Dynamic cities: Location-based accessibility modelling as a function of time

Applied Geography

Volumn 95, Issue , 2018, Pages 101-110

  Järv, Olle ^a   Tenkanen, Henrikki ^a   Salonen, Maria ^a   Ahas, Rein ^b   Toivonen, Tuuli ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

^b UNIVERSITY OF TARTU   (Estonia)

Author keywords

Big data; Dynamic accessibility; Public transport; Space time modelling; Spatial equity; Travel time

Indexed keywords

ACCESSIBILITY; CONCEPTUAL FRAMEWORK; EQUITY; LANDSCAPE CHANGE; MOBILITY; MODELING; PUBLIC TRANSPORT; TRANSPORTATION SYSTEM; TRAVEL TIME;

EID: 85046799674     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2018.04.009     Document Type: Article

References (94)

1. Ahas, R., Aasa, A., Silm, S., Tiru, M., Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data. Transportation Research Part C 18:1 (2010), 45–54 https://doi.org/10.1016/j.trc.2009.04.011.
2. Ahas, R., Silm, S., Järv, O., Saluveer, E., Tiru, M., Using mobile positioning data to model locations meaningful to users of mobile phones. Journal of Urban Technology 17:1 (2010), 3–27 https://doi.org/10.1080/10630731003597306.
3. Banister, D., The trilogy of distance, speed and time. Journal of Transport Geography 19:4 (2011), 950–959 https://doi.org/10.1016/j.jtrangeo.2010.12.004.
4. Batty, M., Modelling cities as dynamic systems. Nature 231:5303 (1971), 425–428 https://doi.org/10.1038/231425a0.
5. Bellemans, T., Kochan, B., Janssens, D., Wets, G., Arentze, T., Timmermans, H., Implementation framework and development trajectory of feathers activity-based simulation platform. Transportation Research Record: Journal of the Transportation Research Board 2175 (2010), 111–119 https://doi.org/10.3141/2175-13.
6. Benenson, I., Martens, K., Rofé Y., Kwartler, A., Public transport versus private car GIS-based estimation of accessibility applied to the Tel Aviv metropolitan area. The Annals of Regional Science 47:3 (2011), 499–515 https://doi.org/10.1007/s00168-010-0392-6.
7. Bertolini, L., le Clercq, F., Kapoen, L., Sustainable accessibility: A conceptual framework to integrate transport and land use plan-making. Two test-applications in The Netherlands and a reflection on the way forward. Transport Policy 12:3 (2005), 207–220 https://doi.org/10.1016/j.tranpol.2005.01.006.
8. Bhaskar, A., Chung, E., Fundamental understanding on the use of Bluetooth scanner as a complementary transport data. Transportation Research Part C: Emerging Technologies 37 (2013), 42–72 https://doi.org/10.1016/j.trc.2013.09.013.
9. Bloom, G.S., Golomb, S.W., Applications of numbered undirected graphs. Proceedings of the IEEE 65:4 (1977), 562–570 https://doi.org/10.1109/PROC.1977.10517.
10. Casas, I., Social exclusion and the Disabled: An accessibility approach. The Professional Geographer 59:4 (2007), 463–477 https://doi.org/10.1111/j.1467-9272.2007.00635.x.
11. Castells, M., The rise of the network society. 2000, Blackwell Publishers.
12. Chen, B.Y., Wang, Y., Wang, D., Li, Q., Lam, W.H.K., Shaw, S.-L., Understanding the impacts of human mobility on accessibility using massive mobile phone tracking data. Annals of the American Association of Geographers, 2018, 1–19 https://doi.org/10.1080/24694452.2017.1411244.
13. Chen, B.Y., Yuan, H., Li, Q., Wang, D., Shaw, S.-L., Chen, H.-P., et al. Measuring place-based accessibility under travel time uncertainty. International Journal of Geographical Information Science 31:4 (2017), 783–804 https://doi.org/10.1080/13658816.2016.1238919.
14. Chin, H.C., Foong, K.W., Influence of school accessibility on housing values. Journal of Urban Planning and Development 132:3 (2006), 120–129 https://doi.org/10.1061/(ASCE)0733-9488(2006)132%3A3(120).
