PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
  • Sesja wygasła!
Tytuł artykułu

Effects of choice of data aggregation method to a point on walking accessibility results using the G2SFCA method

Treść / Zawartość
Warianty tytułu
PL
Wpływ wyboru metody agregacji danych do punktu na wyniki dostępności pieszej uzyskane przy wykorzystaniu metody G2SFCA
Języki publikacji
EN
Abstrakty
EN
In spatial accessibility studies based on market areas, such as floating catchment area (FCA) family methods, it is crucial to identify the point to which weights are assigned, both on the demand and supply side. Bearing in mind that it is not always possible to work on disaggregated data, the aim of this paper was to investigate which method of determining a point, minimises bias in the estimation of walking accessibility. The research used the G2SFCA method, introduced by Dai, which has been employed several times to model walking accessibility. Results clearly show that point location methods for area units, based on disaggregating data to buildings, perform better at the scale of statistical districts or cadastral precincts, compared to those based on the centrally weighted mean. They also show that positional measures such as the Euclidean centrally weighted median can improve the results of analyses in units that are heterogeneous in terms of settlement network pattern.
Twórcy
  • Institute of Urban Geography, Tourism Studies and Geoinformation, Faculty of Geographical Sciences, University of Lodz, Kopcińskiego 31, 90-142 Lodz, Poland
Bibliografia
  • [1] Abdelfattah L., Desponte D., Fossa G., 2022, The 15-minute city: interpreting the model to bring out urban resiliencies, Transport Research Procedia, 60, 330-337.
  • [2] Apparicio P., Abdelmajid M., Riva M., Shearmur R., 2008, Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues, International Journal of Health Geographics, 7, 1-14.
  • [3] Apparicio P., Gelb J., Dubé A. S., Kingham S., Gauvin L., Robitaille É., 2017, The approaches to measuring the potential spatial access to urban health services revisited: distance types and aggregation-error issues, International Journal of Health Geographics, 16, 1-24.
  • [4] Arbia G., 1989, Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems, Springer Dordrecht, Dordrecht.
  • [5] Bauer J., Groneberg D. A., 2016, Measuring Spatial Accessibility of Health Care Providers – Introduction of a Variable Distance Decay Function within the Floating Catchment Area (FCA) Method, PLoS One 11(7), e0159148.
  • [6] Boone C., 2008, Improving Resolution of Census Data in Metropolitan Areas using a Dasymetric Approach: Applications for the Baltimore Ecosystem Study, Cities and Environment (CATE) 1, 1-25.
  • [7] Bryant J., Delamater P. L., 2019, Examination of spatial accessibility at micro- and macro-levels using the enhanced two-step floating catchment area (E2SFCA) method, Annals of GIS, 25, 219-229.
  • [8] Burt J. E., Barber G. M., Rigby D. L. (eds.), 2008, Elementary Statistics or Geographers, 3 ed, The Guilford Press, New York, London.
  • [9] Cao Y., Guo Y., Zhang M., 2022, Research on the Equity of Urban Green Park Space Layout Based on Ga2SFCA Optimization Method – Taking the Core Area of Beijing as an Example, Land, 11(8), 1323.
  • [10] Chen T., Pan J., 2020, The effect of spatial access to primary care on potentially avoidable hospitalizations of the elderly: evidence from Chishui City, China, Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 160(2), 645-665.
  • [11] Dai D., 2010, Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit, Health Place, 16, 1038-1052.
  • [12] Dai D., Wang F., 2011, Geographic Disparities in Accessibility to Food Stores in Southwest Mississippi, Environment and Planning B: Planning and Design, 38, 659-677.
  • [13] Daly M. R., Mellor J. M., Millones M., 2018, Do Avoidable Hospitalization Rates among Older Adults Differ by Geographic Access to Primary Care Physicians? Health Services Research, 53(Suppl 1), 3245-3264.
  • [14] Daly M. R., Mellor J. M., Millones M., 2019, Defining Primary Care Shortage Areas: Do GIS-based Measures Yield Different Results?, The Journal of Rural Health, 35, 22-34.
