Design of Social Infrastructure and Services Taking into Account Internal Migration by Age Cohort

1 Angel, S., Parent, J., Civco, D. L., & Blei, A. M. (2010). The Persistent Decline of Urban Densities: Global and Historical Evidence of Sprawl, available at http://www.lincolninst.edu/pubs/1834_The-Persistent-Decline-in-Urban-Densities (1 December 2023) Search in Google Scholar

2 Angel, S., Parent, J., Civco, D. L., Blei, A. & Potere, D. (2011). The Dimensions of Global Urban Expansion: Estimates and Projections for all Countries, 2000-2050, Progress in Planning, 75(2), 2, 53–107. https://doi.org/10.1016/j.progress.2011.04.001 Search in Google Scholar

3 Arends-Kuenning, M., Baylis, K., & Garduño-Rivera, R. (2018). The effect of NAFTA on internal migration in Mexico: a regional economic analysis. Applied Economics, 51(10), 1052–1068. https://doi.org/10.1080/00036846.2018.1524976 Search in Google Scholar

4 Black K., & Hyer K. (2020). Generational Distinctions on the Importance of Age-Friendly Community Features by Older Age Groups. Journal of Applied Gerontology, 39(9), 1025-1034. doi: 10.1177/0733464819847885. Search in Google Scholar

5 Bogataj, D., Battini, D., Calzavara, M., & Persona, A. (2019a). The Ageing Workforce Challenge: Investments in Collaborative Robots or Contribution to Pension Schemes, From the Multi-Echelon Perspective, International Journal of Production Economics, 210, 97–106. https://doi.org/10.1016/j.ijpe.2018.12.016 Search in Google Scholar

6 Bogataj, D., Bogataj, M., & Drobne, S. (2019b). Interactions Between Flows of Human Resources in Functional Regions and Flows of Inventories in Dynamic Processes of Global Supply Chains, International Journal of Production Economics, 209, 215–225. https://doi.org/10.1016/j.ijpe.2017.10.018 Search in Google Scholar

7 Bogataj, D., Bolarín, F. C., Kavšek, M., & Rogelj, V. (2020a). Smart Silver Villages as Part of Social Infrastructure for Older Adults in Rural Areas, IFAC PapersOnLine, 53(2), 16914–16919. https://doi.org/10.1016/j.ifacol.2020.12.1233 Search in Google Scholar

8 Bogataj, D., Rogelj, V., Drobež, E., & Salaj, A. T. (2020b). Ambient Assisted Living in Lifetime Neighbourhoods, IFAC PapersOnLine, 53(2), 16896–16901. https://doi.org/10.1016/j.ifacol.2020.12.1226 Search in Google Scholar

9 Bogataj, D., Bogataj, M., Black, K., Hyer, K., & Kavšek, M. (2020c). Distinctions on the Importance of Age-Friendly Services by Old Age Group : A Comparative Study between the USA and the EU, Innovation in aging, 4(1), 32. Search in Google Scholar

10 Bogataj, D., Campuzano-Bolarin, F., Moreno Nicolás, J. A., & Sethi, S. P. (2024). Gravity modelling of intercontinental supply chains considering a new port location. Central European Journal of Operations Research. https://doi.org/10.1007/s10100-024-00909-0 Search in Google Scholar

11 Bogataj, M., & Drobne, S. (2011). Decision Making in Competitivness of Regions, Croatian Operational Research Review, 2, 194–207. Search in Google Scholar

12 Calzavara, M., Battini, D., Bogataj, D., Sgarbossa, F., & Zennaro, I. (2020). Ageing workforce management in manufacturing systems: state of the art and future research agenda. International Journal of Production Research, 58(3), 729-747. https://doi.org/10.1080/00207543.2019.1600759 Search in Google Scholar

13 Christian, W., Braden, W. (1966). Rural Migration and Gravity Model, Rural Sociology, 31(1), 73–80. Search in Google Scholar

14 Conway, K. S., & Houtenville, A. (2003). Out with the Old, in with the Old. A Closer Look and Younger Versus Older Elderly Migration, Social Science Quarterly, 84, 309–328. https://doi.org/10.1111/1540-6237.8402006 Search in Google Scholar

15 Cunningham, C. R., & Engelhardt, G. V. (2008). Housing Capital-gains Taxation and Homeowner Mobility: Evidence from the Taxpayer Relief Act of 1997, Journal of Urban Economics, 63(3), 803–815. https://doi.org/10.1016/j.jue.2007.05.002 Search in Google Scholar

