416
Views
2
CrossRef citations to date
0
Altmetric
Articles

Identification of Potential Over-Supply Zones of Urban Shopping Malls: Integration of Crowdsourced Data and Weighted Voronoi Diagram

, ORCID Icon, ORCID Icon &

References

  • S. Anderson, J. Volker, and M. Phillips, “Converse’s Breaking-Point Model Revised,” Journal of Management and Marketing Research 3 (2010) 1–10.
  • R. Becker, R. Caceres, K. Hanson, J. Loh, S. Urbanek, A. Varshavsky, and C. Volinsky, “A Tale of One City: Using Cellular Network Data for Urban Planning,” Pervasive Computing 10: 4 (2011) 18–26. doi: 10.1109/MPRV.2011.44
  • B. Boots, “Weighting Thiessen Polygons,” Economic Geography 56: 3 (1980) 248–259. doi: 10.2307/142716
  • B. Boots and R. South, “Modeling Retail Trade Areas Using Higher-order, Multiplicatively Weighted Voronoi Diagrams,” Journal of Retailing 73: 4 (1997) 519–536. doi: 10.1016/S0022-4359(97)90033-6
  • D. Brabham, “Crowdsourcing as a Model for Problem Solving: An Introduction and Cases,” Convergence: The International Journal of Research into New Media Technologies 14: 1 (2008) 75–90. doi: 10.1177/1354856507084420
  • Y. Chen and H. Weng, “Lots of Shopping Malls Have to Delay Their Opening Date in Hangzhou,” Daily Business (January 29, 2015).
  • P. Converse, “New Laws of Retail Gravitation,” The Journal of Marketing 14: 3 (1949) 379–384. doi: 10.1177/002224295001400303
  • D. Crandall and K. Snavely, “Modeling People and Places with Internet Photo Collection,” Communications of the ACM 55: 6 (2012) 52–60. doi: 10.1145/2184319.2184336
  • T. Drezner and Z. Drezner, “Finding the Optimal Solution to the Huff Based Competitive Location Model,” Computational Management Science 1: 2 (2004) 193–208. doi: 10.1007/s10287-004-0009-6
  • L. Ellram, B. LaLonde, and M. Weber, “Retail Logistics,” International Journal of Physical Distribution & Materials Management 19: 12 (1989) 29–39. doi: 10.1108/EUM0000000000348
  • E. Estellés-Arolas and F. González-Ladrón-de-Guevara, “Towards an Integrated Crowdsourcing Definition, “ Journal of Information Science 38: 2 (2012) 189–200. doi: 10.1177/0165551512437638
  • M. Goodchild, “Citizens as Sensors: The World of Volunteered Geography,” GeoJournal 69: 4 (2007) 211–221. doi: 10.1007/s10708-007-9111-y
  • M. Goodchild and J. Glennon, “Crowdsourcing Geographic Information for Disaster Response: A Research Frontier,” International Journal of Digital Earth 3: 3 (2010) 231–241. doi: 10.1080/17538941003759255
  • G. Griffin and J. Jiao, “Crowdsourcing Bicycle Volumes: Exploring the Role of Volunteered Geographic Information and Established Monitoring Methods,” URISA Journal 27: 1 (2015) 57–66.
  • C. Heipke, “Crowdsourcing Geospatial Data,” ISPRS Journal of Photogrammetry and Remote Sensing 65: 6 (2010) 550–557. doi: 10.1016/j.isprsjprs.2010.06.005
  • P. Hemmersam, N. Martin, E. Westvang, J. Aspen, and A. Morrison, “Exploring Urban Data Visualization and Public Participation in Planning,” Journal of Urban Technology 22: 4 (2015) 45–64. doi: 10.1080/10630732.2015.1073898
  • S. Huang, Q. Wu, and W. Cui, “Development Features and Types of Urban Complex in the World,” Economic Geography 33: 4 (2013) 1–8.
  • D. Huff, “Defining and Estimating a Trading Area,” The Journal of Marketing 28: 3 (1964) 34–38. doi: 10.1177/002224296402800307
  • D. Li and Y. Long, “A Crowd-sourced Data Based Analytical Framework for Urban Planning,” China City Planning Review 24: 1 (2015) 49–57.