  • [15] Del Conte D. E., Locascio A., Amoruso J., McNamara M. L., 2022, Modeling multimodal access to primary care in an urban environment, Transportation Research Interdisciplinary Perspectives, 13, 100550.
  • [16] Delamater P. L., 2013, Spatial accessibility in suboptimally configured health care systems: A modified two-step floating catchment area (M2SFCA) metric, Health and Place, 24, 30-43.
  • [17] Dony C. C., Delmelle E. M., Delmelle E. C., 2015, Re-conceptualizing accessibility to parks in multi-modal cities: A Variable-width Floating Catchment Area (VFCA) method, Landscape and Urban Planning, 143, 90-99.
  • [18] Du M., Zhao S., 2022, An Equity Evaluation on Accessibility of Primary Healthcare Facilities by Using V2SFCA Method: Taking Fukuoka City, Japan, as a Case Study, Land, 11(5), 640.
  • [19] Fischer M. M., Nijkamp P. (eds.), 2021, Handbook of regional science, 2 ed., Springer, Berlin, Heidelberg.
  • [20] Gao F., Kihal W., Le Meur N., Souris M., Deguen S., 2017, Does the edge effect impact on the measure of spatial accessibility to healthcare providers? International Journal of Health Geography, 16, 46.
  • [21] Geurs K. T., Ritsema van Eck J., 2001, Accessibility measures: review and applications. Evaluation of accessibility impacts of land-use transport scenarios, and related social and economic impacts, National Institute of Public Health and the Environment, Bilthoven, p. 265.
  • [22] Handy S., Niemeier D., 1997, Measuring accessibility: an exploration of issues and alternatives, Environment and Planning A, 29, 1175-1194.
  • [23] Hansen W. G., 1959, How Accessibility Shapes Land Use, Journal of the American Institute of Planners, 25, 73-76.
  • [24] Hewko J., Smoyer-Tomic K. E., Hodgson M. J., 2002, Measuring Neighbourhood Spatial Accessibility to Urban Amenities: Does Aggregation Error Matter? Environment and Planning A: Economy and Space, 34, 1185-1206.
  • [25] Huhndorf S., Działek J., 2018, Assessment of the walking accessibility of public libraries in Krakow using the E2SFCA approach, Urban Development Issues, 54, 5-14.
  • [26] Hyndman R. J., 2011, Forecasting An Overview, [in:] M. Lovric (ed.), International Encyclopedia of Statistical Science, Springer.
  • [27] Ikram S. Z., Hu Y., Wang F., 2015, Disparities in Spatial Accessibility of Pharmacies in Baton Rouge, Louisiana, Geographical Review, 105, 492-510.
  • [28] Jacobs-Crisioni C., Rietveld P., Koomen E., 2014, The impact of spatial aggregation on urban development analyses, Applied Geography, 47, 46-56.
  • [29] Jaworska R., Suchecka J., 2014, Statystyka przestrzenna: metody analiz struktur przestrzennych, Wydawnictwo C.H. Beck, Warszawa.
  • [30] Jin M., Liu L., Tong Gong, Y., Liu Y., 2019, Evaluating the Spatial Accessibility and Distribution Balance of Multi-Level Medical Service Facilities, International Journal of Environmental Research and Public Health, 16(7), 1150.
  • [31] Kellerman A., 1981, Centrographic measures in geography, Geo Abstracts, University of East Anglia, Norwich.
  • [32] Komornicki T., Wiśniewski R., Baranowski J., Błażejczyk K., Degórski M., Goliszek S., Rosik P., Solon J., Stępniak M., Zawiska I., 2015, Wpływ wybranych korytarzy drogowych na środowisko przyrodnicze i rozwój społeczno-ekonomiczny obszarów przyległych, Instytut Geografii i Przestrzennego Zagospodarowania PAN, Warszawa.
  • [33] Langford M., Higgs G., Jones S., 2020, Understanding Spatial Variations in Accessibility to Banks Using Variable Floating Catchment Area Techniques, Applied Spatial Analysis and Policy, 14(3), 449-472.
