Automatic Detection and Spatio-temporal Analysis of Commercial Accumulations Using Digital Yellow Page Data
In this study, the locations and areas of commercial
accumulations were detected by using digital yellow page data. An
original buffering method that can accurately create polygons of
commercial accumulations is proposed in this paper.; by using this
method, distribution of commercial accumulations can be easily
created and monitored over a wide area. The locations, areas, and
time-series changes of commercial accumulations in the South Kanto
region can be monitored by integrating polygons of commercial
accumulations with the time-series data of digital yellow page data.
The circumstances of commercial accumulations were shown to vary
according to areas, that is, highly- urbanized regions such as the city
center of Tokyo and prefectural capitals, suburban areas near large
cities, and suburban and rural areas.
[1] T. Ato, K. Omura, T. Arata, and S. Hujii, "The stagnation of commercial
accumulation districts in front of the stations in the suburbs of the Tokyo
metropolitan area: A study of Honatsugi and Odawara," City planning
review. Special issue, Papers on city planning, vol. 41(3), 2006,
pp.1037-1042.
[2] Y. Akiyama, T. Shibuki, and R. Shibasaki, "Development of three
dimensional monitoring dataset for tenants variations in broad urban area
by spatio-temporal integrating digital house maps and yellow page data,"
IET International Conference on Intelligent Environments 08, 2008,
CD-ROM, Paper No. 0066.
[3] Y. Akiyama, and R. Shibasaki, "Development of detailed spatio-temporal
urban data through the integration of digital maps and yellow page data
and feasibility study as complementary data for existing statistical
information," 11th International Conference on Computers in Urban
Planning and Urban Management, CD-ROM, 2009, Session8.2-2.
[4] E. Sheppard, H. Leitner, R. B. Mcmaster, and H. Tian, "GIS-based
measures of environmental equity: Exploring their sensitivity and
significance," Journal of Exposure Analysis and Environmental
Epidemiology, vol9, 1999, pp.18-28.
[5] J. Konishi, T. Tamura, M. Nishime, and S. Kakumoto, "Extracting
uninhabited area for regional analysis," Papers and proceedings of the
Geographic Information Systems Association, vol.13, 2004, pp.435-438
[6] K. Takami, and Y. Sadahiro, "Change of the distribution of retail stores in
retail clusters", Papers and proceedings of the Geographic Information
Systems Association , vol9, 2000, pp.211-214.
[7] Y. Akiyama, H. Sengoku, and R. Shibasaki, "Development of time-series
dataset of shops and offices through the integration of digital map and
yellow page data and analysis of present state," The 30th Asian
Conference on Remote Sensing, CD-ROM, 2009, PS3-25.
[1] T. Ato, K. Omura, T. Arata, and S. Hujii, "The stagnation of commercial
accumulation districts in front of the stations in the suburbs of the Tokyo
metropolitan area: A study of Honatsugi and Odawara," City planning
review. Special issue, Papers on city planning, vol. 41(3), 2006,
pp.1037-1042.
[2] Y. Akiyama, T. Shibuki, and R. Shibasaki, "Development of three
dimensional monitoring dataset for tenants variations in broad urban area
by spatio-temporal integrating digital house maps and yellow page data,"
IET International Conference on Intelligent Environments 08, 2008,
CD-ROM, Paper No. 0066.
[3] Y. Akiyama, and R. Shibasaki, "Development of detailed spatio-temporal
urban data through the integration of digital maps and yellow page data
and feasibility study as complementary data for existing statistical
information," 11th International Conference on Computers in Urban
Planning and Urban Management, CD-ROM, 2009, Session8.2-2.
[4] E. Sheppard, H. Leitner, R. B. Mcmaster, and H. Tian, "GIS-based
measures of environmental equity: Exploring their sensitivity and
significance," Journal of Exposure Analysis and Environmental
Epidemiology, vol9, 1999, pp.18-28.
[5] J. Konishi, T. Tamura, M. Nishime, and S. Kakumoto, "Extracting
uninhabited area for regional analysis," Papers and proceedings of the
Geographic Information Systems Association, vol.13, 2004, pp.435-438
[6] K. Takami, and Y. Sadahiro, "Change of the distribution of retail stores in
retail clusters", Papers and proceedings of the Geographic Information
Systems Association , vol9, 2000, pp.211-214.
[7] Y. Akiyama, H. Sengoku, and R. Shibasaki, "Development of time-series
dataset of shops and offices through the integration of digital map and
yellow page data and analysis of present state," The 30th Asian
Conference on Remote Sensing, CD-ROM, 2009, PS3-25.
@article{"International Journal of Earth, Energy and Environmental Sciences:54750", author = "Yuki. Akiyama and Hiroaki. Sengoku and Ryosuke. Shibasaki", title = "Automatic Detection and Spatio-temporal Analysis of Commercial Accumulations Using Digital Yellow Page Data", abstract = "In this study, the locations and areas of commercial
accumulations were detected by using digital yellow page data. An
original buffering method that can accurately create polygons of
commercial accumulations is proposed in this paper.; by using this
method, distribution of commercial accumulations can be easily
created and monitored over a wide area. The locations, areas, and
time-series changes of commercial accumulations in the South Kanto
region can be monitored by integrating polygons of commercial
accumulations with the time-series data of digital yellow page data.
The circumstances of commercial accumulations were shown to vary
according to areas, that is, highly- urbanized regions such as the city
center of Tokyo and prefectural capitals, suburban areas near large
cities, and suburban and rural areas.", keywords = "Commercial accumulations, Spatio-temporal analysis,Urban monitoring, Yellow page data", volume = "4", number = "6", pages = "218-6", }