16 CSSI (2023). Community of Slovenian Social Institutions. Available at https://www.sszslo.si/splosno-o-posebnih-domovih/pregled-kapacitet-in-pokritost-institucionalnegavarstva-starejsih-in-posebnih-skupin-odraslih/ (15 August 2023) Search in Google Scholar

17 Das, B., Singh, A., Panda, S. N., & Yasuda, H. (2015). Optimal Land and Water Resources Allocation Policies for Sustainable Irrigated Agriculture, Land Use Policy, 42, 527–537. https://doi.org/10.1016/j.landusepol.2014.09.012 Search in Google Scholar

18 De Jong, P. W., Adsera, A., & De Valk, H. A. G.(2020). The Role of Welfare in Locational Choice: Modelling Intra-European Migration Decision Across the Life-Course, Tijdshrift voor Economische en Sociale Geografie, 111(2), 163–181. https://doi.org/10.1111/tesg.12390 Search in Google Scholar

19 Drobne, S., Janež, P., Bogataj, M., & David, B. (2019). Taxation and revenues of central places as the regulator of available human resources in manufacturing - related to the bid rent curve. IFAC-PapersOnLine, 52(13), 2674-2679. https://doi.org/10.1016/j.ifacol.2019.11.611 Search in Google Scholar

20 Drobne, S., & Bogataj, M. (2022). Migration Flows through the Lens of Human Resource Ageing. Business Systems Research Journal, 13(3), 47-62. https://doi.org/10.2478/bsrj-2022-0024 Search in Google Scholar

21 Engelhardt, G. V. (2003). Nominal Loss Aversion, Housing Equity Constraints, and Housing Mobility: Evidence from the United States, Journal of Urban Economics, 53, 171–195. https://doi.org/10.1016/S0094-1190(02)00511-9 Search in Google Scholar

22 Espon. (2013). ATTREG - Attractiveness of European Regions and Cities for Residents and Visitors. https://www.espon.eu/programme/projects/espon-2013/applied-research/attreg-attractiveness-european-regions-and-cities Search in Google Scholar

23 European Commission. (2023). 2024 Ageing Report. Underlying Assumptions and Projection Methodologies, Economy and Finance, Institutional Paper 257, available at https://economy-finance.ec.europa.eu/publications/2024-ageing-report-underlying-assumptions-and-projection-methodologies_en (6 January 2024) Search in Google Scholar

24 Fang, C., Cui, X., Li, G., Bao, C., Wang, Z., Ma, H., Sun, S., Liu, H., Luo, K., & Ren, Y. (2019). Modeling Regional Sustainable Development Scenarios using the Urbanization and Eco-Environment Coupler: Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China, Science of The Total Environment, 689, 820–830. https://doi.org/10.1016/j.scitotenv.2019.06.430 Search in Google Scholar

25 Ferreira, F., Gyourko, J., & Tracy, J. (2010). Housing Busts and Household Mobility, Journal of Urban Economics, 68(1), 34–45. https://doi.org/10.1016/j.jue.2009.10.007 Search in Google Scholar

26 Groth, J., & Corijn, E. (2005). Reclaiming Urbanity: Indeterminate Spaces, Informal Actors and Urban Agenda Setting. Urban Studies, 42(3), 503-526. https://doi.org/10.1080/00420980500035436 Search in Google Scholar

27 Gu, H. Y., Jie, Y. Y., & Lao, X. (2022). Health Service Disparity, Push-Pull Effect, and Elderly Migration in Ageing China, Habitat International, 125, 102581. https://doi.org/10.1016/j.habitatint.2022.102581 Search in Google Scholar

28 Hanhörster, H. (2009). Migration Dynamics in a Shrinking City, A Qualitative Investigation of Urban Internal Removals, 63(2), 196–197. Search in Google Scholar

29 Hillmann, F. (2009). Migration Dynamics in a Shrinking City. A Qualitative Study of Intra-Urban Moves, Geographische Zeitschrift, 97(2–3), 170–172. Search in Google Scholar

30 Isard, W. (1954). Location Theory and Trade Theory: Short-Run Analysis, Quarterly Journal of Economics, 68(2), 305–320. Search in Google Scholar

31 Johnston, R. J. (1970). Latent Migration Potential and Gravity Model - New-Zealand Study, Geographical Analysis, 2(4), 387–397. Search in Google Scholar

