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Tracking Urban Mobility and Occupancy under Social Distancing Policy
被引:4
|
作者
:
Ju W.
论文数:
0
引用数:
0
h-index:
0
机构:
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Ju W.
[
1
]
Yavo-Ayalon S.
论文数:
0
引用数:
0
h-index:
0
机构:
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Yavo-Ayalon S.
[
1
]
Mandel I.
论文数:
0
引用数:
0
h-index:
0
机构:
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Mandel I.
[
1
]
Saldarini F.
论文数:
0
引用数:
0
h-index:
0
机构:
Cornell Tech, New York
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Saldarini F.
[
2
]
Friedman N.
论文数:
0
引用数:
0
h-index:
0
机构:
Stanford University, Stanford
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Friedman N.
[
3
]
Sibi S.
论文数:
0
引用数:
0
h-index:
0
机构:
University of California, Berkeley
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Sibi S.
[
4
]
Zamfirescu-Pereira J.D.
论文数:
0
引用数:
0
h-index:
0
机构:
Rutgers University, New Brunswick
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Zamfirescu-Pereira J.D.
[
5
]
Ortiz J.
论文数:
0
引用数:
0
h-index:
0
机构:
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
Ortiz J.
[
6
]
机构
:
[1]
Jacobs Technion-Cornell Institute, Cornell Tech, West Loop Rd, New York
[2]
Cornell Tech, New York
[3]
Stanford University, Stanford
[4]
University of California, Berkeley
[5]
Rutgers University, New Brunswick
来源
:
|
2020年
/ Association for Computing Machinery卷
/ 01期
关键词
:
COVID-19;
geographic visualization;
New York city;
social distancing;
urban mobility;
D O I
:
10.1145/3417991
中图分类号
:
学科分类号
:
摘要
:
The effectiveness of social distancing as a disease-slowing measure is dependent on the degree of compliance that individuals demonstrate to such orders. In this ongoing research, we study outdoor pedestrian activity in New York City, specifically using (a) video streams gathered from public traffic cameras (b) dashcam footage from vehicles driving through the city, and (c) mobile phone geo-location data volunteered by local citizens. This project seeks to form a multi-scale map of urban mobility and space occupancy under social distancing policy. The data collected will enable researchers to infer the activities, contexts, origins, and destinations of the people in public spaces. This information can reveal where and, in turn, why stay-at-home orders are and are not being followed. As a work in progress, it is yet too early for detailed findings on this project. However, we report here on several unanticipated factors that have already influenced the course of the project, among them: the death of George Floyd and subsequent protests, data collection challenges, changes in the weather, and the unexpected nature of the progression of COVID-19. © 2020 Owner/Author.
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