulhafedh, A., 2017. Road crash prediction models: Different statistical modeling approaches. J. Transp. Technol. 7, 190–205. https://doi.org/ 10.4236/JTT Abduljabbar, R.L., Liyanage, S., Dia, H., 2021. The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transp. Res. D Transp. Environ. 92, 102734 https://doi.org/10.1016/J.TRD.2021.102734. Ackoff, R.L., 1979. The future of operational research is past. J. Oper. Res. Soc. 30, 93. https://doi.org/10.2307/3009290 Agencia Nacional de Seguridad Vial, 2021. Comparativo Internacional IRTAD [WWW Document]. Agencia Nacional de Seguridad Vial. URL https://ansv.gov.co/es/ o Ainsworth, B.E., Haskell, W.L., Herrmann, S.D., Meckes, N., Bassett Jr, D.R., Tudor-Locke, C., Greer, J.L., Vezina, J., Whitt-Glover, M.C., Leon, A.S., 2011. 2011 Compendium of Physical Activities: a second update of codes and MET values. Med. Sci. Sports Exerc. 43, 1575–1581. https://doi.org/10.1249/ MSS.0b013e318 Aziz, H.M.A., Park, B.H., Morton, A., Stewart, R.N., Hilliard, M., Maness, M., 2018. A high resolution agent-based model to support walk-bicycle infrastructure investment decisions: A case study with New York City. Transp. Res. Part C Emerg. Technol. 86, 280–299. https://doi.org/10.1016/J.TRC.2017.11.008 Becker, S., von Schneidemesser, D., Caseiro, A., Gotting, ¨ K., Schmitz, S., von Schneidemesser, E., 2022. Pop-up cycling infrastructure as a niche innovation for sustainable transportation in European cities: An inter- and transdisciplinary case study of Berlin. Sustain. Cities Soc. 87, 104168 https://doi.org/10.1016/J. SCS.2022.104168. Bedoya-Maya, F., Calatayud, A., Gonz´ alez Mejía, V., 2022. Estimating the effect of road congestion on air quality in Latin America. Transp. Res. D Transp. Environ. 113, 103510 https://doi.org/10.1016/J.TRD.2022.103510 Brooks, J.H.M., Tingay, R., Varney, J., 2021. Social distancing and COVID-19: an unprecedented active transport public health opportunity. Br. J. Sports Med. 55, 411–412. https://doi.org/10.1136/BJSPORTS-2020-102856. Büchel, B., Marra, A.D., Corman, F., 2022. COVID-19 as a window of opportunity for cycling: Evidence from the first wave. Transp. Policy (Oxf.) 116, 144–156. https://doi.org/10.1016/J.TRANPOL.2021.12.003. Buehler, R., Pucher, J., 2023. COVID-19 and cycling: a review of the literature on changes in cycling levels and government policies from 2019 to 2022. https://doi. org/10.1080/01441647.2023.2205178. Burton, S., McDermid, J.A., Garnett Philip, Weaver Rob, 2021. Safer Complex Systems: An Initial Framework. The university of York, York. Cantillo-García, V., Guzman, L.A., Arellana, J., 2019. Socioeconomic strata as proxy variable for household income in transportation research. Evaluation for Bogota, ´ Medellín, Cali and Barranquilla. Dyna (Medellin) 86, 258–267. https://doi.org/10.15446/dyna.v86n211.81821. Carvajal, G.A., Sarmiento, O.L., Medaglia, A.L., Cabrales, S., Rodríguez, D.A., Quistberg, D.A., Lopez, ´ S., 2020. Bicycle safety in Bogot´ a: A seven-year analysis of bicyclists’ collisions and fatalities. Accid. Anal. Prev. 144, 105596 https://doi.org/10.1016/J.AAP.2020.105596. Cascetta, E., Pagliara, F., Papola, A., 2007. Governance of urban mobility: Complex systems and integrated policies. Adv. Complex Syst. 10, 339–354. https://doi.org/ 10.1142/S0219525907001392. Castillo, C., Viu-Roig, M., Alvarez-Palau, E.J., 2022. COVID-19 lockdown as an opportunity to rethink urban freight distribution: Lessons from the Barcelona metropolitan area. Transp. Res. Interdiscip. Perspect. 14, 100605 https://doi.org/10.1016/J.TRIP.2022.100605 Chekroud, S.R., Gueorguieva, R., Zheutlin, A.B., Paulus, M., Krumholz, H.M., Krystal, J.H., Chekroud, A.M., 2018. Association between physical exercise and mental health in 1⋅2 million individuals in the USA between 2011 and 2015: a cross-sectional study. Lancet Psychiatry 5, 739–746. https://doi.org/10.1016/S2215-0366 (18)30227-X Chen, C., Anderson, J.C., Wang, H., Wang, Y., Vogt, R., Hernandez, S., 2017. How bicycle level of traffic stress correlate with reported cyclist accidents injury severities: A geospatial and mixed logit analysis. Accid. Anal. Prev. 108, 234–244. https://doi.org/10.1016/J.AAP.2017.09.001 Combes, F., van Nes, R., 2012. A simple representation of a complex urban transport system based on the analysis of transport demand: The case of Region Ile-deFrance. Procedia Soc. Behav. Sci. 48, 3030–3039. https://doi.org/10.1016/J.SBSPRO.2012.06.1270. Combs, T.S., Pardo, C.F., 2021. Shifting streets COVID-19 mobility data: Findings from a global dataset and a research agenda for transport planning and policy. Transp. Res. Interdiscip. Perspect. 9, 100322 https://doi.org/10.1016/J.TRIP.2021.100322 Consejo de Bogot´ a D.C, 2021. Acuerdo 804 del 2021: “por medio del cual se declara la bicicleta como medio de transporte prioritario en Bogota. ´ ” Consejo de Bogota, ´ Bogota. Crooks, A.T., Heppenstall, A.J., 2012. Introduction to agent-based modelling. In: Heppenstall, A., Crooks, A., See, L.M., Batty, M. (Eds.), Agent-Based Models of Geographical Systems. Springer, Netherlands, pp. 85–105. https://doi.org/10.1007/978-90-481-8927-4_5. Cusack, M., 2021. Individual, social, and environmental factors associated with active transportation commuting during the COVID-19 pandemic. J. Transp. Health 22, 101089. https://doi.org/10.1016/J.JTH.2021.101089. Dill, J., McNeil, N., 2016. Revisiting the four types of cyclists: Findings from a national survey. Transp. Res. Rec. 2587 (1), 90–99. https://doi.org/10.3141/2587-11 Dons, E., Rojas-Rueda, D., Anaya-Boig, E., Avila-Palencia, I., Brand, C., Cole-Hunter, T., de Nazelle, A., Eriksson, U., Gaupp-Berghausen, M., Gerike, R., Kahlmeier, S., Laeremans, M., Mueller, N., Nawrot, T., Nieuwenhuijsen, M.J., Orjuela, J.P., Racioppi, F., Raser, E., Standaert, A., Int Panis, L., Gotschi, ¨ T., 2018. Transport mode choice and body mass index: Cross-sectional and longitudinal evidence from a European-wide study. Environ. Int. 119, 109–116. https://doi.org/10.1016/J. ENVINT.2018.06.02 Engineering X (2022). Safer Complex Systems Case Studies. Royal Academy of Engineering. [WWW site with open access pdfs] URL: https://engineeringx.raeng.org. uk/scs-case-studies (accessed 2.5.24). Espejo Raul, Reyes, A., 2011. Unfolding of Complexity: Modelling the Transformation’s Complexity, in: Organizational Systems: Managing Complexity with the Viable System Model. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 135–164. https://doi.org/10.1007/978-3-642-19109-1_8. Estupinan, ˜ N.F., Duran Hernandez, B.I., Ramirez, F., 2020. Informe t´ecnico Ciclovías Temporales por COVID-19. Bogot´ a. Faulin, J., Grasman, S.E., Juan, A.A., Hirsch, P., 2018. Sustainable Transportation: Concepts and Current Practices, Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions. Elsevier Inc. . Fischer, J., Nelson, T., Winters, M., 2022. Riding through the pandemic: Using Strava data to monitor the impacts of COVID-19 on spatial patterns of bicycling. Transp. Res. Interdiscip. Perspect. 15, 100667 https://doi.org/10.1016/J.TRIP.2022.100667. Furth, P.G., Mekuria, M.C., Nixon, H., 2016. Network connectivity for low-stress bicycing. Transp. Res. Rec. 2587, 41–49. https://doi.org/10.3141/2587-06 Google LLC, 2022. COVID-19 Community Mobility Reports [WWW Document]. Google LLC. URL https://www.google.com/covid19/mobility/ (accessed 9.9.21). Guariguata L, Unwin N, Garcia L, Woodcock J, Samuels TA, Guell C. Systems science for developing policy to improve physical activity, the Caribbean. Bull World Health Organ. 2021 Oct 1;99(10):722-729. doi: 10.2471/BLT.20.285297. Epub 2021 Aug 13. PMID: 34621090; PMCID: PMC8477427. Hernandez ´ Sampieri, R., Fern´ andez Collado, C., Baptista Lucio, M. del P., 2014. Recoleccion ´ y analisis ´ de los datos cualitativos, in: Metodología de La Investigacion. ´ McGraw-Hill, Mexico DF Hidalgo, D., Miranda, L., Lleras, N., Ríos, J., 2016. Al Colegio en Bici: Bike-to-School Program in Bogot´ a, Colombia. Transp. Res. Record 2581 (1), 66–70. https://doi. org/10.3141/2581-08 Higuera-Mendieta, D., Uriza, P.A., Cabrales, S.A., Medaglia, A.L., Guzman, L.A., Sarmiento, O.L., 2021. Is the built-environment at origin, on route, and at destination associated with bicycle commuting? A gender-informed approach. J. Transp. Geogr. 94, 103120 https://doi.org/10.1016/J.JTRANGEO.2021.103120. Hovmand, P.S., 2014. Community based system dynamics, First. ed, Community Based System Dynamics. Springer, New York. https://doi.org/10.1007/978-1-4614- 8763-0 Huertas, J.A., Palacio, A., Botero, M., Carvajal, G.A., van Laake, T., Higuera-Mendieta, D., Cabrales, S.A., Guzman, L.A., Sarmiento, O.L., Medaglia, A.L., 2020. Level of traffic stress-based classification: A clustering approach for Bogota, ´ Colombia. Transp. Res. D Transp. Environ. 85, 1–23. https://doi.org/10.1016/j. trd.2020.102420. IDRD,2020. Resolucion ´ 139 de 2020 Jo, H., Shin, E., Kim, H., 2020. The spatial characteristics of bicycle-to-person collisions: a focus on bicycle paths of the Han River Park in Seoul, Korea. Int. J. Urban Sci. 24, 578–592. https://doi.org/10.1080/12265934.2020.1743740. Johnson, N., 2009. Simply complexity: A clear guide to complexity theory. Simon and Schuster. Kahlmeier, S., Gotschi, ¨ T., Cavill, N., Fernandez, A.C., Brand, C., Rueda, D.R., Woodcock, J., Kelly, P., Lieb, C., Oja, P., Foster, C., Rutter, H., Racioppi, F., 2017. Health economic assessment tools (HEAT) for walking and for cycling: Methods and user guide on physical activity, air pollution, injuries and carbon impact assessments, Health economic assessment tools (HEAT) for walking and for cycling: Methods and user guide on physical activity, air pollution, injuries and carbon impact assessments. World Health Organization | WHO Regional Office for Europe, Copenhagen. Kaziyeva, D., Loidl, M., Wallentin, G., 2021. Simulating spatio-temporal patterns of bicycle flows with an agent-based model. ISPRS Int. J. Geoinf. 10 https://doi.org/ 10.3390/ijgi10020 Kraus, S., Koch, N., 2021. Provisional COVID-19 infrastructure induces large, rapid increases in cycling. Proc. Natl. Acad. Sci. U. S. A. 118 https://doi.org/10.1073/ PNAS.20243 Lemoine, P.D., Sarmiento, O.L., Pinzon, ´ J.D., Meisel, J.D., Montes, F., Hidalgo, D., Pratt, M., Zambrano, J.M., Cordovez, J.M., Zarama, R., 2016. TransMilenio, a scalable bus rapid transit system for promoting physical activity. J. Urban Health. https://doi.org/10.1007/s11524-015-0019-4. Lopez-Olmedo, N., Indivik, K., Vidana-Perez, ˜ D., Barrientos-Gutierrez, T., Perez, C., Sarmiento, O.L., Rodriguez, D., Bolinaga, A., Slesinski, C., Diez-Roux, A., 2020. El transporte público colectivo y en transporte activo en tiempos de pandemia. Philadelphia. Macmillan, Alexandra & Woodcock, James. (2017). Understanding bicycling in cities using system dynamics modelling. Journal of Transport & Health. In Press. 10.1016/j.jth.2017.08.002. Macmillan, A., Connor, J., Witten, K., Kearns, R., Rees, D., Woodward, A., 2014. The societal costs and benefits of commuter bicycling: simulating the effects of specific policies using system dynamics modeling. Environ. Health Perspect. 122 https://doi.org/10.1289/ehp.1307250. Marquez, ´ L., Soto, J.J., 2021. Integrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferences. Transp. Res. Part A Policy Pract. 150, 285–301. https://doi.org/10.1016/J.TRA.2021.06.017. Marquez, ´ L., Cantillo, V., Arellana, J., 2021. How do the characteristics of bike lanes influence safety perception and the intention to use cycling as a feeder mode to BRT? Travel. Behav. Soc. 24, 205–217. https://doi.org/10.1016/J.TBS.2021.04.005. Martin, A., Goryakin, Y., Suhrcke, M., 2014. Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey. Prev. Med. (Baltim.) 69, 296. https://doi.org/10.1016/J.YPMED.2014.08.023 Meisel JD, Sarmiento OL, Montes F, Martinez EO, Lemoine PD, Valdivia JA, Brownson RC, Zarama R. Network analysis of Bogot´ a’s Ciclovía Recreativa, a selforganized multisectorial community program to promote physical activity in a middle-income country. Am J Health Promot. 2014 May-Jun;28(5):e127-36. https://doi.org/10.4278/ajhp.120912-QUAN-443. Mekuria, M.C., Furth, P.G., Nixon, H., 2012. Low-Stress Bicycling and Network Connectivity. San Jos´e. Melo, P.C., 2022. Will COVID-19 hinder or aid the transition to sustainable urban mobility? Spotlight on Portugal’s largest urban agglomeration. Reg. Sci. Policy Pract. 14, 80–106. https://doi.org/10.1111/RSP3.12518. Meyer, M.W., 2020. COVID Lockdowns, Social Distancing, and Fatal Car Crashes: More Deaths on Hobbesian Highways? Cambridge Journal of Evidence-Based Policing 2020 4:3 4, 238–259. https://doi.org/10.1007/S41887-020-00059-8. Ministerio de Transporte de Colombia, 2016. Guía de ciclo-infraestructura para ciudades colombianas Moeckel, R., Kuehnel, N., Llorca, C., Moreno, A.T., Rayaprolu, H., 2020. Agent-based simulation to improve policy sensitivity of trip-based models. J. Adv. Transp. 2020 https://doi.org/10.1155/2020/1902162 Müller, B., Bohn, F., Dreßler, G., Groeneveld, J., Klassert, C., Martin, R., Schlüter, M., Schulze, J., Weise, H., Schwarz, N., 2013. Describing human decisions in agentbased models – ODD + D, an extension of the ODD protocol. Environ. Model. Softw. 48, 37–48. https://doi.org/10.1016/j.envsoft.2013.06.003. NACTO, 2020. Streets for Pandemic Response & Recovery. New York. Nundy, S., Ghosh, A., Mesloub, A., Albaqawy, G.A., Alnaim, M.M., 2021. Impact of COVID-19 pandemic on socio-economic, energy-environment and transport sector globally and sustainable development goal (SDG). J. Clean. Prod. 312, 127705 https://doi.org/10.1016/J.JCLEPRO.2021.127705. OECD, International Transport Forum, 2013. Cycling, Health and Safety, ITF Research Reports. OECD. https://doi.org/10.1787/9789282105955-EN. OECD Global Science Forum, 2009. Applications of Complexity Science for Public Policy: New Tools for Finding Unanticipated Consequences and Unrealized Opportunities. OECD Pearson, L., Berkovic, D., Reeder, S., Gabbe, B., Beck, B., 2023. Adults’ self-reported barriers and enablers to riding a bike for transport: a systematic review. Transp. Rev. 43 (3), 356–384. https://doi.org/10.1080/01441647.2022.2113570. Pebesma, E., 2018. Simple Features for R [R package sf version 1.0-2]. Qu, T., Gates, T.J., Xu, C., Seguin, D., Kay, J., 2022. The disparate impact of COVID-19 pandemic on walking and biking behaviors. Transp. Res. D Transp. Environ. 112, 103494 https://doi.org/10.1016/J.TRD.2022.103494 R Core Team, 2018. R A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. - References - Scientific Research Publishing [WWW Document]. URL https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=2342186 (accessed 8.19.21) Ravazzoli, E., Torricelli, G.P., 2022. Urban mobility and public space. A challenge for the sustainable liveable city of the future. J. Public Space 2, 37–50. https://doi. org/10.5204/JPS Raza, W., Krachler, B., Forsberg, B., Sommar, J.N., 2020. Health benefits of leisure time and commuting physical activity: A meta-analysis of effects on morbidity. J. Transp. Health 18, 100873. https://doi.org/10.1016/J.JTH.2020.100873 R´erat, P., Haldimann, L., Widmer, H., 2022. Cycling in the era of Covid-19: The effects of the pandemic and pop-up cycle lanes on cycling practices. Transp. Res. Interdiscip. Perspect. 15, 10067 Rodrigue, J.-P., 2020. The Geography of Transport Systems, 5th ed, The Geography of Transport Systems. Routledge, London. https://doi.org/10.4324/ 9780429346 Rodriguez-Valencia, A., Rosas-Satiz´ abal, D., Gordo, D., Ochoa, A., 2019. Impact of household proximity to the cycling network on bicycle ridership: The case of Bogota. ´ J. Transp. Geogr. 79, 102480 https://doi.org/10.1016/J.JTRANGEO.2019.102480. Rojas-Rueda, D., de Nazelle, A., Tainio, M., Nieuwenhuijsen, M.J., 2011. The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study. BMJ 343. https://doi.org/10.1136/BMJ.D4521. Rosas-Satiz´ abal, D., Guzman, L.A., Oviedo, D., 2020. Cycling diversity, accessibility, and equality: An analysis of cycling commuting in Bogota. ´ Transp. Res. D Transp. Environ. 88 https://doi.org/10.1016/j.trd.2020.102562. Rosas-Satiz´ abal, D., Rodriguez-Valencia, A., 2019. Factors and policies explaining the emergence of the bicycle commuter in Bogot´ a. Case Stud. Transp. Policy 7, 138–149. https://doi.org/10.1016/J.CSTP.2018.12.007. Ryu, S., 2020. A bicycle origin-destination matrix estimation based on a two-stage procedure. Sustainability (Switzerland) 12, 1–14. https://doi.org/10.3390/ su120 Schaefer, K.J., Tuitjer, L., Levin-Keitel, M., 2021. Transport disrupted – Substituting public transport by bike or car under Covid 19. Transp. Res. Part A Policy Pract. 153, 202–217. https://doi.org/10.1016/J.TRA.2021.09.002. Secretaría Distrital de Movilidad, 2019. Encuesta de Movilidad 2019. Bogot´ a. Secretaría Distrital de Movilidad, 2021. Bogot´ a Capital Mundial de la Bici [WWW Document]. URL https://www.movilidadbogota.gov.co/web/plan_bici (accessed 8.18.21). Secretaría Distrital de Salud, 2021. SaluData - Observatorio de Salud de Bogota ´ [WWW Document]. Sheard, S., Cook, S., Honour, E., Hybertson, D., Krupa, J., McEver, J., McKinney, D., Ondrus, P., Ryan, A., Scheurer, R.P., Singer, J., Sparber, J., White, B., 2015. A Complexity Primer for Systems Engineers 1 INCOSE Complex Systems Working Group White Paper Sivasankaran, S.K., Balasubramanian, V., 2020. Exploring the severity of bicycle – Vehicle crashes using latent class clustering approach in India. J. Saf. Res. 72, 127–138. https://doi.org/10.1016/j.jsr.2019.12.012. Sterman, J.D. (2000), Business Dynamics: Systems Thinking and Modeling for a Complex World, McGraw-Hill/Irwin. Taillandier, P., Gaudou, B., Grignard, A., Huynh, Q.