15. Cresswell, T., Merriman, P., Geographies of Mobilities: Practices, spaces, subjects. 2011, Ashgate, Farnham.
16. Dai, D., Wang, F., Geographic disparities in accessibility to food stores in southwest Mississippi. Environment and Planning B: Planning and Design 38:4 (2011), 659–677 https://doi.org/10.1068/b36149.
17. Delafontaine, M., Neutens, T., Schwanen, T., Weghe, N.V.D., The impact of opening hours on the equity of individual space-time accessibility. Computers, Environment and Urban Systems 35:4 (2011), 276–288 https://doi.org/10.1016/j.compenvurbsys.2011.02.005.
18. Deville, P., Linard, C., Martin, S., Gilbert, M., Stevens, F.R., Gaughan, A.E., Tatem, A.J., Dynamic population mapping using mobile phone data. Proceedings of the National Academy of Sciences 111:45 (2014), 15888–15893 https://doi.org/10.1073/pnas.1408439111.
19. Dewulf, B., Neutens, T., Vanlommel, M., Logghe, S., De Maeyer, P., Witlox, F., Van de Weghe, N., Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times. Journal of Transport Geography 48 (2015), 41–51 https://doi.org/10.1016/j.jtrangeo.2015.08.006.
20. Diao, M., Zhu, Y., Ferreira, J., Ratti, C., Inferring individual daily activities from mobile phone traces: A boston example. Environment and Planning B: Planning and Design 43:5 (2016), 920–940 https://doi.org/10.1177/0265813515600896.
21. Djurhuus, S., Sten Hansen, H., Aadahl, M., Glümer, C., Building a multimodal network and determining individual accessibility by public transportation. Environment and Planning B: Planning and Design 43:1 (2016), 210–227 https://doi.org/10.1177/0265813515602594.
22. Dunkel, A., Visualizing the perceived environment using crowdsourced photo geodata. Landscape and Urban Planning 142 (2015), 173–186 https://doi.org/10.1016/j.landurbplan.2015.02.022.
23. El-Geneidy, A., Levinson, D., Diab, E., Boisjoly, G., Verbich, D., Loong, C., The cost of equity: Assessing transit accessibility and social disparity using total travel cost. Transportation Research Part A: Policy and Practice 91 (2016), 302–316 https://doi.org/10.1016/j.tra.2016.07.003.
24. Farrington, J., Farrington, C., Rural accessibility, social inclusion and social justice: Towards conceptualisation. Journal of Transport Geography 13:1 (2005), 1–12 https://doi.org/10.1016/j.jtrangeo.2004.10.002.
25. Frank, L., Bradley, M., Kavage, S., Chapman, J., Lawton, T.K., Urban form, travel time, and cost relationships with tour complexity and mode choice. Transportation 35:1 (2007), 37–54 https://doi.org/10.1007/s11116-007-9136-6.
26. Fransen, K., Neutens, T., Farber, S., De Maeyer, P., Deruyter, G., Witlox, F., Identifying public transport gaps using time-dependent accessibility levels. Journal of Transport Geography 48 (2015), 176–187 https://doi.org/10.1016/j.jtrangeo.2015.09.008.
27. Geurs, K.T., Krizek, K.J., Reggiani, A., Geurs, K.T., Krizek, K.J., Reggiani, A., (eds.) Accessibility analysis and transport planning: Challenges for Europe and North America, 2012, Edward Elgar Publishing Ltd, Cheltenham https://doi.org/10.4337/9781781000113.00006.
28. Geurs, K.T., van Eck, J., Evaluation of accessibility impacts of land-use Scenarios: The implications of job competition, land-use, and infrastructure developments for The Netherlands. Environment and Planning B: Planning and Design 30:1 (2003), 69–87 https://doi.org/10.1068/b12940.
29. Geurs, K.T., van Wee, B., Accessibility evaluation of land-use and transport strategies: Review and research directions. Journal of Transport Geography 12:2 (2004), 127–140 https://doi.org/10.1016/j.jtrangeo.2003.10.005.
