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2022 | 26 | 1 |

Article title

The potential accessibility to workplaces and working-age population by means of public and private car transport in Szczecin

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Abstracts

EN
Commuting to work is one of the key motivations for people to move around cities or other regions. For the purpose of this study, the city of Szczecin in Poland has been selected, where the modal division of transport includes public transport (bus, tram) and private transport (car). The maps present the spatial distribution of citizens within a working area as well as precise locations of workplaces registered in the REGON database. The main objective of this study is to analyse the potential accessibility of workplaces and the working-age population of the city using the abovementioned modes of transport, and to indicate the places less accessible by public transport and car for commuting purposes. The study presented herein is based on data from 2018. The calculated average accessibility by diferent means of public and private transport as well as the potential accessibility quotient are presented in the form of box plots.

Contributors

  • Department of Spatial Organization, Institute of Geography and Spatial Organization, Polish Academy of Sciences, Warsaw, Poland
  • The Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland

References

  • Allen, J 2019, ‛Mapping diferences in access to public libraries by travel mode and time of day', Library & Information Science Research, vol. 41, no. 1, pp. 11-18.
  • Allen, J & Farber, S 2019, ‛Sizing up transport poverty: A national scale accounting of low-income households sufering from inaccessibility in Canada, and what to do about it', Transport Policy, vol. 74, pp. 214-223.
  • Assemi, B Baker, D & Paz, A 2020, ‛Searching for on-street parking: An empirical investigation of the factors influencing cruise time', Transport Policy, vol. 97, pp. 186-196.
  • Beria, P, Debernardi, A & Ferrara, E 2017, ‛Measuring the longdistance accessibility of Italian cities', Journal of Transport Geography, vol. 62, pp. 66-79.
  • Bok, J & Kwon, Y 2016, ‛Comparable Measures of Accessibility to Public Transport Using the General Transit Feed Specification' , Sustainability, vol. 8 no. 3, 224.
  • Boussauw, K, Derudder, B & Witlox, F 2011, ‛Measuring spatial separation process through the minimum commute: the case of Flanders', European Journal of Transport and Infrastructure Research, vol. 11 no. 1, pp. 42-60.
  • Central Statistical Ofice, REGON database of companies in Szczecin. Available from: https://szczecin.stat.gov.pl/ cogdzie-jak-zalatwic/regon/ [10 March 2020].
  • City Hall of Szczecin, population in the age divided into districts 2009-2018. Available from: http://www.szczecin.pl/ chapter_59000.asp [11 May 2020].
  • Cofey, W (1978, ‛ Income Relationships in Boston and Toronto: A Tale for Two Countries?', Canadian Geographer, vol. 2, no. 22, pp. 112-129.
  • Comprehensive Trafic Research in Szczecin 2016. Available from: http://bip.um.szczecin.pl/chapter_11124.asp?soid= 2C19A077C8BE419985E3622664C0AA8D [10 February 2020].
  • Delling, D, Pajor, T & Werneck, RF 2014, ‛Round-based public transit routing', Transportation Science, vol. 49, no. 3, pp. 591-604.
  • El-Geneidy, A & Levinson, D 2007, ‛Mapping Accessibility Over Time', Journal of Maps, vol. 3, no. 1, pp. 76-87.
  • El-Geneidy, A, Buliung, R & Diab, E 2015, ‛Non-stop equity: Assessing daily intersections between transit accessibility and social disparity across the Greater Toronto and Hamilton Area (GTHA)', Environment and Planning B: Urban Analytics and City Science.
  • El-Geneidy, A, Levinson, D & Diab, E 2016, ‛The cost of equity: Assessing transit accessibility and social disparity using total travel cost', In 95th Annual Meeting of the Transportation Research Board, pp. 1-34. Washington D.C., USA.
