Open Access

Local Amenities – Spatial Modelling of Market Potential Based on Open Data


Cite

Chen, X., & Clark, J. (2013). Interactive three-dimensional geovisualization of space–time access to food. Applied Geography (Sevenoaks, England), 43, 81–86. https://doi.org/10.1016/j.apgeog.2013.05.012 Search in Google Scholar

Chiang, Y. H., Peng, T. C., & Chang, C. O. (2015). The nonlinear effect of convenience stores on residential property prices: A case study of Taipei, Taiwan. Habitat International, 46, 82–90. https://doi.org/10.1016/j.habitatint.2014.10.017 Search in Google Scholar

Fanning, S. F. (2014). Market Analysis for Real Estate. Appraisal Institute, 1-689. Search in Google Scholar

Garcia-López, M-A. (2012). Urban spatial structure, suburbanization and transportation in Barcelona. Journal of Urban Economics, 72(2–3), 176–190. https://doi.org/10.1016/j.jue.2012.05.003 Search in Google Scholar

Glaeser, E. L., Kolko, J., & Saiz, A. (2001). Consumer city. Journal of Economic Geography, 1(1), 27–50. https://doi.org/10.1093/jeg/1.1.27 Search in Google Scholar

Hänninen, M., Luoma, J., & Mitronen, L. (2021). Information standards in retailing? A review and future outlook. International Review of Retail, Distribution and Consumer Research, 31(2), 131–149. https://doi.org/10.1080/09593969.2020.1845224 Search in Google Scholar

Kesarovski, T., & Hernández-Palacio, F. (2023). Time, the other dimension of urban form: Measuring the relationship between urban density and accessibility to grocery shops in the 10- minute city. Environment and Planning. B, Urban Analytics and City Science, 50(1), 44–59. https://doi.org/10.1177/23998083221103259 Search in Google Scholar

Kiel, K. A., & Zabel, J. E. (2008). Location, location, location: The 3L approach to house price determination. Journal of Housing Economics, 17(2), 175–190. https://doi.org/10.1016/j.jhe.2007.12.002 Search in Google Scholar

Koenker, R., & Hallock, K. F. (2001). Quantile regression. The Journal of Economic Perspectives, 15(4), 143–156. https://doi.org/10.1257/jep.15.4.143 Search in Google Scholar

Konishi, H. (2005). Concentration of competing retail stores. Journal of Urban Economics, 58(3), 488–512. https://doi.org/10.1016/j.jue.2005.08.005 Search in Google Scholar

Kuang, C. (2017). Does quality matter in local consumption amenities? An empirical investigation with Yelp. Journal of Urban Economics, 100, 1–18. https://doi.org/10.1016/j.jue.2017.02.006 Search in Google Scholar

Lee, S., & Lin, J. (2018). Natural amenities, neighbourhood dynamics, and persistence in the spatial distribution of income. The Review of Economic Studies, 85(1), 663–694. https://doi.org/10.1093/restud/rdx018 Search in Google Scholar

Li, Y., & Liu, L. (2012). Assessing the impact of retail location on store performance: A comparison of Wal-Mart and Kmart stores in Cincinnati. Applied Geography (Sevenoaks, England), 32(2), 591–600. https://doi.org/10.1016/j.apgeog.2011.07.006 Search in Google Scholar

Lin, G., Chen, X., & Liang, Y. (2018). The location of retail stores and street centrality in Guangzhou, China. Applied Geography (Sevenoaks, England), 100, 12–20. https://doi.org/10.1016/j.apgeog.2018.08.007 Search in Google Scholar

Lu, C., Pang, M., Zhang, Y., Li, H., Lu, C., Tang, X., & Cheng, W. (2020). Mapping urban spatial structure based on POI (Point of Interest) data: A case study of the Central City of Lanzhou, China. ISPRS International Journal of Geo-Information, 9(2), 92. https://doi.org/10.3390/ijgi9020092 Search in Google Scholar

Macdonald, J. L., Dolega, L., & Singleton, A. (2022). An open source delineation and hierarchical classification of UK retail agglomerations. Scientific Data, 9(1), 1–12. https://doi.org/10.1038/s41597-022-01556-3. Search in Google Scholar

McDonald, J. F., & McMillen, D. (2011). Urban economics and real estate: Theory and policy. Blackwell Publishing Ltd., 1-560. Search in Google Scholar

Portnoy, S., & Koenker, R. (1997). The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators. Statist. Sci. 12(4): 279-300. https://doi.org/10.1214/ss/1030037960 Search in Google Scholar

Silverman, B. W. (2018). Density estimation: For statistics and data analysis. Density Estimation: For Statistics and Data Analysis, 1–175. New York. Routledge. https://doi.org/10.1201/9781315140919 Search in Google Scholar

Tang, J., Liu, Z., Wang, Y., Yang, J., & Wang, Q. (2018). Using geographic information and Point of Interest to estimate missing second-hand housing price of residential area in urban space. IEEE International Smart Cities Conference (ISC2), 1–8. https://doi.org/10.1109/ISC2.2018.8656965 Search in Google Scholar

Thrall, G. I. (2002). Business geography and new real estate market analysis. Oxford University Press, 1-274. Search in Google Scholar

Turhan, G., Akalın, M., & Zehir, C. (2013). Literature review on selection criteria of store location based on performance measures. Procedia: Social and Behavioral Sciences, 99, 391–402. https://doi.org/10.1016/j.sbspro.2013.10.507 Search in Google Scholar

van Duijn, M., & Rouwendal, J. (2012). Analysis of household location behaviour, local amenities and house prices in a sorting framework. Journal of Property Research, 29(4), 280–297. https://doi.org/10.1080/09599916.2012.717100 Search in Google Scholar

Wang, F., Chen, C., Xiu, C., & Zhang, P. (2014). Location analysis of retail stores in Changchun, China: A street centrality perspective. Cities, 41(PA), 54–63. https://doi.org/10.1016/j.cities.2014.05.005 Search in Google Scholar

Wood, S., & Browne, S. (2007). Convenience store location planning and forecasting - A practical research agenda. International Journal of Retail & Distribution Management, 35(4), 233–255. https://doi.org/10.1108/09590550710736184 Search in Google Scholar

Xiao, Y., Chen, X., Li, Q., Yu, X., Chen, J., &Guo, J. (2017). Exploring determinants of housing prices in Beijing: An enhanced hedonic regression with open access POI data. ISPRS International Journal of Geo-Information, 6(11), 358. https://doi.org/10.3390/ijgi6110358 Search in Google Scholar

eISSN:
2300-5289
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Business and Economics, Political Economics, other