30. Gini, C., On the measure of concentration with special reference to income and statistics, Vol. 208, 1936, Colorado College Publication, General Series, 73–79.
31. Glorieux, I., Mestdag, I., Minnen, J., The coming of the 24-hour Economy?: changing work schedules in Belgium between 1966 and 1999. Time & Society 17:1 (2008), 63–83 https://doi.org/10.1177/0961463X07086310.
32. Gould, P.R., Spatial diffusion, resource paper No. 4. 1969, Association of American Geographers, Commission on College Geographers, Washington, D.C.
33. Gutiérrez, J., García-Palomares, J.C., Distance-measure impacts on the calculation of transport service areas using GIS. Environment and Planning B: Planning and Design 35:3 (2008), 480–503 https://doi.org/10.1068/b33043.
34. Hägerstrand, T., What about people in regional science?. Papers of the Regional Science Association 24:1 (1970), 6–21 https://doi.org/10.1007/BF01936872.
35. Hansen, W.G., How accessibility shapes land use. Journal of the American Institute of Planners 25:2 (1959), 73–76 https://doi.org/10.1080/01944365908978307.
36. Hawelka, B., Sitko, I., Beinat, E., Sobolevsky, S., Kazakopoulos, P., Ratti, C., Geo-located Twitter as proxy for global mobility patterns. Cartography and Geographic Information Science 41:3 (2014), 1–12 https://doi.org/10.1080/15230406.2014.890072.
37. Horni, A., Nagel, K., Axhausen, K.W., Horni, A., Nagel, K., Axhausen, K.W., (eds.) The multi-agent transport simulation MATSim, 2016, Ubiquity Press, London Retrieved from http://www.oapen.org/record/613715.
38. Hubers, C., Schwanen, T., Dijst, M., ICT and temporal fragmentation of activities: An analytical framework and initial empiricial findings. Tijdschrift voor Economische en Sociale Geografie 99:5 (2008), 528–546 https://doi.org/10.1111/j.1467-9663.2008.00490.x.
39. Järvi, J., Salonen, M., Saarsalmi, P., Tenkanen, H., Toivonen, T., Reititin: An open source tool for analysing accessibility by public transport in greater Helsinki. 3rd open source geospatial research & education symposium OGRS 2014, 2014.
40. Järv, O., Muurisepp, K., Ahas, R., Derudder, B., Witlox, F., Ethnic differences in activity spaces as a characteristic of segregation: A study based on mobile phone usage in Tallinn, Estonia. Urban Studies 52:14 (2015), 2680–2698 https://doi.org/10.1177/0042098014550459.
41. Järv, O., Tenkanen, H., Toivonen, T., Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation. International Journal of Geographical Information Science 31:8 (2017), 1630–1651 https://doi.org/10.1080/13658816.2017.1287369.
42. Kitchin, R., Big Data, new epistemologies and paradigm shifts. Big Data & Society 1:1 (2014), 1–12 https://doi.org/10.1177/2053951714528481.
43. Kujala, R., Weckström, C., Mladenović M.N., Saramäki, J., Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys. Computers, Environment and Urban Systems 67 (2018), 41–54 https://doi.org/10.1016/J.COMPENVURBSYS.2017.08.012.
44. Kwan, M.-P., Beyond space (as we knew It): Toward temporally integrated geographies of segregation, health, and accessibility. Annals of the Association of American Geographers 103:5 (2013), 1078–1086 https://doi.org/10.1080/00045608.2013.792177.
45. Laatikainen, T., Tenkanen, H., Kyttä M., Toivonen, T., Comparing conventional and PPGIS approaches in measuring equality of access to urban aquatic environments. Landscape and Urban Planning 144 (2015), 22–33 https://doi.org/10.1016/j.landurbplan.2015.08.004.
46. Lahtinen, J., Salonen, M., Toivonen, T., Facility allocation strategies and the sustainability of service delivery: Modelling library patronage patterns and their related CO2-emissions. Applied Geography 44 (2013), 43–52 https://doi.org/10.1016/j.apgeog.2013.07.002.
