Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour

Marta Vallejo, Verena Rieser, David W. Corne

2015

Abstract

The task of green space allocation in urban areas consists of identifying a suitable site for allocating green areas. In this proposition paper we discuss about a number of factors like crowdedness, design, distribution and size that could discourage inhabitants to visit a certain green urban area. We plan to cluster our urban residents into several population segments using an Agent-Based Model and study the system in different predefined scenarios. The overall objective of this work is to provide spatial guidance to planners, policy makers and other stakeholders, and shed light on potential policy conflicts among standard policy criteria and user preferences. We will evaluate this potential within a targeted stakeholder workshop.

References

  1. Alonso, W. (1964). Location and land use. Publications of the Joint Center for Urban Studies.
  2. Arnberger, A. (2006). Recreation use of urban forests: An inter-area comparison. Urban forestry & urban greening, 4(3):135-144.
  3. Björk, J., Albin, M., Grahn, P., Jacobsson, H., Ardö, J., Wadbro, J., O stergren, P.-O., and Skärbäck, E. (2008). Recreational values of the natural environment in relation to neighbourhood satisfaction, physical activity, obesity and wellbeing. Journal of epidemiology and community health, 62(4):e2-e2.
  4. Broomhall, M. (1996). Study of the availability and environmental quality of urban open space used for physical activity. Master of Public Health Dissertation. Department of Public Health. University of Western Australia, Perth.
  5. Brown, D. G., Aspinall, R., and Bennett, D. A. (2006). Landscape models and explanation in landscape ecology. a space for generative landscape science? The Professional Geographer, 58:369-382(14).
  6. Brunt, P. and Courtney, P. (1999). Host perceptions of sociocultural impacts. Annals of tourism Research, 26(3):493-515.
  7. Burgess, J., Harrison, C. M., and Limb, M. (1988). People, parks and the urban green: a study of popular meanings and values for open spaces in the city. Urban studies, 25(6):455-473.
  8. Burke, J., O'Campo, P., Salmon, C., and Walker, R. (2009). Pathways connecting neighborhood influences and mental well-being: socioeconomic position and gender differences. Social Science & Medicine, 68(7):1294-1304.
  9. Cheshire, P. and Sheppard, S. (1998). Estimating the demand for housing, land, and neighbourhood characteristics. Oxford Bulletin of Economics and Statistics, 60(3):357-382.
  10. Church, R. L. (2002). Geographical information systems and location science. Computers & Operations Research, 29(6):541-562.
  11. Crane, P. R., Wyeth, S. J., Brough, M. K., and Spencer, A. (2006). Children in inner-city suburbia: The case of new farm, brisbane.
  12. Ditton, R. B. and Sutton, S. G. (2004). Substitutability in recreational fishing. Human Dimensions of Wildlife, 9(2):87-102.
  13. Eisler, A. D., Eisler, H., and Yoshida, M. (2003). Perception of human ecology: cross-cultural and gender comparisons. Journal of Environmental Psychology, 23(1):89-101.
  14. Epstein, L. H., Paluch, R. A., Gordy, C. C., and Dorn, J. (2000). Decreasing sedentary behaviors in treating pediatric obesity. Archives of Pediatrics & Adolescent Medicine, 154(3):220-226.
  15. Ferretti, V. and Pomarico, S. (2013). An integrated approach for studying the land suitability for ecological corridors through spatial multicriteria evaluations. Environment, development and sustainability, 15(3):859-885.
  16. Floyd, M. F., Spengler, J. O., Maddock, J. E., Gobster, P. H., and Suau, L. J. (2008). Park-based physical activity in diverse communities of two us cities: an observational study. American Journal of Preventive Medicine, 34(4):299-305.
  17. Giles-Corti, B., Broomhall, M. H., Knuiman, M., Collins, C., Douglas, K., Ng, K., Lange, A., and Donovan, R. J. (2005). Increasing walking: How important is distance to, attractiveness, and size of public open space? American Journal of Preventive Medicine, 28(2, Supplement 2):169 - 176.
  18. Glickman, D. (1999). Building cities of green. In Kollin, C., editor, 1999 National Urban Forest of Conference. American Forests, Washington, DC., pages 4-7.
  19. Hall, T., Shelby, B., et al. (2000). Temporal and spatial displacement: evidence from a high-use reservoir and alternate sites. Journal of Leisure Research, 32(4):435- 456.
  20. Haviland-Jones, J., Rosario, H. H., Wilson, P., and McGuire, T. R. (2005). An environmental approach to positive emotion: Flowers. Evolutionary Psychology, 3:104-132.
  21. Maruani, T. and Amit-Cohen, I. (2007). Open space planning models: A review of approaches and methods. Landscape and Urban Planning, 81(12):1 - 13.
  22. Matthews, R. B., Gilbert, N. G., Roach, A., Polhill, J. G., and Gotts, N. M. (2007). Agent-based land-use models: a review of applications. Landscape Ecology, 22(10):1447-1459.
  23. McCormack, G. R., Giles-Corti, B., Bulsara, M., and Pikora, T. J. (2006). Correlates of distances traveled to use recreational facilities for physical activity behaviors. International Journal of Behavioral Nutrition and Physical Activity, 3(1):18.
  24. McCormack, G. R., Rock, M., Toohey, A. M., and Hignell, D. (2010). Characteristics of urban parks associated with park use and physical activity: a review of qualitative research. Health & place, 16(4):712-726.