  • [34] Lechowski L., Jasion A., 2021, Spatial Accessibility of Primary Health Care in Rural Areas in Poland, International Journal of Environmental Research and Public Health, 18(17), 9282.
  • [35] Li Y., Xie Y., Sun S., Hu L., 2022, Evaluation of Park Accessibility Based on Improved Gaussian Two-Step Floating Catchment Area Method: A Case Study of Xi’an City, Buildings, 12(7), 871.
  • [36] Logan T. M., Williams T. G., Nisbet A. J., Liberman K. D., Zuo C. T., Guikema S. D., 2017, Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations, Environment and Planning B: Urban Analytics and City Science, 46(5), 897-913.
  • [37] Longley P. A., Goodchild M. F., Maguire D. J., Rhind D. W., 2015, Geographic Information Science & Systems, 4th ed., Wiley, United States of America.
  • [38] Loo B. P. Y., Lam W. W. Y., 2012, Geographic accessibility around health care facilities for elderly residents in Hong Kong: a microscale walkability assessment, Environment and Planning B: Planning and Design, 39(4), 629-646.
  • [39] Luo S., Jiang H., Yi D., Liu R., Qin J., Liu Y., Zhang J., 2022, PM2SFCA: Spatial Access to Urban Parks, Based on Park Perceptions and Multi-Travel Modes. A Case Study in Beijing, ISPRS International Journal of Geo-Information, 11(9), 488.
  • [40] Luo W., Qi Y., 2009, An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians, Health and Place, 15(4), 1100-1107.
  • [41] Luo W., Wang F., 2003, Measures of Spatial Accessibility to Healthcare in a GIS Environment: Synthesis and a Case Study in Chicago Region. Environ Planning B Planning and Design 30, 865-884.
  • [42] Maarseveen M. V., Martínez-Martín J. A., Flacke J. (eds), 2019, GIS in sustainable urban planning and management: a global perspective, CRC Press, Boca Raton, London, New York.
  • [43] Moreno C., Allam Z., Chabaud D., Gall C., Pratlong F., 2021, Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities, Smart Cities, 4(1), 93-111.
  • [44] Murtagh E. M., Mair J. L., Aguiar E., Tudor-Locke C., Murphy M. H., 2021, Outdoor Walking Speeds of Apparently Healthy Adults: A Systematic Review and Meta-analysis, Sports Medicine, 51, 125-141.
  • [45] Nalej M., 2018, Problem zmiennych jednostek odniesienia (MAUP) w badaniach pokrycia terenu. Przykład Łódzkiego Obszaru Metropolitalnego, Praca doktorska, Wydział Nauk Geograficznych. Uniwersytet Łódzki, Łódź.
  • [46] Neutens T., 2015, Accessibility, equity and health care: review and research directions for transport geographers, Journal of Transport Geography, 43, 14-27.
  • [47] Openshaw S., 1983, The modifiable areal unit problem, CATMOG (Concepts & Techniques in Modern Geography) 38, 41 p.
  • [48] Park J., Goldberg D. W., 2021, A Review of Recent Spatial Accessibility Studies That Benefitted from Advanced Geospatial Information: Multimodal Transportation and Spatiotemporal Disaggregation, ISPRS International Journal of Geo-Information, 10(8), 532.
  • [49] Peng Z.-R., 1997, The Jobs-Housing Balance and Urban Commuting, Urban Studies, 34(8), 1215-1235.
  • [50] Pham T.-T.-H., Apparicio P., Séguin A.-M., Landry S., Gagnon M., 2012, Spatial distribution of vegetation in Montreal: An uneven distribution or environmental inequity? Landscape and Urban Planning, 107(3), 214-224.
  • [51] Polzin P., Borges J., Coelho A., 2014, An Extended Kernel Density Two-Step Floating Catchment Area Method to Analyze Access to Health Care, Environment and Planning B: Planning and Design, 41(4), 717-735.
