Create of a Conceptual Framework for the Use of an Agent-Based Modeling in Urban Studies with an Emphasis on the Walkable City
DOI:
https://doi.org/10.11137/1982-3908_2023_46_53866Keywords:
Tendency to walk, Meta-synthesis, Urban designAbstract
Agent-based modeling by a bottom-up approach has shown that it has enough capacity to provide a natural definition for urban complicated system. During the last two decades, numerous studies have been dedicated to investigate the influence of urban policies on people’s tendency to walk using an agent-based approach. Therefore, it is considered to be the right time to meta-synthesize experiences and aggregating data into a unit in order to create a comprehensive framework for these studies. With this in mind, in this study, we aim to meta-synthesize these experiences to create a comprehensive framework in order to use agent-based modeling to investigate the influence of urban design and planning policies on people's tendency to walk. This study revealed that “basic model”, “disruptor” and “operation” made up the crucial elements of framework.
References
Abel, K.C. & Faust, K.M. 2020, 'Modeling complex human systems: An adaptable framework of urban food deserts', Sustainable Cities and Society, vol. 52, 101795.
Ahmadipour, F., Mamdoohi, A.R. & Wulf-Holger, A. 2021, 'Impact of built environment on walking in the case of Tehran, Iran', Journal of Transport & Health, vol. 22, 101083, DOI:10.1016/j.jth.2021.101083
Alghais, N. & Pullar, D. 2018, 'Modelling future impacts of urban development in Kuwait with the use of ABM and GIS', Transactions in GIS, vol. 22, no. 1, pp. 20-42, DOI:10.1111/tgis.12293
Almagor, J., Martin, A., McCrorie, P. & Mitchell, R. 2021, 'How can an agent-based model explore the impact of interventions on children's physical activity in an urban environment?', Health & place, vol. 72, 102688, DOI:10.1016/j.healthplace.2021.102688
Arsanjani, J.J., Helbich, M. & de Noronha Vaz, E. 2013, 'Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran', Cities, vol. 32, pp. 33-42, DOI:10.1016/j.cities.2013.01.005
Aschwanden, G.D., Haegler, S., Bosché, F., Van Gool, L. & Schmitt, G. 2011, 'Empiric design evaluation in urban planning', Automation in Construction, vol. 20, no. 3, pp. 299-310, DOI:10.1016/j.autcon.2010.10.007
Asriana, N. & Indraprastha, A. 2016, 'Making sense of agent-based simulation- Developing design strategy for pedestrian-centric urban space', 21st International Conference of the Association for Computer-Aided Architectural Design Research in Asia, Hong Kong.
Aziz, H.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', Transportation research part C: emerging technologies, vol. 86, pp. 280-99, DOI:10.1016/j.trc.2017.11.008
Badland, H., White, M., MacAulay, G., Eagleson, S., Mavoa, S., Pettit, C. & Giles-Corti, B. 2013, 'Using simple agent-based modeling to inform and enhance neighborhood walkability', International Journal of Health Geographics, vol. 12, no. 1, 58, DOI:10.1186/1476-072X-12-58
Barthelmes, L., Heilig, M., Klinkhardt, C., Kagerbauer, M. & Vortisch, P. 2022, 'The effects of spatial characteristics on car ownership and its impacts on agent-based travel demand models', Procedia Computer Science, vol. 201, pp. 296-304, DOI:10.1016/j.procs.2022.03.040
Bauman, A., Bellew, B., Vita, P., Brown, W. & Owen, N. 2002, Getting australia active: Towards better practice for the promotion of physical activity, National Public Health Partnership, Australia.