47. Lee, J., Miller, H.J., Measuring the impacts of new public transit services on space-time accessibility: An analysis of transit system redesign and new bus rapid transit in Columbus, Ohio, USA. Applied Geography 93 (2018), 47–63 https://doi.org/10.1016/J.APGEOG.2018.02.012.
48. Lei, T.L., Church, R.L., Mapping transit‐based access: Integrating GIS, routes and schedules. International Journal of Geographical Information Science 24:2 (2010), 283–304 https://doi.org/10.1080/13658810902835404.
49. Long, Y., Thill, J.-C., Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing. Computers, Environment and Urban Systems 53 (2015), 19–35 https://doi.org/10.1016/j.compenvurbsys.2015.02.005.
50. Lowe, K., Mosby, K., The conceptual mismatch: A qualitative analysis of transportation costs and stressors for low-income adults. Transport Policy 49 (2016), 1–8 https://doi.org/10.1016/J.TRANPOL.2016.03.009.
51. Lucas, K., van Wee, B., Maat, K., A method to evaluate equitable accessibility: Combining ethical theories and accessibility-based approaches. Transportation 43:3 (2016), 473–490 https://doi.org/10.1007/s11116-015-9585-2.
52. Ma, X., Wu, Y.-J., Wang, Y., Chen, F., Liu, J., Mining smart card data for transit riders’ travel patterns. Transportation Research Part C: Emerging Technologies 36 (2013), 1–12 https://doi.org/10.1016/j.trc.2013.07.010.
53. Miller, H.J., Modelling accessibility using space-time prism concepts within geographical information systems. International Journal of Geographical Information Systems 5:3 (1991), 287–301 https://doi.org/10.1080/02693799108927856.
54. Miller, H.J., Place-based versus people-based accessibility. Levinson, D.M., Krizek, K.J., (eds.) Access to destinations, 2005, Emerald Group Publishing Ltd, 63–89 https://doi.org/10.1108/9780080460550-004.
55. Moya-Gómez, B., García-Palomares, J.C., Working with the daily variation in infrastructure performance on territorial accessibility. The cases of Madrid and Barcelona. European Transport Research Review 7:20 (2015), 1–13 https://doi.org/10.1007/s12544-015-0168-2.
56. Moya-Gómez, B., Salas-Olmedo, M.H., García-Palomares, J.C., Gutiérrez, J., Dynamic accessibility using big Data: The role of the changing conditions of network congestion and destination attractiveness. Networks and Spatial Economics, 2017, 1–18 https://doi.org/10.1007/s11067-017-9348-z.
57. Naess, P., Accessibility, activity participation and location of activities: Exploring the links between residential location and travel behaviour. Urban Studies 43:3 (2006), 627–652 https://doi.org/10.1080/00420980500534677.
58. Neutens, T., Accessibility, equity and health care: Review and research directions for transport geographers. Journal of Transport Geography 43 (2015), 14–27 https://doi.org/10.1016/J.JTRANGEO.2014.12.006.
59. Neutens, T., Delafontaine, M., Schwanen, T., Weghe, N. V. de, The relationship between opening hours and accessibility of public service delivery. Journal of Transport Geography 25 (2012), 128–140 https://doi.org/10.1016/j.jtrangeo.2011.03.004.
60. Neutens, T., Schwanen, T., Witlox, F., De Maeyer, P., Equity of urban service delivery: A comparison of different accessibility measures. Environment and Planning A 42 (2010), 1613–1635 https://doi.org/10.1068/a4230.
61. Noland, R.B., Smart, M.J., Guo, Z., Bikeshare trip generation in New York City. Transportation Research Part A: Policy and Practice 94 (2016), 164–181 https://doi.org/10.1016/j.tra.2016.08.030.