  • Farber, S, Benjamin, R & Liwei, F 2016, ‛Space-time mismatch between transit service and observed travel patterns in the Wasatch Front, Utah: A social equity perspective', Travel Behaviour and Society, vol. 4, pp. 40-48.
  • Farber, S, Morang, MZ & Widener, MJ 2014, ‛Temporal variability in transit-based accessibility to supermarkets', Applied Geography, vol. 53, pp. 149-159.
  • Fielbaum,A, & Jara-Diaz, S. 2021, 'Assessment of the sociospatial efects of urban transport investment using Google Maps API', Journal of Transport Geography, 91, 102993.
  • Fransen, K, Neutens, T, Farber, S, De Maeyer, P, Deruyter, G & Witlox, F 2015, ‛Identifying public transport gaps using time-dependent accessibility levels', Journal of Transport Geography, vol. 48, pp. 176-187.
  • Gadziński, J & Bul, R 2017, ‛Planowanie przebiegu linii transportu zbiorowego w oparciu o kryterium dostępności [ Planning new public transport line based on accessibility criteria]', Przegląd Komunikacyjny, vol. 4, pp. 2-7.
  • Gadziński, J & Beim, M 2010, ‛Dostępność czasowa celów podróży przy dojazdach lokalnym transportem publicznym w Poznaniu [Time accessibility of travel targets for accessing by means of local public transport in Poznan]', Transport Miejski i Regionalny, vol. 3, pp. 9-13.
  • Geurs, KT & van Wee, B 2004, ‛Accessibility evaluation of land use and transport strategies: Review and research directions', Journal of Transport Geography, vol. 12, no. 2, pp. 127-140.
  • Goliszek, S & Połom, M 2016, ‛The use of general transit feed specification (GTFS) application to identify deviations in the operation of public transport at morning rush hour on the example of Szczecin', Europa XXI, vol. 31, pp. 51-60.
  • Goliszek, S 2017, ‛Space-time variation of accessibility to jobs by public transport - a case study of Szczecin', Europa XXI, vol. 33, pp. 49-66.
  • Goliszek, S 2021, ‛GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland', Journal of Geographical Systems, vol. 23, no. 1, pp. 115-137.
  • Goliszek, S, Połom, M & Duma, P 2020, 'Potential and cumulative accessibility of workplaces by public transport in Szczecin', Bulletin of Geography. Socio-economic Series, vol. 50, pp. 133-146.
  • GTFS open data Szczecin. Available from: https://www.zditm. szczecin.pl/rozklady/GTFS/latest/. [22 July 2019].
  • Hadas, Y 2013, ‛Assessing public transport systems connectivity based on Google Transit data', Journal of Transport Geography, vol. 33, pp. 105-116.
  • Hägerstrand, T 1970, ‛What about people in regional science?', Papers of the Regional Science Association, vol. 24, no. 1, pp. 6-21.
  • Hansen, WG 1959, ‛How accessibility shapes land-use', Journal of American Institute of Planners, vol. 25, pp. 73-76.
  • Harris, CD 1954, ‛The market as a factor in the localization of industry in the United States', Annals of the Association of American Geographers, vol. 44, pp. 315-348.
  • Hongbo, Y & Shih-Lung, S 2007, ‛Revisiting Hägerstrand's timegeographic framework for individual activities in the age of instant access', Societies and Cities in the Age of Instant Access, pp. 103-118.
  • Jiang, L, Hagen-Zanker, A, Kumar, P, & Pritchard, J 2021, 'Equity in job accessibility and environmental quality in a segmented housing market: The case of Greater London' Journal of Transport Geography, 90, 102-908.
  • Karner, A 2018, ‛Assessing public transit service equity using route-level accessibility measures and public data', Journal of Transport Geography, vol. 67, pp. 24-32.
  • Kent, JL 2014, ‛Driving to save time or saving time to drive? The enduring appeal of the private car', Transportation Research Part A: Policy and Practice, vol. 65, pp. 103-115.
  • Lagrell, E, Thulin, E & Vilhelmson, B 2018, ‛Accessibility strategies beyond the private car: A study of voluntarily carless families with young children in Gothenburg', Journal of Transport Geography, vol. 72, pp. 218-227.
