Quantitative evaluation of public spaces using crowd replication

Author:

Hemminki Samuli1,Kuribayashi Keisuke2,Konomi Shin'ichi2,Nurmi Petteri1,Tarkoma Sasu1

Affiliation:

1. University of Helsinki, Helsinki, Finland

2. University of Tokyo, Tokyo, Japan

Publisher

ACM

Reference19 articles.

1. Urban Sensing Using Mobile Phone Network Data: A Survey of Research

2. Carr S. Francis M. Rivlin L. Stone M. Public Space Cambridge University Press 1993 Carr S. Francis M. Rivlin L. Stone M. Public Space Cambridge University Press 1993

3. City Of Melbourne Pedestrian Counting System http://www.pedestrian.melbourne.vic.gov.au retrieved 29th Jun 2016. City Of Melbourne Pedestrian Counting System http://www.pedestrian.melbourne.vic.gov.au retrieved 29th Jun 2016.

4. City of New York Times Square pedestrian counts | NYC Open Data https://data.cityofnewyork.us/City-Government/Times-Square-pedestrian-counts/dv6z-emb2 retrieved 29th Jun 2016. City of New York Times Square pedestrian counts | NYC Open Data https://data.cityofnewyork.us/City-Government/Times-Square-pedestrian-counts/dv6z-emb2 retrieved 29th Jun 2016.

5. Spatial Planning and Design Laboratory at the University of Tokyo http://udcx.k.u-tokyo.ac.jp/Top.html retrieved 29th Jun 2016. Spatial Planning and Design Laboratory at the University of Tokyo http://udcx.k.u-tokyo.ac.jp/Top.html retrieved 29th Jun 2016.

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1. Active Learning-Based Data Collection in Crowd Replication;Advances in Intelligent Systems and Computing;2021

2. Crowd Replication;ACM Transactions on Spatial Algorithms and Systems;2019-09-30

3. Designing a Mobile Behavior Sampling Tool for Spatial Analytics;Distributed, Ambient and Pervasive Interactions: Technologies and Contexts;2018

4. Low‐cost support for search and rescue operations using off‐the‐shelf sensor technologies;Electronics Letters;2017-07

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