  25. McPherson, E. G. (2006). Urban forestry in north america. Renewable Resources Journal, 24(3):8-12.
  26. Morancho, A. B. (2003). A hedonic valuation of urban green areas. Landscape and urban planning, 66(1):35-41.
  27. Murray-Rust, D., Rieser, V., Robinson, D. T., Milii, V., and Rounsevell, M. (2013). Agent-based modelling of land use dynamics and residential quality of life for future scenarios. Environmental Modelling & Software, 46(0):75 - 89.
  28. Nelson, E., Mendoza, G., Regetz, J., Polasky, S., Tallis, H., Cameron, D., Chan, K. M., Daily, G. C., Goldstein, J., Kareiva, P. M., et al. (2009). Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Frontiers in Ecology and the Environment, 7(1):4-11.
  29. Payne, L. L., Mowen, A. J., and Orsega-Smith, E. (2002). An examination of park preferences and behaviors among urban residents: the role of residential location, race, and age. Leisure sciences, 24(2):181-198.
  30. Pham, T.-T.-H., Apparicio, P., Séguin, A.-M., Landry, S., and Gagnon, M. (2012). Spatial distribution of vegetation in montreal: An uneven distribution or environmental inequity? Landscape and Urban Planning, 107(3):214-224.
  31. Pickett, S. T., Cadenasso, M., Grove, J., Nilon, C., Pouyat, R., Zipperer, W., and Costanza, R. (2001). Urban ecological systems: linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas. Annual review of ecology and systematics, pages 127-157.
  32. Pouta, E. and Heikkilä, M. (1998). Virkistysalueiden suunnittelu ja hoito. Ympäristöministeri ö, alueidenkäytön osasto.
  33. Robinson, D., Murray-Rust, D., Rieser, V., Milicic, V., and Rounsevell, M. (2012). Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in koper, slovenia. Computers, Environment and Urban Systems. Special Issue: Geoinformatics 2010, 36(Issue 2):164-176.
  34. Roovers, P., Hermy, M., and Gulinck, H. (2002). Visitor profile, perceptions and expectations in forests from a gradient of increasing urbanisation in central belgium. Landscape and Urban Planning, 59(3):129-145.
  35. Schroeder, H. W. and Daniel, T. (1982). Preferred features of urban parks and forests. Journal of Arboriculture, 8(12):317-322.
  36. Shelby, B., Bregenzer, N. S., Johnson, R., et al. (1988). Displacement and product shift: empirical evidence from oregon rivers. Journal of Leisure Research, 20(4):274-288.
  37. Takayama, N., Korpela, K., Lee, J., Morikawa, T., Tsunetsugu, Y., Park, B.-J., Li, Q., Tyrväinen, L., Miyazaki, Y., and Kagawa, T. (2014). Emotional, restorative and vitalizing effects of forest and urban environments at four sites in japan. International Journal of Environmental Research and Public Health, 11(7):7207- 7230.
  38. Tarzia, V. (2003). European common indicators: towards a local sustainability profile. Ambiente Italia Research Institute, Milano, Italy.
  39. Uy, P. D. and Nakagoshi, N. (2008). Application of land suitability analysis and landscape ecology to urban greenspace planning in hanoi, vietnam. Urban Forestry & Urban Greening, 7(1):25-40.
  40. Vallejo, M., Corne, D., and Rieser, V. (2014). Evolving optimal spatial allocation policies for complex and uncertain environments. In Filipe, J. and Fred, A., editors, Agents and Artificial Intelligence, volume 449 of Communications in Computer and Information Science, pages 351-369. Springer Berlin Heidelberg.
  41. Vallejo, M., Corne, D. W., and Rieser, V. (2013). Evolving urbanisation policies - using a statistical model to accelerate optimisation over agent-based simulations. In ICAART 2013 - 5th Conference on Agents and Artificial Intelligence, pages 1-11.
  42. Vaske, J. J., Donnelly, M. P., and Heberlein, T. A. (1980). Perceptions of crowding and resource quality by early and more recent visitors. Leisure Sciences, 3(4):367- 381.
  43. Watts, M. E., Ball, I. R., Stewart, R. S., Klein, C. J., Wilson, K., Steinback, C., Lourival, R., Kircher, L., and Possingham, H. P. (2009). Marxan with zones: software for optimal conservation based land-and seause zoning. Environmental Modelling & Software, 24(12):1513-1521.
  44. Williams, J. and Lawson, R. (2001). Community issues and resident opinions of tourism. Annals of Tourism Research, 28(2):269-290.
  45. Wong, K. K. (2009). Urban park visiting habits and leisure activities of residents in hong kong, china. Managing Leisure, 14(2):125-140.
  46. Woolley, H. (2003). Urban open spaces. Taylor & Francis.
  47. Zucca, A., Sharifi, A. M., and Fabbri, A. G. (2008). Application of spatial multi-criteria analysis to site selection for a local park: A case study in the bergamo province, italy. Journal of Environmental Management, 88(4):752-769.
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Paper Citation


in Harvard Style

Vallejo M., Rieser V. and Corne D. (2015). Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-073-4, pages 257-262. DOI: 10.5220/0005284602570262


in Bibtex Style

@conference{icaart15,
author={Marta Vallejo and Verena Rieser and David W. Corne},
title={Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={257-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005284602570262},
isbn={978-989-758-073-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour
SN - 978-989-758-073-4
AU - Vallejo M.
AU - Rieser V.
AU - Corne D.
PY - 2015
SP - 257
EP - 262
DO - 10.5220/0005284602570262