  • Lei, T & Von u Thakuriah, P 2012, ‛Ridership efects of real-time bus information system: A case study in the City of Chicago', Transportation Research Part C: Emerging Technologies, vol. 22, pp. 146-161.
  • Levinson, D M & King, D 2020, ‛Transport Access Manual', 229, Sydney.
  • Loo, B & Chow, A 2011, ‛Jobs-housing balance in an era of population decentralization: an analytical framework and a case study', Journal of Transport Geography, vol. 19 no. 4, pp. 552-562.
  • Martínez-Jiménez, E & Salinas-Pérez, JA 2019, ‛Accessibility to culture and education. Educative city of Córdoba (Spain)', Journal of Maps, vol. 15, no. 1, pp. 39-45.
  • Merchant, DK & Nemhauser GL 1978, ‛A model and an algorithm for the dynamic trafic assignment problems ', Transportation Science, vol. 12, no. 3, pp. 183-199.
  • Miller, HJ 1991, 'Modelling accessibility using space-time prism concepts within geographical information systems', International Journal of Geographical Systems, vol. 5, no. 3, pp. 287-301.
  • Moya-Gómez, B & García-Palomares, JC 2017, ‛The daily dynamic potential accessibility by car in London on Wednesdays', Journal of Maps, vol. 13, no. 1, pp. 31-39.
  • Neutens, T 2015, ‛Accessibility, equity and health care: review and research directions for transport geographers', Journal of Transport Geography, vol. 43, pp. 14-27.
  • Niedzielski, MA 2006, ‛A spatially disaggregated approach to commuting eficiency ', Urban Studies, vol. 43, no. 13, pp. 2485-2502.
  • Niedzielski, MA & Boschmann, EE 2014, ‛Travel time and distance as relative accessibility in the journey to work', Annals of the Association of American Geographers vol. 104, pp. 1156-1182.
  • Niedzielski, MA & Śleszyński, P 2008, ‛Analyzing accessibility by transport mode in Warsaw, Poland', Geographia Polonica, vol. 81, no. 2, pp. 61-78.
  • Niedzielski, MA Hu, Y & Stępniak, M 2020 , ‛Temporal dynamics of the impact of land use on modal disparity in commuting eficiency ', Computers, Environ and Urban Sys, vol. 83, 101523.
  • O'Kelly, ME & Lee, W 2005, ‛Disaggregate journey-to-work data: implications for excess commuting and jobs-housing balance', Environment and Planning A, vol. 37, no. 12, pp. 2233-2252.
  • O'Kelly, ME & Niedzielski, MA 2008, ‛Eficient spatial interaction: attainable reductions in metropolitan average trip length', Journal of Transport Geography vol. 16, no. 5, pp. 313-323.
  • O'Kelly, ME & Niedzielski, MA 2009, ‛Are long commute distances ineficient and disorderly? ', Environment & Planning A: Economy and Space, vol. 41, no. 11, pp. 2741-2759.
  • O'Kelly, ME, Niedzielski, MA & Gleeson, J 2012, ‛Spatial Interaction Models from Irish Commuting Data: Variations in Trip Length by Occupation and Gender', Journal of Geographical Systems, vol. 14, no. 4, pp. 357-387.
  • Owen, A & Levinson D 2015, ‛Modeling the commute mode share of transit using continuous accessibility to jobs', Transportation Research Part A: Policy and Practice, vol. 74, pp. 110-122.
  • Poelman, H & Dijkstra, L 2015, ‛Measuring access to public transport in European cities', Regional Working Paper.
  • Ritsema van Eck J, Burghouwt G, Dijst M 2005, 'Lifestyles, spatial configurations and quality of life in daily travel: an explorative simulation study', Journal of Transport Geography, vol. 13, pp. 123-134.
  • Rosik, P, Pomianowski, W, Komornicki, T, Goliszek, S, SzejgiecKolenda, B & Duma, P 2020, ‛Regional dispersion of potential accessibility quotient at the intra-European and intranational level. Core-periphery pattern, discontinuity belts and distance decay tornado efect ', Journal of Transport Geography, vol. 82, 102-554.
  • Rosik, P, Puławska-Obiedowska, S & Goliszek S 2021, 'Public transport accessibility to upper secondary schools measured by the potential quotient: The case of Kraków', Moravian Geographical Reports, vol. 29, no. 1, pp. 15-26.