62. Noulas, A., Scellato, S., Mascolo, C., Pontil, M., An empirical study of geographic user activity patterns in Foursquare. Proceedings of the fifth international AAAI conference on weblogs and social media, 2011, 570–573.
63. Páez, A., Moniruzzaman, M., Bourbonnais, P.-L., Morency, C., Developing a web-based accessibility calculator prototype for the Greater Montreal Area. Transportation Research Part A: Policy and Practice 58 (2013), 103–115 https://doi.org/10.1016/j.tra.2013.10.020.
64. Penchansky, R., Thomas, J.W., The concept of access: Definition and relationship to consumer satisfaction. Medical Care 19:2 (1981), 127–140 https://doi.org/10.2307/3764310.
65. Pirie, G.H., Measuring accessibility: A review and proposal. Environment and Planning A 11:3 (1979), 299–312 https://doi.org/10.1068/a110299.
66. Reades, J., Calabrese, F., Ratti, C., Eigenplaces: Analysing cities using the space-time structure of the mobile phone network. Environment and Planning B: Planning and Design 36:5 (2009), 824–836 https://doi.org/10.1068/b34133t.
67. Sainio, J., Westerholm, J., Oksanen, J., Generating heat maps of popular routes online from massive mobile sports tracking application data in milliseconds while respecting privacy. ISPRS International Journal of Geo-Information 4:4 (2015), 1813–1826 https://doi.org/10.3390/ijgi4041813.
68. Salas-Olmedo, M.H., García-Alonso, P., Gutiérrez, J., Distance deterrence, trade barriers and accessibility. An analysis of market potential in the European Union. European Journal of Transport and Infrastructure Research 16:2 (2016), 319–343.
69. Salonen, M., Tenkanen, H., Heikinheimo, V., Toivonen, T., Future mobility and accessibility - greater Helsinki: A case study. Transitions towards a more sustainable mobility system: TERM 2016: Transport indicators tracking progress towards environmental targets in Europe, 2016, European Environment Agency, Publications Office of the European Union, Luxembourg, 35–37 https://doi.org/10.2800/895670.
70. Salonen, M., Toivonen, T., Modelling travel time in urban networks: Comparable measures for private car and public transport. Journal of Transport Geography 31 (2013), 143–153 https://doi.org/10.1016/j.jtrangeo.2013.06.011.
71. Sassen, S., The global city. 1991, Princeton University Press, New York, London, Tokyo.
72. Schönfelder, S., Axhausen, K., Urban rhythms and travel behaviour. Spatial and temporal phenomena of daily travel. 2010, Ashgate Publishing Ltd, Farnham, Surrey.
73. Serag El Din, H., Shalaby, A., Farouh, H.E., Elariane, S.A., Principles of urban quality of life for a neighborhood. HBRC Journal 9:1 (2013), 86–92 https://doi.org/10.1016/J.HBRCJ.2013.02.007.
74. Sjöberg, Ö., Tammaru, T., Transitional statistics: Internal migration and urban growth in post-soviet Estonia. Europe-Asia Studies 51:5 (1999), 821–842 https://doi.org/10.1080/09668139998732.
75. Soja, E.W., Seeking spatial justice. 2010, University of Minnesota Press Retrieved from https://www.upress.umn.edu/book-division/books/seeking-spatial-justice.
76. Steiger, E., Westerholt, R., Resch, B., Zipf, A., Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data. Computers, Environment and Urban Systems 54 (2015), 255–265 https://doi.org/10.1016/j.compenvurbsys.2015.09.007.
77. Stępniak, M., Goliszek, S., Spatio-temporal variation of accessibility by public transport—the equity perspective. Ivan, I., Singleton, A., Horák, J., Inspektor, T., (eds.) The rise of big spatial data. Lecture Notes in geoinformation and cartography, 2017, Springer, Cham, 241–261 https://doi.org/10.1007/978-3-319-45123-7_18.
78. Talen, E., Anselin, L., Assessing spatial Equity: An evaluation of measures of accessibility to public playgrounds. Environment and Planning A 30:4 (1998), 595–613 https://doi.org/10.1068/a300595.