-N., Marilleau, N., Caillou, P., Philippon, D., Drogoul, A., 2018. Building, composing and experimenting complex spatial models with the GAMA platform. GeoInformatica 2018 23:2 23, 299–322. https://doi.org/10.1007/S10707-018-00339-6. Teixeira, J.F., Cunha, I., 2023. The effects of COVID-19 on female and male bike sharing users: Insights from Lisbon’s GIRA. Cities 132, 104058. https://doi.org/ 10.1016/J.CITIES.2022.104058. Thommen Dombois, O., Braun-Fahrl¨ ander, C., Martin-Diener, E., 2007. Comparison of adult physical activity levels in three Swiss alpine communities with varying access to motorized transportation. Health Place 13, 757–766. https://doi.org/10.1016/J.HEALTHPLACE.2006.12.002. Torres, A., Sarmiento, O.L., Stauber, C., Zarama, R., 2013. The Ciclovia and Cicloruta programs: Promising interventions to promote physical activity and social capital in Bogot´ a, Colombia. Am. J. Public Health 103, e23. https://doi.org/10.2105/AJPH.2012.301142. Vallejo-Borda, J.A., Bhaduri, E., Ortiz-Ramirez, H.A., Arellana, J., Choudhury, C.F., Rodriguez-Valencia, A., Wadud, Z., Goswami, A.K., 2023. Modeling the COVID-19 travel choices in Colombia and India: A hybrid multiple discrete-continuous nested extreme value approach. Transp. Res. Rec. 4, 2677. https://doi.org/10.1177/ 03611981231162588. VanHoose, K., de Gante, A.R., Bertolini, L., Kinigadner, J., Büttner, B., 2022. From temporary arrangements to permanent change: Assessing the transitional capacity of city street experiments. J. Urban Mobility 2, 100015. https://doi.org/10.1016/J.URBMOB.2022.100015. ViveLab Bogota, ´ 2021. Fatos abiertos Bogot´ a – Red de cicloruta [WWW Document]. URL https://datosabiertos.bogota.gov.co/dataset/cicloruta-bogota-d-c (accessed 8.18.21) von Schonfeld, ¨ K.C., Bertolini, L., 2016. Urban streets between public space and mobility. Transp. Res. Procedia 19, 300–302. https://doi.org/10.1016/J. TR Wang, X., Rodríguez, D.A., Sarmiento, O.L., Guaje, O., 2019. Commute patterns and depression: Evidence from eleven Latin American cities. J. Transp. Health 14, 1–19. https://doi.org/10.1016/j.jth.2019.100607. Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L.D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T.L., Miller, E., Bache, S.M., Müller, K., Ooms, J., Robinson, D., Seidel, D.P., Spinu, V., Takahashi, K., Vaughan, D., Wilke, C., Woo, K., Yutani, H., 2019. Welcome to the Tidyverse. J. Open Source Softw. 4, 1686. https://doi.org/10.21105/JOSS.01686. World Health Organization (WHO), 2011. Global Recommendations on Physical Activity for Health: 18–64 Years Old. Zhang, C., Du, B., Zheng, Z., Shen, J., 2023. Space sharing between pedestrians and micro-mobility vehicles: A systematic review. Transp. Res. D Transp. Environ. 116, 103629 https://doi.org/10.1016/J.TRD.2023.103629. Ziemke, D., Metzler, S., Nagel, K., 2017. Modeling bicycle traffic in an agent-based transport simulation. Procedia Comput. Sci. 109, 923–928. https://doi.org/ 10.1016/J.PROCS |
| dc.rights.eng.fl_str_mv |
© 2024 The Author(s) |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.license.none.fl_str_mv |
Atribución 4.0 Internacional (CC BY 4.0) |
| dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
| rights_invalid_str_mv |
© 2024 The Author(s) http://purl.org/coar/access_right/c_abf2 Atribución 4.0 Internacional (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.mimetype.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Rodríguez Castañeda, Natalia |
| dc.publisher.place.none.fl_str_mv |
Reino Unido |
| publisher.none.fl_str_mv |
Rodríguez Castañeda, Natalia |
| institution |
Universidad de Ibagué |
| bitstream.url.fl_str_mv |
https://repositorio.unibague.edu.co/bitstreams/d26694d2-47f9-473e-a9e1-bc7ad68f1359/download https://repositorio.unibague.edu.co/bitstreams/463714c3-01b1-4162-bdaf-cff3d3de79ee/download https://repositorio.unibague.edu.co/bitstreams/6ebb56c7-abe7-4b57-9436-1c4c163a1e1d/download https://repositorio.unibague.edu.co/bitstreams/919d104b-a562-4414-b5c8-78907841f296/download |
| bitstream.checksum.fl_str_mv |
2fa3e590786b9c0f3ceba1b9656b7ac3 d98391307a2a0ae465c6b620a5f974aa cdf51dc94f83eb7a9aad9017c1f628c9 8481f0fb6baea8cdf568ae3eda039be8 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional Universidad de Ibagué |
| repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
| _version_ |
1851059993325862912 |
| spelling |
Wilches-Mogollon, Maria A40bc8363-e3e9-4ef4-be0b-16d1d3783eb5-1Sarmiento, Olga L.0257d427-ff03-4e61-9aec-d3a824f01bc2-1Medaglia, Andrés L.b3b3dd34-daeb-4112-920a-36b51f1b3b0d-1Montes, Felipe512f5570-61cd-4fe8-afe6-680bb268a930-1Guzman, Luis Ac8fc6b9f-e145-4a27-bd4a-1e56735b070f-1Sánchez-Silva, Mauriciof894e4a6-e9d0-44a5-b0dc-48f1ef4f1e04-1Hidalgo, Daríoe541e539-07cf-4709-a0a7-b0dbd2607d32-1Parra, Karlabaf77d31-2956-4525-9c71-b2ac9b74871e-1Useche, Andrés F.377003c5-fe48-4065-adc2-84b47d4e609b-1Meisel, Jose Dfb6ee7e4-d71a-4ad0-ada1-224714cb0696-1Ochoa-Montero, Hansel481f9860-3cc6-4cec-b1ba-1977e19916e1-1Rodríguez Castañeda, Natalia2038cc8e-19d0-41ee-bb90-c77053387e2c-12025-10-17T23:17:56Z2025-10-17T23:17:56Z2024-03The assessment of urban transport interventions is complex, multi-faceted, and context-dependent. This study proposes a multi-methodology approach called systems analytics to evaluate the potential impact of the implementation of temporary bike paths during the COVID-19 pandemic on Bogotá’s bicycle complex system. The proposed methodology applies systems theory to identify the complexity, barriers, and facilitators of the system and uses statistical and simulation methods to assess the potential