Ben-Dor, G., Ben-Elia, E. & Benenson, I. 2018, 'Assessing the impacts of dedicated bus lanes on urban traffic congestion and modal split with an agent-based model', Procedia Computer Science, vol. 130, pp. 824-9, DOI:10.1016/j.procs.2018.04.071
Bonabeau, E. 2002, 'Agent-based modeling: Methods and techniques for simulating human systems', Proceedings of the national academy of sciences, vol. 99, suppl. 3, pp. 7280-7, DOI:10.1073/pnas.082080899
Bozovic, T., Stewart, T., Hinckson, E. & Smith, M. 2021, 'Clearing the path to transcend barriers to walking: Analysis of associations between perceptions and walking behaviour', Transportation research part F: traffic psychology and behaviour, vol. 77, pp. 197-208, DOI:10.1016/j.trf.2021.01.003
Casti, J.L. 1997, Would-be worlds: How simulation is changing the frontiers of science, John Wiley & Sons, New York.
Chen, C.H., & Chiu, M.L. 2006, 'Scale A street case library for environmental design with agent interfaces', in Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Springer, Dordrecht, pp. 137-50.
Duncan, O.D., Scott, W.R., Lieberson, S., Duncan, B.D. & Winsborough, H.H. 2013, Metropolis and región, RFF Press, New York.
Elbanhawy, E. 2017, 'MUMMY, I NEED A WEE! The Integration of Space Syntax, Internet of Things (IoT), and Self Tracking Technologies to Design for Pedestrians in Smart Cities', Proceedings of the 11th Space Syntax Symposium, University of Lisbon, Lisbon.
Fazio, E.A. & Peña, C.B. 2021, 'Agent-based simulation model of bus evacuation events', Transportation Research Procedia, vol. 58, pp. 471-8, DOI:10.1016/j.trpro.2021.11.063
Fidler, D. & Hanna, S. 2015, 'Introducing random walk measures to space syntax', SSS 2015-10th International Space Syntax Symposium, University College London. London.
Filomena, G. & Verstegen, J.A. 2021, 'Modelling the effect of landmarks on pedestrian dynamics in urban environments', Computers, Environment and Urban Systems, vol. 86, 101573, DOI:10.1016/j.compenvurbsys.2020.101573
Filomena, G., Manley, E. & Verstegen, J.A. 2020, 'Perception of urban subdivisions in pedestrian movement simulation', PLoS One, vol. 15, no. 12, e0244099, DOI:10.1371/journal.pone.0244099
Florindo, A.A., Teixeira, I.P., Barrozo, L.V., Sarti, F.M., Fisberg, R.M., Andrade, D.R. & Garcia, L.M.T. 2021, 'Study protocol: health survey of Sao Paulo: ISA-Physical Activity and Environment', BMC Public Health, vol. 21, no. 1, 283, DOI:10.1186/s12889-021-10262-5
Fonseca, F., Ribeiro, P.J., Conticelli, E., Jabbari, M., Papageorgiou, G., Tondelli, S. & Ramos, R. A. 2021, 'Built environment attributes and their influence on walkability', International Journal of Sustainable Transportation, vol. 16, no. 7, pp. 660-79, DOI:10.1080/15568318.2021.1914793
Garcia, L.M., Roux, A.V.D., Martins, A.C., Yang, Y. & Florindo, A.A. 2018, 'Exploring the emergence and evolution of population patterns of leisure-time physical activity through agent-based modelling', International Journal of Behavioral Nutrition and Physical Activity, vol. 15, no. 1, 112, DOI:10.1186/s12966-018-0750-9
Garcia, L.M., Roux, A.V.D., Martins, A.C., Yang, Y. & Florindo, A.A. 2017, 'Development of a dynamic framework to explain population patterns of leisure-time physical activity through agent-based modeling', International Journal of Behavioral Nutrition and Physical Activity, vol. 14, no. 1, 111, DOI:10.1186/s12966-017-0553-4
Habibian, M. & Hosseinzadeh, A. 2018, 'Walkability index across trip purposes', Sustainable Cities and Society, vol. 42, pp. 216-25, DOI:10.1016/j.scs.2018.07.005
Hanna, S. 2021, 'Random walks in urban graphs: A minimal model of movement', Environment and Planning B: Urban Analytics and City Science, vol. 48, no. 6, pp. 1697-711, DOI:10.1177/2399808320946766
Hu, H., Luo, Z., Chen, Y., Bian, Q. & Tong, Z. 2017, 'Integration of space syntax into agent-based pedestrian simulation in urban open space', 22nd International Conference of the Association for Computer-Aided Architectural Design Research in Asia, Hong Kong.
