Gazing on the High Line: The Production and Consumption of Tourist Place
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Transcript of Gazing on the High Line: The Production and Consumption of Tourist Place
Gazing on the High Line Park The production and consumption of tourist place
Ate Poorthuis University of Kentucky
AAG | 2012-02-25
Tourist Gaze
2008
Photo by wallyg (!ickr)
2011
Photo by stuckincustoms (!ickr)
2011
2008
It is an indie park, an anti-campus, a pair of pre-ripped skinny jeans to Times Square’s creased 550s. The Times Square plaza dissipates into the sidewalk, but the High Line is a tight and narrow catwalk, a picture with a frame. – New Yorker, August 2009
The body remains, but the soul has vanished. The Highliner is representative, though, of the new Chelsea that is emerging on weekends, as visitors !ood the elevated park the restaurant is named after: touristy, overpriced, and shiny. It is not uncommon to see guidebooks and maps spread out on the nascent eatery’s outdoor tables. – New Yorker, 2011
Epidemiology
Photo by Eneas (!ickr)
Space-Time Permutation Scan Statistic (Kulldorff et al. 2005) SaTScan (satscan.org)
SUMMARY OF DATA Study period..................: 2009/1/1 to 2011/12/31 Number of locations...........: 84 Total number of cases.........: 20536 ________________________________________________________________ MOST LIKELY CLUSTER 1.Location IDs included.: 33, 32, 34, 24, 42, 23, 25, 41 Coordinates / radius..: (40.750713 N, 74.002240 W) / 0.28 km Time frame............: 2011/6/1 to 2011/7/31 Number of cases.......: 528 Expected cases........: 225.76 Observed / expected...: 2.34 Test statistic........: 148.616129 P-value...............: < 0.000000000000000010 SECONDARY CLUSTERS 2.Location IDs included.: 66, 65, 67, 57, 75, 56, 58 Coordinates / radius..: (40.742714 N, 74.008240 W) / 0.28 km Time frame............: 2009/6/1 to 2009/7/31 Number of cases.......: 879 Expected cases........: 509.87 Observed / expected...: 1.72 Test statistic........: 113.022723 P-value...............: < 0.000000000000000010
June 2011
June 2009
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Cluster 1
Cluster 2
Tourists Locals
Further Disaggregation
Multinomial Space-Time Clustering
Photo by pagedooley (!ickr)