32 Karpestam, P. (2018). Who Benefits from More Housing? A Panel Data Study on the Role of Housing in the Intermunicipal Migration of Different Age Cohorts in Sweden, Review of Regional Studies, 48(3), 401–425. https://doi.org/10.52324/001c.7994 Search in Google Scholar

33 Li, W., Li, H., Wang, S., & Feng, Z. (2022). Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China, Land, 11(1), 1709, https://doi.org/10.3390/land11101709 Search in Google Scholar

34 Li, W. C., Li, H., Hao, F. L., Feng, Z. Q., & Wang, S. J. (2024). A Simulation of the Spatial Expansion Process of Shrinking Cities Based on the Concept of Smart Shrinkage: A Case Study of the City of Baishan, Land, 13(2), 239. https://doi.org/10.3390/land13020239 Search in Google Scholar

35 Liang, X., Liu, X., Li, X., Chen, Y., Tian, H., & Yao, Y. (2018). Delineating Multi-Scenario Urban Growth Boundaries with a CA-based FLUS Model and Morphological Method, Landscape and Urban Planning, 177, 47–63. https://doi.org/10.1016/j.landurbplan.2018.04.016 Search in Google Scholar

36 Lin, H. Z. (2020). The Shrinking of Beijing and the Rising of Xiong'an: Optimize Population Migration in Terms of Transport Service, Discrete Dynamics in Nature and Society, 2020, 8282070. https://doi.org/10.1155/2020/8282070 Search in Google Scholar

37 MFRS. (2023). Ministry of Finance of the Republic of Slovenia, available at https://www.gov.si/en/state-authorities/ministries/ministry-of-finance/ (15 August 2023) Search in Google Scholar

38 Oswalt, P., & Bundes, K. (2005). Shrinking Cities: International Research, Distributed Art Pub Incorporated: New York, NY, USA. Search in Google Scholar

39 Rienow, A., Stenger, D., & Menz, G. (2014). Sprawling Cities and Shrinking Regions - Forecasting Urban Growth in the Ruhr for 2025 By Coupling Cells and Agents, Erdkunde, 68(2), 85–107. Search in Google Scholar

40 SIR. (2023). Slovenian Infrastructure Agency, available at https://www.gov.si/en/state-authorities/bodies-within-ministries/slovenian-infrastructure-agency/ (15 August 2023) Search in Google Scholar

41 SMARS (2023). Surveying and Mapping Authority of the Republic of Slovenia, available at https://www.gov.si/en/state-authorities/bodies-within-ministries/surveying-and-mapping-authority/ (15 August 2023) Search in Google Scholar

42 Smith, M. H., & Smith, G.N. (2007). Homeownership in an Uncertain World with Substantial Transaction Costs, Journal of Regional Science, 47, 881–896. https://doi.org/10.1111/j.1467-9787.2007.00534.x Search in Google Scholar

43 SORS. (2023). SiStat Database – SURS, Statistical Office of the Republic of Slovenia, available at https://pxweb.stat.si/SiStat/en (15 August 2023) Search in Google Scholar

44 Wang, Z., Li, X., Mao, Y., Li, L., Wang, X., & Lin, Q. (2022a). Dynamic Simulation of Land Use Change and Assessment of Carbon Storage Based on Climate Change Scenarios at the City Level: A Case Study of Bortala, China, Ecological Indicators, 134, 108499. https://doi.org/10.1016/j.ecolind.2021.108499 Search in Google Scholar

45 Wang, J., Zhang, J., Xiong, N., Liang, B., Wang, Z., & Cressey, E. L. (2022b). Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing, Remote Sensing, 14(6), 1452–1472. https://doi.org/10.3390/rs14061452 Search in Google Scholar

46 Wolff, M., Haase, D., & Haase, A. (2018). Compact or spread? A quantitative spatial model of urban areas in Europe since 1990. PLOS ONE, 13(2), e0192326. https://doi.org/10.1371/journal.pone.0192326 Search in Google Scholar

47 World Health Organization (2007). Global age-friendly cities: A guide, available at http://www.who.int/ageing/publications/Global_age_friendly_cities_Guide_English.pdf (24 June 2023) Search in Google Scholar

48 Zuo, Z., Li, Y., Guo, H., & Cheng, J. (2023). Spatial Evolution and Decomposition of Energy-Related CO2 Emissions in China's Mining Industry: From the Perspective of Regional Heterogeneity, Environmental Science and Pollution Research, 30(45), 101599–101615. https://doi.org/10.1007/s11356-023-29244-8 Search in Google Scholar