impact of temporary bike paths on the safety and quality of life of bicycle users in Bogotá during the COVID-19 pandemic. The results of the case study indicate that the temporary bike paths could have been a factor that helped reduce bicycle collision rates (by 56%), increased the use of street segments classified with low levels of traffic stress (by 6.22%), and prevented premature deaths (145 per year). The proposed methodology is helpful for policymakers who aim to design active transport interventions in support of a sustainable and healthy environment.application/pdfWilches-Mogollon, M., Sarmiento, O,. Medaglia, A., Montes, F., Guzman, L., Sánchez-Silva, M., Hidalgo, D., Parra, K., Useche, A., Meisel, J., Ochoa-Montero, H. y Rodríguez, N. (2024), Impact assessment of an active transport intervention via systems analytics. Transportation Research Part D: Transport and Environment, 128. DOI: 10.1016/j.trd.2024.10411210.1016/j.trd.2024.10411213619209https://hdl.handle.net/20.500.12313/5805https://sciencedirect.unibague.elogim.com/science/article/pii/S1361920924000695engRodríguez Castañeda, NataliaReino Unido128Transportation Research Part D: Transport and EnvironmentAbdulhafedh, A., Abdulhafedh, A., 2017. Road crash prediction models: Different statistical modeling approaches. J. Transp. Technol. 7, 190–205. https://doi.org/ 10.4236/JTTAbduljabbar, R.L., Liyanage, S., Dia, H., 2021. The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transp. Res. D Transp. Environ. 92, 102734 https://doi.org/10.1016/J.TRD.2021.102734.Ackoff, R.L., 1979. The future of operational research is past. J. Oper. Res. Soc. 30, 93. https://doi.org/10.2307/3009290Agencia Nacional de Seguridad Vial, 2021. Comparativo Internacional IRTAD [WWW Document]. Agencia Nacional de Seguridad Vial. URL https://ansv.gov.co/es/ oAinsworth, B.E., Haskell, W.L., Herrmann, S.D., Meckes, N., Bassett Jr, D.R., Tudor-Locke, C., Greer, J.L., Vezina, J., Whitt-Glover, M.C., Leon, A.S., 2011. 2011 Compendium of Physical Activities: a second update of codes and MET values. Med. Sci. Sports Exerc. 43, 1575–1581. https://doi.org/10.1249/ MSS.0b013e318Aziz, H.M.A., Park, B.H., Morton, A., Stewart, R.N., Hilliard, M., Maness, M., 2018. A high resolution agent-based model to support walk-bicycle infrastructure investment decisions: A case study with New York City. Transp. Res. Part C Emerg. Technol. 86, 280–299. https://doi.org/10.1016/J.TRC.2017.11.008Becker, S., von Schneidemesser, D., Caseiro, A., Gotting, ¨ K., Schmitz, S., von Schneidemesser, E., 2022. Pop-up cycling infrastructure as a niche innovation for sustainable transportation in European cities: An inter- and transdisciplinary case study of Berlin. Sustain. Cities Soc. 87, 104168 https://doi.org/10.1016/J. SCS.2022.104168.Bedoya-Maya, F., Calatayud, A., Gonz´ alez Mejía, V., 2022. Estimating the effect of road congestion on air quality in Latin America. Transp. Res. D Transp. Environ. 113, 103510 https://doi.org/10.1016/J.TRD.2022.103510Brooks, J.H.M., Tingay, R., Varney, J., 2021. Social distancing and COVID-19: an unprecedented active transport public health opportunity. Br. J. Sports Med. 55, 411–412. https://doi.org/10.1136/BJSPORTS-2020-102856.Büchel, B., Marra, A.D., Corman, F., 2022. COVID-19 as a window of opportunity for cycling: Evidence from the first wave. Transp. Policy (Oxf.) 116, 144–156. https://doi.org/10.1016/J.TRANPOL.2021.12.003.Buehler, R., Pucher, J., 2023. COVID-19 and cycling: a review of the literature on changes in cycling levels and government policies from 2019 to 2022. https://doi. org/10.1080/01441647.2023.2205178.Burton, S., McDermid, J.A., Garnett Philip, Weaver Rob, 2021. Safer Complex Systems: An Initial Framework. The university of York, York.Cantillo-García, V., Guzman, L.A., Arellana, J., 2019. Socioeconomic strata as proxy variable for household income in transportation research. Evaluation for Bogota, ´ Medellín, Cali and Barranquilla. Dyna (Medellin) 86, 258–267. https://doi.org/10.15446/dyna.v86n211.81821.Carvajal, G.A., Sarmiento, O.L., Medaglia, A.L., Cabrales, S., Rodríguez, D.A., Quistberg, D.A., Lopez, ´ S., 2020. Bicycle safety in Bogot´ a: A seven-year analysis of bicyclists’ collisions and fatalities. Accid. Anal. Prev. 144, 105596 https://doi.org/10.1016/J.AAP.2020.105596.Cascetta, E., Pagliara, F., Papola, A., 2007. Governance of urban mobility: Complex systems and integrated policies. Adv. Complex Syst. 10, 339–354. https://doi.org/ 10.1142/S0219525907001392.Castillo, C., Viu-Roig, M., Alvarez-Palau, E.J., 2022. COVID-19 lockdown as an opportunity to rethink urban freight distribution: Lessons from the Barcelona metropolitan area. Transp. Res. Interdiscip. Perspect. 14, 100605 https://doi.org/10.1016/J.TRIP.2022.100605Chekroud, S.R., Gueorguieva, R., Zheutlin, A.B., Paulus, M., Krumholz, H.M., Krystal, J.H., Chekroud, A.M., 2018. Association between physical exercise and mental health in 1⋅2 million individuals in the USA between 2011 and 2015: a cross-sectional study. Lancet Psychiatry 5, 739–746. https://doi.org/10.1016/S2215-0366 (18)30227-XChen, C., Anderson, J.C., Wang, H., Wang, Y., Vogt, R., Hernandez, S., 2017. How bicycle level of traffic stress correlate with reported cyclist accidents injury severities: A geospatial and mixed logit analysis. Accid. Anal. Prev. 108, 234–244. https://doi.org/10.1016/J.AAP.2017.09.001Combes, F., van Nes, R., 2012. A simple representation of a complex urban transport system based on the analysis of transport demand: The case of Region Ile-deFrance. Procedia Soc. Behav. Sci. 48, 3030–3039. https://doi.org/10.1016/J.SBSPRO.2012.06.1270.Combs, T.S., Pardo, C.F., 2021. Shifting streets COVID-19 mobility data: Findings from a global dataset and a research agenda for transport planning and policy. Transp. Res. Interdiscip. Perspect. 