79. Tenkanen, H., Saarsalmi, P., Järv, O., Salonen, M., Toivonen, T., Health research needs more comprehensive accessibility measures: Integrating time and transport modes from open data. International Journal of Health Geographics, 15(1), 2016, 23 https://doi.org/10.1186/s12942-016-0052-x.
80. UN, UN = United Nations, department of economic and social affairs, population division. World urbanization Prospects: The 2014 revision, highlights (ST/ESA/SER.A/352). 2014, Department of Economic and Social Affairs, Population Division, New York: United Nations.
81. UN. World population Prospects: The 2015 revision, key findings and advance tables. 2015, United Nations, Department of Economic and Social Affairs, Population Division, New York.
82. Urry, J., Mobilities. 2007, Polity, Cambridge, UK; Malden, MA.
83. Van Wee, B., Geurs, K.T., Discussing equity and social exclusion in accessibility evaluations. European Journal of Transport and Infrastructure Research 11:4 (2011), 350–367.
84. Vandenbulcke, G., Steenberghen, T., Thomas, I., Mapping accessibility in Belgium: A tool for land-use and transport planning?. Journal of Transport Geography 17:1 (2009), 39–53 https://doi.org/10.1016/j.jtrangeo.2008.04.008.
85. Vilhelmson, B., Thulin, E., Virtual mobility, time use and the place of home. Tijdschrift voor Economische en Sociale Geografie 99:5 (2008), 602–618 https://doi.org/10.1111/j.1467-9663.2008.00494.x.
86. Wang, J., Wei, D., He, K., Gong, H., Wang, P., Encapsulating urban traffic rhythms into road networks. Scientific Reports, 4, 2014, 4141 https://doi.org/10.1038/srep04141.
87. van Wee, B., Accessible accessibility research challenges. Journal of Transport Geography 51 (2016), 9–16 https://doi.org/10.1016/J.JTRANGEO.2015.10.018.
88. Widener, M.J., Farber, S., Neutens, T., Horner, M., Spatiotemporal accessibility to supermarkets using public transit: An interaction potential approach in cincinnati, Ohio. Journal of Transport Geography 42 (2015), 72–83 https://doi.org/10.1016/j.jtrangeo.2014.11.004.
89. Widener, M.J., Minaker, L., Farber, S., Allen, J., Vitali, B., Coleman, P.C., et al. How do changes in the daily food and transportation environments affect grocery store accessibility?. Applied Geography 83 (2017), 46–62 https://doi.org/10.1016/J.APGEOG.2017.03.018.
90. Wolch, J.R., Byrne, J., Newell, J.P., Urban green space, public health, and environmental justice: The challenge of making cities “just green enough”. Landscape and Urban Planning 125 (2014), 234–244 https://doi.org/10.1016/j.landurbplan.2014.01.017.
91. Wolf, J., Schönfelder, S., Samaga, U., Oliveira, M., Axhausen, K., Eighty weeks of global positioning system Traces: Approaches to enriching trip information. Transportation Research Record: Journal of the Transportation Research Board 1870 (2004), 46–54 https://doi.org/10.3141/1870-06.
92. Yiannakoulias, N., Bland, W., Svenson, L.W., Estimating the effect of turn penalties and traffic congestion on measuring spatial accessibility to primary health care. Applied Geography 39 (2013), 172–182 https://doi.org/10.1016/j.apgeog.2012.12.003.
93. Zielstra, D., Hochmair, H., Comparative study of pedestrian accessibility to transit stations using free and proprietary network data. Transportation Research Record: Journal of the Transportation Research Board 2217 (2011), 145–152 https://doi.org/10.3141/2217-18.
94. Ziemke, D., Joubert, J.W., Nagel, K., Accessibility in a post-apartheid City: Comparison of two approaches for accessibility computations. Networks and Spatial Economics, 2017, 1–31 https://doi.org/10.1007/s11067-017-9360-3.