Huang, X., Kimm, G. & Burry, M. 2021, 'Exploiting game development environments for responsive urban design by non-programmers-melding real-time ABM pedestrian simulation and form modelling in Unity 3D', The 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, Hong Kong.
Huang, X., White, M. & Burry, M. 2017, 'A pedestrian-centric design strategy: melding reactive scripting with multi-agent simulation', Proceedings of the Symposium on Simulation for Architecture and Urban Design, Toronto.
Jin, X. & White, R. 2012, 'An agent-based model of the influence of neighbourhood design on daily trip patterns', Computers, Environment and Urban Systems, vol. 36, no. 5, pp. 398-411, DOI:10.1016/j.compenvurbsys.2012.03.006
Labrie, N.H., van Veenendaal, N.R., Ludolph, R.A., Ket, J.C., van der Schoor, S.R. & van Kempen, A.A. 2021, 'Effects of parent-provider communication during infant hospitalization in the NICU on parents: A systematic review with meta-synthesis and narrative synthesis', Patient Education and Counseling, vol. 104, no. 7, pp. 1526-52, DOI:10.1016/j.pec.2021.04.023
Lemoine, P.D., Cordovez, J.M., Zambrano, J.M., Sarmiento, O.L., Meisel, J.D., Valdivia, J.A. & Zarama, R. 2016, 'Using agent based modeling to assess the effect of increased Bus Rapid Transit system infrastructure on walking for transportation', Preventive Medicine, vol. 88, pp. 39-45, DOI:10.1016/j.ypmed.2016.03.015
Li, F., Li, Z., Chen, H., Chen, Z. & Li, M. 2020, 'An agent-based learning-embedded model (ABM-learning) for urban land use planning: A case study of residential land growth simulation in Shenzhen, China', Land Use Policy, vol. 95, 104620.
Lowry, I.S. 1965, 'A short course in model design', Journal of the American Institute of Planners, vol. 31, no. 2, pp. 158-66.
Mayne, D.J., Morgan, G.G., Jalaludin, B.B. & Bauman, A.E. 2017, 'The contribution of area-level walkability to geographic variation in physical activity: a spatial analysis of 95,837 participants from the 45 and Up Study living in Sydney, Australia', Population Health Metrics, vol. 15, no. 1, 38, DOI:10.1186/s12963-017-0149-x
Omer, I. & Jiang, B. 2015, 'Can cognitive inferences be made from aggregate traffic flow data?', Computers, Environment and Urban Systems, vol. 54, pp. 219-29, DOI:10.1016/j.compenvurbsys.2015.08.005
Omer, I. & Kaplan, N. 2017, 'Using space syntax and agent-based approaches for modeling pedestrian volume at the urban scale, Computers, Environment and Urban Systems, vol. 64, pp. 57-67, DOI:10.1016/j.compenvurbsys.2017.01.007
Rachele, J.N., Sugiyama, T., Davies, S., Loh, V.H., Turrell, G., Carver, A. & Cerin, E. 2019, 'Neighbourhood built environment and physical function among mid-to-older aged adults: a systematic review', Health & Place, vol. 58, 102137, DOI:10.1016/j.healthplace.2019.05.015
Sandelowski, M. & Barroso, J. 2006, Handbook for synthesizing qualitative research, Springer Publishing Company, New York.