9, 100322 https://doi.org/10.1016/J.TRIP.2021.100322Consejo de Bogot´ a D.C, 2021. Acuerdo 804 del 2021: “por medio del cual se declara la bicicleta como medio de transporte prioritario en Bogota. ´ ” Consejo de Bogota, ´ Bogota.Crooks, A.T., Heppenstall, A.J., 2012. Introduction to agent-based modelling. In: Heppenstall, A., Crooks, A., See, L.M., Batty, M. (Eds.), Agent-Based Models of Geographical Systems. Springer, Netherlands, pp. 85–105. https://doi.org/10.1007/978-90-481-8927-4_5.Cusack, M., 2021. Individual, social, and environmental factors associated with active transportation commuting during the COVID-19 pandemic. J. Transp. Health 22, 101089. https://doi.org/10.1016/J.JTH.2021.101089.Dill, J., McNeil, N., 2016. Revisiting the four types of cyclists: Findings from a national survey. Transp. Res. Rec. 2587 (1), 90–99. https://doi.org/10.3141/2587-11Dons, E., Rojas-Rueda, D., Anaya-Boig, E., Avila-Palencia, I., Brand, C., Cole-Hunter, T., de Nazelle, A., Eriksson, U., Gaupp-Berghausen, M., Gerike, R., Kahlmeier, S., Laeremans, M., Mueller, N., Nawrot, T., Nieuwenhuijsen, M.J., Orjuela, J.P., Racioppi, F., Raser, E., Standaert, A., Int Panis, L., Gotschi, ¨ T., 2018. Transport mode choice and body mass index: Cross-sectional and longitudinal evidence from a European-wide study. Environ. Int. 119, 109–116. https://doi.org/10.1016/J. ENVINT.2018.06.02Engineering X (2022). Safer Complex Systems Case Studies. Royal Academy of Engineering. [WWW site with open access pdfs] URL: https://engineeringx.raeng.org. uk/scs-case-studies (accessed 2.5.24).Espejo Raul, Reyes, A., 2011. Unfolding of Complexity: Modelling the Transformation’s Complexity, in: Organizational Systems: Managing Complexity with the Viable System Model. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 135–164. https://doi.org/10.1007/978-3-642-19109-1_8.Estupinan, ˜ N.F., Duran Hernandez, B.I., Ramirez, F., 2020. Informe t´ecnico Ciclovías Temporales por COVID-19. Bogot´ a.Faulin, J., Grasman, S.E., Juan, A.A., Hirsch, P., 2018. Sustainable Transportation: Concepts and Current Practices, Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions. Elsevier Inc. .Fischer, J., Nelson, T., Winters, M., 2022. Riding through the pandemic: Using Strava data to monitor the impacts of COVID-19 on spatial patterns of bicycling. Transp. Res. Interdiscip. Perspect. 15, 100667 https://doi.org/10.1016/J.TRIP.2022.100667.Furth, P.G., Mekuria, M.C., Nixon, H., 2016. Network connectivity for low-stress bicycing. Transp. Res. Rec. 2587, 41–49. https://doi.org/10.3141/2587-06Google LLC, 2022. COVID-19 Community Mobility Reports [WWW Document]. Google LLC. URL https://www.google.com/covid19/mobility/ (accessed 9.9.21).Guariguata L, Unwin N, Garcia L, Woodcock J, Samuels TA, Guell C. Systems science for developing policy to improve physical activity, the Caribbean. Bull World Health Organ. 2021 Oct 1;99(10):722-729. doi: 10.2471/BLT.20.285297. Epub 2021 Aug 13. PMID: 34621090; PMCID: PMC8477427.Hernandez ´ Sampieri, R., Fern´ andez Collado, C., Baptista Lucio, M. del P., 2014. Recoleccion ´ y analisis ´ de los datos cualitativos, in: Metodología de La Investigacion. ´ McGraw-Hill, Mexico DFHidalgo, D., Miranda, L., Lleras, N., Ríos, J., 2016. Al Colegio en Bici: Bike-to-School Program in Bogot´ a, Colombia. Transp. Res. Record 2581 (1), 66–70. https://doi. org/10.3141/2581-08Higuera-Mendieta, D., Uriza, P.A., Cabrales, S.A., Medaglia, A.L., Guzman, L.A., Sarmiento, O.L., 2021. Is the built-environment at origin, on route, and at destination associated with bicycle commuting? A gender-informed approach. J. Transp. Geogr. 94, 103120 https://doi.org/10.1016/J.JTRANGEO.2021.103120.Hovmand, P.S., 2014. Community based system dynamics, First. ed, Community Based System Dynamics. Springer, New York. https://doi.org/10.1007/978-1-4614- 8763-0Huertas, J.A., Palacio, A., Botero, M., Carvajal, G.A., van Laake, T., Higuera-Mendieta, D., Cabrales, S.A., Guzman, L.A., Sarmiento, O.L., Medaglia, A.L., 2020. Level of traffic stress-based classification: A clustering approach for Bogota, ´ Colombia. Transp. Res. D Transp. Environ. 85, 1–23. https://doi.org/10.1016/j. trd.2020.102420.IDRD,2020. Resolucion ´ 139 de 2020Jo, H., Shin, E., Kim, H., 2020. The spatial characteristics of bicycle-to-person collisions: a focus on bicycle paths of the Han River Park in Seoul, Korea. Int. J. Urban Sci. 24, 578–592. https://doi.org/10.1080/12265934.2020.1743740.Johnson, N., 2009. Simply complexity: A clear guide to complexity theory. Simon and Schuster.Kahlmeier, S., Gotschi, ¨ T., Cavill, N., Fernandez, A.C., Brand, C., Rueda, D.R., Woodcock, J., Kelly, P., Lieb, C., Oja, P., Foster, C., Rutter, H., Racioppi, F., 2017. Health economic assessment tools (HEAT) for walking and for cycling: Methods and user guide on physical activity, air pollution, injuries and carbon impact assessments, Health economic assessment tools (HEAT) for walking and for cycling: Methods and user guide on physical activity, air pollution, injuries and carbon impact assessments. World Health Organization | WHO Regional Office for Europe, Copenhagen.Kaziyeva, D., Loidl, M., Wallentin, G., 2021. Simulating spatio-temporal patterns of bicycle flows with an agent-based model. ISPRS Int. J. Geoinf. 10 https://doi.org/ 10.3390/ijgi10020Kraus, S., Koch, N., 2021. Provisional COVID-19 infrastructure induces large, rapid increases in cycling. Proc. Natl. Acad. Sci. U. S. A. 118 https://doi.org/10.1073/ PNAS.20243Lemoine, P.D., Sarmiento, O.L., Pinzon, ´ J.D., Meisel, J.D., Montes, F., Hidalgo, D., Pratt, M., Zambrano, J.M., Cordovez, J.M., Zarama, R., 2016. TransMilenio, a scalable bus rapid transit system for promoting physical activity. J. Urban Health. https://doi.org/10.1007/s11524-015-0019-4.Lopez-Olmedo, N., Indivik, K., Vidana-Perez, ˜ D., Barrientos-Gutierrez, T., Perez, C., Sarmiento, O.L., Rodriguez, D., Bolinaga, A., Slesinski, C., Diez-Roux, A., 2020. El transporte público colectivo y en transporte activo en tiempos de pandemia. Philadelphia.Macmillan, Alexandra & Woodcock, James. (2017). Understanding bicycling in cities using system dynamics modelling. Journal of Transport & Health. In Press. 