  • Rosik, P, Stępniak, M & Wiśniewski, R 2010, ‛ Dojazdy do pracy do Warszawy i Białegostoku - alternatywne podejścia metodologiczne [Commuting to Warsaw and Białystok - Alternative Methodological Approaches]', Studia Regionalne i Lokalne, vol. 2, pp. 77-98.
  • Salonen, M & Toivonen, T 2013, ‛Modelling travel time in urban networks: Comparable measures for private car and public transport', Journal of Transport Geography, vol. 31, pp. 143-153.
  • Shearmur, R 2006, ‛Travel from home: an economic geography of commuting distances in Montreal', Urban Geography, vol. 27, no. 4, pp. 330-359.
  • Shirgaokar, M 2014, ‛Employment centers and travel behavior: exploring the work commute of Mumbai's rapidly motorizing middle class', Journal of Transport Geography, vol. 41, pp. 249-258.
  • Stępniak, M & Goliszek, S 2017, ‛Spatio-temporal variation of accessibility by public transport - the equity perspective', [w:] Red. Igor Ivan, Alex Singleton, Jiří Horák, Tomáš Inspektor, The rise of big spatial data, Lecture Notes in Geoinformation and Cartography, Springer International Publishing, Cham,. 241-261.
  • Stępniak, M, Pritchard, J, Geurs, KT & Goliszek, S 2019, ‛The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland', Journal of Transport Geography, vol. 75, no. 2, pp. 8-24.
  • Sweet, M Harrison, C Kanaroglou, P 2015, ‛Congestion Trends in the City of Toronto (2011-2014)', McMaster Institute for Transportation and Logistics, Hamilton, Ontario.
  • Ting, LL & Church, RL 2010, ‛Mapping transit-based access: integrating GIS, routes and schedules', International Journal of Geographical Information Science, vol. 24, no. 2, pp. 283-304.
  • Toole, JL, Colak, S, Sturt, B, Alexander, LP, Evsukof, A & Gonzalez, MC 2015, ‛The path most travelled: Travel demand estimation using big data resources', Transportation Research Part C: Emerging Technologies, vol. 58, pp.162- 177.
  • Vickerman, R, Spiekermann, K & Wegener, M 1999, ‛Accessibility and Economic Development in Europe', Regional Studies vol. 33, no. 1, pp. 1-15.
  • Vickerman, RW 1974, ‛Accessibility, attraction and potential: A review of some concepts and their use in determining mobility', Environment and Planning A, vol. 6, pp. 675-691.
  • Wang, CH & Chen, N 2015, ‛A GIS-based spatial statistical approach to modelling job accessibility by transportation mode: case study of Columbus, Ohio', Journal of Transport Geography, vol. 45, pp. 1-11.
  • Wang, F & Xu, Y 2011, ‛Estimating O-D matrix of travel time by Google Maps API: Implementation, advantages and implications', Annals of GIS, vol. 17, pp. 199-209.
  • Wang, L, Li, L, Wu, B & Bai Y 2013, ‛Private Car Switched to Public Transit by Commuters, in Shanghai, China', Procedia - Social and Behavioral Sciences, vol. 96, pp. 1293-1303.
  • Wessel, N & Widener, M 2016, ‛Discovering the space-time dimensions of schedule padding and delay from GTFS and real-time transit data', Journal of Geographical Systems, col. 19, pp. 93-107.
  • Wessel, N, Allen, J & Farber, S 2017, ‛Constructing a Routable Retrospective Transit Timetable from a Real-time Vehicle Location Feed and GTFS', Journal of Transport Geography, vol. 62, pp. 92-97.
  • Widener, MJ, Farber, S, Neutens, T & Horner, M 2015, ‛Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati. Ohio', Journal of Transport Geography, vol. 42, pp. 72-83.
  • Widener, MJ, Minaker, LM, Farber, S, Allen, J, Vitali, B, Coleman, PC & Cook, B 2017, ‛How do changes in the daily food and transportation environments afect grocery store accessibility?', Applied Geography, vol. 83, pp. 46-62.
  • Yongling, Y & Guonan, Z 2009, ‛Empirical analysis of spatial mismatch of living-working: based on a field survey in downtown Beijing', International Journal of Urban Sciences, vol. 13, no. 1, pp. 1-17.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2092528

YADDA identifier

bwmeta1.element.ojs-doi-10_2478_mgrsd-2020-0069
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