  • Y. Li, “Three Commercial Complexes Closed in the Past Half Year in Foushan,” Southcn (May 22, 2015) <http://fs.southcn.com/content/2015-05/22/content_124806398.htm> Accessed May 19, 2017.
  • J. Lord, “Retail Saturation: Inevitable or Irrelevant?” Urban Geography 21: 4 (2000) 342–360. doi: 10.2747/0272-3638.21.4.342
  • A. Mendes and I. Themido, “Multi Outlet Retail Site Location Assessment,” International Transactions in Operational Research 11: 1 (2004) 1–18. doi: 10.1111/j.1475-3995.2004.00436.x
  • A. Okabe, B. Boots, K. Sugihara, and S. Chiu, Spatial Tessellations: Concepts and Applications of Voronoi Diagrams (Chichester: John Wiley & Sons, 2009).
  • A. Okabe and A. Suzuki, “Locational Optimization Problems Solved through Voronoi Diagrams,” European Journal of Operational Research 98: 3 (1997) 445–456. doi: 10.1016/S0377-2217(97)80001-X
  • M. O’Kelly and H. Miller, “A Synthesis of Some Market Area Delimitation Models,” Growth and Change 20: 3 (1989) 14–33. doi: 10.1111/j.1468-2257.1989.tb00493.x
  • A. Poorthuis and M. Zook, “Making Big Data Small: Strategies to Expand Urban and Geographical Research Using Social Media,” Journal of Urban Technology 24: 4 (2017) 115–135. doi: 10.1080/10630732.2017.1335153
  • C. Reddick and D. Norris, “Social Media Adoption at the American Grass Roots: Web 2.0 or 1.5?” Government Information Quarterly 30:4 (2013) 498–507. doi: 10.1016/j.giq.2013.05.011
  • W. Reilly, The Law of Retail Gravitation (New York: Knickerbocker Press, 1931).
  • M. Savage, E. Ruppert, and J. Law, “Digital Devices: Nine Theses,” Manchester/Milton Keynes: CRESC Working Paper Series 86 (December 15, 2010) <http://www.doc88.com/p-9093100015144.html> Accessed June 10, 2017.
  • X. Tang, J. Liu, X. Wang, and J. Xiong, “Electric Vehicle Charging Station Planning Based on Weighted Voronoi Diagram,” paper presented at Asia-Pacific Power and Energy Engineering Conference (Shanghai, March 2012).
  • M. Vicente and A. Novo, “An Empirical Analysis of E-participation. The Role of Social Networks and E-government over Citizens’ Online Engagement,” Government Information Quarterly 31: 3 (2014) 379–387. doi: 10.1016/j.giq.2013.12.006
  • D. Wang, W. Zhong, D. Xie, and H. Ye, “The Application of Cell Phone Signaling Data in the Assessment of Urban Built Environment: A Case Study of Baoshan District in Shanghai,” Urban Planning Forum 5 (2015) 82–90.
  • Y. Wang, W. Jiang, S. Liu, X. Ye, and T. Wang, “Evaluating Trade Areas Using Social Media Data with a Calibrated Huff Model,” ISPRS International Journal of Geo-Information 5: 7 (2016) 112. doi: 10.3390/ijgi5070112
  • Z. Wang, X. Ye, and M. Tsou, “Spatial, Temporal, and Content Analysis of Twitter for Wildfire Hazards,” Natural Hazards 83: 1 (2016) 523–540. doi: 10.1007/s11069-016-2329-6
  • X. Ye and X. Liu, “Integrating Social Network and Spatial Analyses of the Built Environment,” Environment and Planning B 45: 3 (2018) 395–399.
  • L. Zhang, “The Development Upsurge in Foushan,” Real Estate Guide 4 (2013) 87–89.
  • S. Zhang and R. Feick, “Understanding Public Opinions from Geosocial Media,” International Journal of Geo-Information 5: 6 (2016) 74. doi: 10.3390/ijgi5060074
  • Y. Zhou, “Problems Show up after the Development Upsurge of Commercial Complexes in Chengdu,” Leju Sina (April 28, 2016) <http://sc.leju.com/news/2016-04-28/09596131270469133065644.shtml> Accessed May 19, 2017.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.