10.1016/j.jth.2017.08.002.Macmillan, A., Connor, J., Witten, K., Kearns, R., Rees, D., Woodward, A., 2014. The societal costs and benefits of commuter bicycling: simulating the effects of specific policies using system dynamics modeling. Environ. Health Perspect. 122 https://doi.org/10.1289/ehp.1307250.Marquez, ´ L., Soto, J.J., 2021. Integrating perceptions of safety and bicycle theft risk in the analysis of cycling infrastructure preferences. Transp. Res. Part A Policy Pract. 150, 285–301. https://doi.org/10.1016/J.TRA.2021.06.017.Marquez, ´ L., Cantillo, V., Arellana, J., 2021. How do the characteristics of bike lanes influence safety perception and the intention to use cycling as a feeder mode to BRT? Travel. Behav. Soc. 24, 205–217. https://doi.org/10.1016/J.TBS.2021.04.005.Martin, A., Goryakin, Y., Suhrcke, M., 2014. Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey. Prev. Med. (Baltim.) 69, 296. https://doi.org/10.1016/J.YPMED.2014.08.023Meisel JD, Sarmiento OL, Montes F, Martinez EO, Lemoine PD, Valdivia JA, Brownson RC, Zarama R. Network analysis of Bogot´ a’s Ciclovía Recreativa, a selforganized multisectorial community program to promote physical activity in a middle-income country. Am J Health Promot. 2014 May-Jun;28(5):e127-36. https://doi.org/10.4278/ajhp.120912-QUAN-443.Mekuria, M.C., Furth, P.G., Nixon, H., 2012. Low-Stress Bicycling and Network Connectivity. San Jos´e.Melo, P.C., 2022. Will COVID-19 hinder or aid the transition to sustainable urban mobility? Spotlight on Portugal’s largest urban agglomeration. Reg. Sci. Policy Pract. 14, 80–106. https://doi.org/10.1111/RSP3.12518.Meyer, M.W., 2020. COVID Lockdowns, Social Distancing, and Fatal Car Crashes: More Deaths on Hobbesian Highways? Cambridge Journal of Evidence-Based Policing 2020 4:3 4, 238–259. https://doi.org/10.1007/S41887-020-00059-8.Ministerio de Transporte de Colombia, 2016. Guía de ciclo-infraestructura para ciudades colombianasMoeckel, R., Kuehnel, N., Llorca, C., Moreno, A.T., Rayaprolu, H., 2020. Agent-based simulation to improve policy sensitivity of trip-based models. J. Adv. Transp. 2020 https://doi.org/10.1155/2020/1902162Müller, B., Bohn, F., Dreßler, G., Groeneveld, J., Klassert, C., Martin, R., Schlüter, M., Schulze, J., Weise, H., Schwarz, N., 2013. Describing human decisions in agentbased models – ODD + D, an extension of the ODD protocol. Environ. Model. Softw. 48, 37–48. https://doi.org/10.1016/j.envsoft.2013.06.003.NACTO, 2020. Streets for Pandemic Response & Recovery. New York.Nundy, S., Ghosh, A., Mesloub, A., Albaqawy, G.A., Alnaim, M.M., 2021. Impact of COVID-19 pandemic on socio-economic, energy-environment and transport sector globally and sustainable development goal (SDG). J. Clean. Prod. 312, 127705 https://doi.org/10.1016/J.JCLEPRO.2021.127705.OECD, International Transport Forum, 2013. Cycling, Health and Safety, ITF Research Reports. OECD. https://doi.org/10.1787/9789282105955-EN.OECD Global Science Forum, 2009. Applications of Complexity Science for Public Policy: New Tools for Finding Unanticipated Consequences and Unrealized Opportunities. OECDPearson, L., Berkovic, D., Reeder, S., Gabbe, B., Beck, B., 2023. Adults’ self-reported barriers and enablers to riding a bike for transport: a systematic review. Transp. Rev. 43 (3), 356–384. https://doi.org/10.1080/01441647.2022.2113570.Pebesma, E., 2018. Simple Features for R [R package sf version 1.0-2].Qu, T., Gates, T.J., Xu, C., Seguin, D., Kay, J., 2022. The disparate impact of COVID-19 pandemic on walking and biking behaviors. Transp. Res. D Transp. Environ. 112, 103494 https://doi.org/10.1016/J.TRD.2022.103494R Core Team, 2018. R A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. - References - Scientific Research Publishing [WWW Document]. URL https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=2342186 (accessed 8.19.21)Ravazzoli, E., Torricelli, G.P., 2022. Urban mobility and public space. A challenge for the sustainable liveable city of the future. J. Public Space 2, 37–50. https://doi. org/10.5204/JPSRaza, W., Krachler, B., Forsberg, B., Sommar, J.N., 2020. Health benefits of leisure time and commuting physical activity: A meta-analysis of effects on morbidity. J. Transp. Health 18, 100873. https://doi.org/10.1016/J.JTH.2020.100873R´erat, P., Haldimann, L., Widmer, H., 2022. Cycling in the era of Covid-19: The effects of the pandemic and pop-up cycle lanes on cycling practices. Transp. Res. Interdiscip. Perspect. 15, 10067Rodrigue, J.-P., 2020. The Geography of Transport Systems, 5th ed, The Geography of Transport Systems. Routledge, London. https://doi.org/10.4324/ 9780429346Rodriguez-Valencia, A., Rosas-Satiz´ abal, D., Gordo, D., Ochoa, A., 2019. Impact of household proximity to the cycling network on bicycle ridership: The case of Bogota. ´ J. Transp. Geogr. 79, 102480 https://doi.org/10.1016/J.JTRANGEO.2019.102480.Rojas-Rueda, D., de Nazelle, A., Tainio, M., Nieuwenhuijsen, M.J., 2011. The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study. BMJ 343. https://doi.org/10.1136/BMJ.D4521.Rosas-Satiz´ abal, D., Guzman, L.A., Oviedo, D., 2020. Cycling diversity, accessibility, and equality: An analysis of cycling commuting in Bogota. ´ Transp. Res. D Transp. Environ. 