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  • 标题:Temporal and spatial prediction of retailer growth
  • 本地全文:下载
  • 作者:Bertha Maya Sopha ; Fredrika Makasenda ; Anna Maria Sri Asih
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:204
  • DOI:10.1051/matecconf/201820401001
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Retailers have significantly affected good distribution and eventually transportation cost, traffic congestion, and pollution. Understanding spatial development of retailers is therefore of importance in planning logistics particularly in urban areas. The present research aims at predicting retailer growth both temporally and spatially. Both time-series forecasting using Holt’s model and spatial forecasting using ArcGIS were conducted. Results indicate that the existing retailers of Yogyakarta city have already exceeded the minimum requirement of retailers following the Indonesian National Standard, whereas other four districts have need of more retailers. Furthermore, it appears that the connectivity to the road network appears to be the important parameter in determining future location of retailers, contrasting traditional perspective of clustered location at central business area.
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