Sharifi, A. 2019, 'Resilient urban forms: A macro-scale analysis', Cities, vol. 85, pp. 1-14, DOI:10.1016/j.cities.2018.11.023
Simpson, D.M. 2001, 'Virtual reality and urban simulation in planning: A literature review and topical bibliography', Journal of Planning Literature, vol. 15, no. 3, pp. 359-76, DOI:10.1177/08854120122093078
Taleai, M. & Amiri, E.T. 2017, 'Spatial multi-criteria and multi-scale evaluation of walkability potential at street segment level: A case study of Tehran', Sustainable Cities and Society, vol. 31, pp. 37-50, DOI:10.1016/j.scs.2017.02.011
Thorne, S. 2009, 'The role of qualitative research within an evidence-based context: Can metasynthesis be the answer?', International Journal of Nursing Studies, vol. 46, no. 4, pp. 569-75, DOI:10.1016/j.ijnurstu.2008.05.001
Turner, A. & Penn, A. 2002, 'Encoding natural movement as an agent-based system: an investigation into human pedestrian behaviour in the built environment', Environment and planning B: Planning and Design, vol. 29, no. 4, pp. 473-90, DOI:10.1068/b12850
Walsh, D. & Downe, S. 2005, 'Meta‐synthesis method for qualitative research: a literature review', Journal of advanced nursing, vol. 50, no. 2, pp. 204-11, DOI:10.1111/j.1365-2648.2005.03380.x
Yang, L., Zhang, L., Philippopoulos-Mihalopoulos, A., Chappin, E. J. & van Dam, K.H. 2021, 'Integrating agent-based modeling, serious gaming, and co-design for planning transport infrastructure and public spaces', Urban Design International, vol. 26, no. 1, pp. 67-81, DOI:10.1057/s41289-020-00117-7
Yang, Y., Auchincloss, A.H., Rodriguez, D.A., Brown, D.G., Riolo, R. & Diez-Roux, A.V. 2015, 'Modeling spatial segregation and travel cost influences on utilitarian walking: Towards policy intervention', Computers, Environment and Urban Systems, vol. 51, pp. 59-69, DOI:10.1016/j.compenvurbsys.2015.01.007
Yang, Y., Roux, A.V.D., Auchincloss, A.H., Rodriguez, D.A. & Brown, D.G. 2012, 'Exploring walking differences by socioeconomic status using a spatial agent-based model', Health & Place, vol. 18, no. 1, pp. 96-9, DOI:10.1016/j.healthplace.2011.08.010
Yang, Y., Roux, A.V.D., Auchincloss, A.H., Rodriguez, D.A. & Brown, D.G. 2011, 'A spatial agent-based model for the simulation of adults' daily walking within a city', American Journal of Preventive Medicine, vol. 40, no. 3, pp. 353-61, DOI:10.1016%2Fj.amepre.2010.11.017
Yi, L., Wilson, J.P., Mason, T.B., Habre, R., Wang, S. & Dunton, G.F. 2019, 'Methodologies for assessing contextual exposure to the built environment in physical activity studies: A systematic review', Health & Place, vol. 60, 102226, DOI:10.1016/j.healthplace.2019.102226
Yin, L. 2013, 'Assessing walkability in the city of Buffalo: Application of agent-based simulation', Journal of urban Planning and Development, vol. 139, no. 3, pp. 166-75, DOI:10.1061/(ASCE)UP.1943-5444.0000147
Zellner, M., Massey, D., Shiftan, Y., Levine, J. & Arquero, M. J. 2016, 'Overcoming the last-mile problem with transportation and land-use improvements: An agent-based approach', International Journal of Transportation, vol. 4, no. 1, pp. 1-26, DOI:10.14257/ijt.2016.4.1.01
Zhu, W., Nedovic-Budic, Z., Olshansky, R. B., Marti, J., Gao, Y., Park, Y., McAuley, E. & Chodzko-Zajko, W. 2013, 'Agent-based modeling of physical activity behavior and environmental correlations: an introduction and illustration', Journal of Physical Activity and Health, vol. 10, no. 3, pp. 309-22, DOI:10.1123/jpah.10.3.309
Downloads
Published
Issue
Section
License
This journal is licensed under a Creative Commons — Attribution 4.0 International — CC BY 4.0, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.