88 https://doi.org/10.1016/j.trd.2020.102562.Rosas-Satiz´ abal, D., Rodriguez-Valencia, A., 2019. Factors and policies explaining the emergence of the bicycle commuter in Bogot´ a. Case Stud. Transp. Policy 7, 138–149. https://doi.org/10.1016/J.CSTP.2018.12.007.Ryu, S., 2020. A bicycle origin-destination matrix estimation based on a two-stage procedure. Sustainability (Switzerland) 12, 1–14. https://doi.org/10.3390/ su120Schaefer, K.J., Tuitjer, L., Levin-Keitel, M., 2021. Transport disrupted – Substituting public transport by bike or car under Covid 19. Transp. Res. Part A Policy Pract. 153, 202–217. https://doi.org/10.1016/J.TRA.2021.09.002.Secretaría Distrital de Movilidad, 2019. Encuesta de Movilidad 2019. Bogot´ a.Secretaría Distrital de Movilidad, 2021. Bogot´ a Capital Mundial de la Bici [WWW Document]. URL https://www.movilidadbogota.gov.co/web/plan_bici (accessed 8.18.21).Secretaría Distrital de Salud, 2021. SaluData - Observatorio de Salud de Bogota ´ [WWW Document].Sheard, S., Cook, S., Honour, E., Hybertson, D., Krupa, J., McEver, J., McKinney, D., Ondrus, P., Ryan, A., Scheurer, R.P., Singer, J., Sparber, J., White, B., 2015. A Complexity Primer for Systems Engineers 1 INCOSE Complex Systems Working Group White PaperSivasankaran, S.K., Balasubramanian, V., 2020. Exploring the severity of bicycle – Vehicle crashes using latent class clustering approach in India. J. Saf. Res. 72, 127–138. https://doi.org/10.1016/j.jsr.2019.12.012.Sterman, J.D. (2000), Business Dynamics: Systems Thinking and Modeling for a Complex World, McGraw-Hill/Irwin.Taillandier, P., Gaudou, B., Grignard, A., Huynh, Q.-N., Marilleau, N., Caillou, P., Philippon, D., Drogoul, A., 2018. Building, composing and experimenting complex spatial models with the GAMA platform. GeoInformatica 2018 23:2 23, 299–322. https://doi.org/10.1007/S10707-018-00339-6.Teixeira, J.F., Cunha, I., 2023. The effects of COVID-19 on female and male bike sharing users: Insights from Lisbon’s GIRA. Cities 132, 104058. https://doi.org/ 10.1016/J.CITIES.2022.104058.Thommen Dombois, O., Braun-Fahrl¨ ander, C., Martin-Diener, E., 2007. Comparison of adult physical activity levels in three Swiss alpine communities with varying access to motorized transportation. Health Place 13, 757–766. https://doi.org/10.1016/J.HEALTHPLACE.2006.12.002.Torres, A., Sarmiento, O.L., Stauber, C., Zarama, R., 2013. The Ciclovia and Cicloruta programs: Promising interventions to promote physical activity and social capital in Bogot´ a, Colombia. Am. J. Public Health 103, e23. https://doi.org/10.2105/AJPH.2012.301142.Vallejo-Borda, J.A., Bhaduri, E., Ortiz-Ramirez, H.A., Arellana, J., Choudhury, C.F., Rodriguez-Valencia, A., Wadud, Z., Goswami, A.K., 2023. Modeling the COVID-19 travel choices in Colombia and India: A hybrid multiple discrete-continuous nested extreme value approach. Transp. Res. Rec. 4, 2677. https://doi.org/10.1177/ 03611981231162588.VanHoose, K., de Gante, A.R., Bertolini, L., Kinigadner, J., Büttner, B., 2022. From temporary arrangements to permanent change: Assessing the transitional capacity of city street experiments. J. Urban Mobility 2, 100015. https://doi.org/10.1016/J.URBMOB.2022.100015.ViveLab Bogota, ´ 2021. Fatos abiertos Bogot´ a – Red de cicloruta [WWW Document]. URL https://datosabiertos.bogota.gov.co/dataset/cicloruta-bogota-d-c (accessed 8.18.21)von Schonfeld, ¨ K.C., Bertolini, L., 2016. Urban streets between public space and mobility. Transp. Res. Procedia 19, 300–302. https://doi.org/10.1016/J. TRWang, X., Rodríguez, D.A., Sarmiento, O.L., Guaje, O., 2019. Commute patterns and depression: Evidence from eleven Latin American cities. J. Transp. Health 14, 1–19. https://doi.org/10.1016/j.jth.2019.100607.Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L.D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T.L., Miller, E., Bache, S.M., Müller, K., Ooms, J., Robinson, D., Seidel, D.P., Spinu, V., Takahashi, K., Vaughan, D., Wilke, C., Woo, K., Yutani, H., 2019. Welcome to the Tidyverse. J. Open Source Softw. 4, 1686. https://doi.org/10.21105/JOSS.01686.World Health Organization (WHO), 2011. Global Recommendations on Physical Activity for Health: 18–64 Years Old.Zhang, C., Du, B., Zheng, Z., Shen, J., 2023. Space sharing between pedestrians and micro-mobility vehicles: A systematic review. Transp. Res. D Transp. Environ. 116, 103629 https://doi.org/10.1016/J.TRD.2023.103629.Ziemke, D., Metzler, S., Nagel, K., 2017. Modeling bicycle traffic in an agent-based transport simulation. Procedia Comput. Sci. 109, 923–928. https://doi.org/ 10.1016/J.PROCS© 2024 The Author(s)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/Transporte activoAnálisis de sistemasActive transportComplex systemsSystems analyticsTransport interventionImpact assessment of an active transport intervention via systems analyticsArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-8134https://repositorio.unibague.edu.co/bitstreams/d26694d2-47f9-473e-a9e1-bc7ad68f1359/download2fa3e590786b9c0f3ceba1b9656b7ac3MD51ORIGINALArtículos.pdfArtículos.pdfapplication/pdf246166https://repositorio.unibague.edu.co/bitstreams/463714c3-01b1-4162-bdaf-cff3d3de79ee/downloadd98391307a2a0ae465c6b620a5f974aaMD51TEXTArtículos.pdf.txtArtículos.pdf.txtExtracted texttext/plain3610https://repositorio.unibague.edu.co/bitstreams/6ebb56c7-abe7-4b57-9436-1c4c163a1e1d/downloadcdf51dc94f83eb7a9aad9017c1f628c9MD52THUMBNAILArtículos.pdf.jpgArtículos.pdf.jpgIM Thumbnailimage/jpeg25244https://repositorio.unibague.edu.co/bitstreams/919d104b-a562-4414-b5c8-78907841f296/download8481f0fb6baea8cdf568ae3eda039be8MD5320.500.12313/5805oai:repositorio.unibague.edu.co:20.500.12313/58052025-10-18 03:02:49.368https://creativecommons.org/licenses/by/4.0/© 2024 The Author(s)https://repositorio.unibague.edu.coRepositorio Institucional Universidad de Ibaguébdigital@metabiblioteca.comQ3JlYXRpdmUgQ29tbW9ucyBBdHRyaWJ1dGlvbi1Ob25Db21tZXJjaWFsLU5vRGVyaXZhdGl2ZXMgNC4wIEludGVybmF0aW9uYWwgTGljZW5zZQ0KaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LW5jLW5kLzQuMC8= |