  • [52] Pregnolato M., Ford A., Wilkinson S. M., Dawson R. J., 2017, The impact of flooding on road transport: A depth-disruption function, Transportation Research Part D: Transport and Environment, 55, 67-81.
  • [53] Rahman M. T., Nahiduzzaman K. M., 2019, Examining the Walking Accessibility, Willingness, and Travel Conditions of Residents in Saudi Cities, International Journal Environmental Research and Public Health, 16(4), 545.
  • [54] Rakower R., Łabędzki J., Gadziński J., 2011, Konkurencyjność ruchu rowerowego w przestrzeni miejskiej, Transport Miejski i Regionalny, 02, 31-38.
  • [55] Rosik P., 2012, Dostępność lądowa przestrzeni Polski w wymiarze europejskim, IGiPZ PAN, Warszawa.
  • [56] Rosik P., 2021, Świat dostępności – metody i komponenty. Przykład analiz empirycznych przestrzeni Polski, Prace Geograficzne, 276, IGIPZ PAN, Warszawa.
  • [57] Shatnawi N., Al-Omari A., Al-Mashaqbeh A., 2022, Comparative study of using E2SFCA and 3SFCA methods for selected healthcare resources in Jordan during COVID-19 pandemic, International Journal of Healthcare Management, 15(4), 347-356.
  • [58] Stepniak M., Jacobs-Crisioni C., 2017, Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications, Journal of Transport Geography, 61, 17-29.
  • [59] Stevenson M., Thompson J., de Sá T. H., Ewing R., Mohan D., McClure R., Roberts I., Tiwari G., Giles-Corti B., Sun X., Wallace M., Woodcock J., 2016, Land use, transport, and population health: estimating the health benefits of compact cities, The Lancet, 388(10062), 2925-2935.
  • [60] Stępniak M., 2013, Wykorzystanie metody 2SFCA w badaniach dostępności przestrzennej usług medycznych, Przegląd Geograficzny, 85(2), 199-218.
  • [61] Stępniak M., Rosik P., 2015, The Impact of Data Aggregation on Potential Accessibility Values, [in:] I. Ivan, I. Benenson, B. Jiang, J. Horák, J. Haworth, T. Inspektor (eds.), Geoinformatics for Intelligent Transportation, Springer International Publishing, Cham, 227-240.
  • [62] Stępniak M., Wiśniewski R., Goliszek S., Marcińczak S., 2017, Dostępność przestrzenna do usług publicznych w Polsce, IGiPZ PAN, Warszawa.
  • [63] Śleszyński P., 2011, Oszacowanie rzeczywistej liczby ludności gmin województwa mazowieckiego z wykorzystaniem danych GUS, Studia Demograficzne, 160(2), 35-57.
  • [64] Śleszyński, P., 2014, Dostępność czasowa i jej zastosowania, Przegląd Geograficzny, 86(2), 171-215.
  • [65] Tan J., Wang X., Pan J., 2021, The effect of population distribution measures on evaluating spatial accessibility of primary health-care institutions: A case study from China, Geospatial Health, 16(1), 31-45.
  • [66] Vasiliev I. R., 1996, Visualization of Spatial Dependence: An Elementary View of Spatial Autocorrelation, [in:] S. Arlinghau (ed.), Practical Handbook of Spatial Statistics, 1 ed. CRC Press, Boca Raton, 17-30.
  • [67] Wan N., Zou B., Sternberg T., 2012, A three-step floating catchment area method for analyzing spatial access to health services, International Journal of Geographical Information Science 26(6), 1073-1089.
  • [68] Wiśniewski S., Borowska-Stefańska M., Kowalski M., Sapińska P., 2020, Vulnerability of the accessibility to grocery shopping in the event of flooding, Transportation Research Part D: Transport and Environment, 87, 102510.
  • [69] Wu C., Powe N. A., Copeland A., 2020, Minimizing aggregation errors when measuring potential access to services for social groups at the city scale, Environment and Planning B: Urban Analytics and City Science, 48(8), 2206-2220.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cbce67fb-ac74-4c64-9152-d8b38de3c4c6
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.