TY - GEN
T1 - Understanding the interdependency of land use and mobility for urban planning
AU - Jayarajah, Kasthuri
AU - Tan, Andrew
AU - Misra, Archan
N1 - Publisher Copyright:
Copyright © 2018 ACM ISBN 978-1-4503-5966-5/18/10$15.00.
PY - 2018/10/8
Y1 - 2018/10/8
N2 - Urban planners and economists alike have strong interest in understanding the inter-dependency of land use and people flow. The two-pronged problem entails systematic modeling and understanding of how land use impacts crowd flow to an area and in turn, how the influx of people to an area (or lack thereof) can influence the viability of business entities in that area. With cities becoming increasingly sensor-rich, for example, digitized payments for public transportation and constant trajectory tracking of buses and taxis, understanding and modelling crowd flows at the city scale, as well as, at finer granularity such as at the neighborhood level, has now become possible. Integrating such understanding with heterogeneous data such as land use profiles, demographics, and social media, enables richer studies on land use and its interdependence on mobility. In this work, we share findings from our preliminary efforts and identify key lines of research inquiry that can help urban planners towards data-driven policy decisions.
AB - Urban planners and economists alike have strong interest in understanding the inter-dependency of land use and people flow. The two-pronged problem entails systematic modeling and understanding of how land use impacts crowd flow to an area and in turn, how the influx of people to an area (or lack thereof) can influence the viability of business entities in that area. With cities becoming increasingly sensor-rich, for example, digitized payments for public transportation and constant trajectory tracking of buses and taxis, understanding and modelling crowd flows at the city scale, as well as, at finer granularity such as at the neighborhood level, has now become possible. Integrating such understanding with heterogeneous data such as land use profiles, demographics, and social media, enables richer studies on land use and its interdependence on mobility. In this work, we share findings from our preliminary efforts and identify key lines of research inquiry that can help urban planners towards data-driven policy decisions.
KW - Clustering
KW - Land use
KW - Prediction
KW - Urban computing
KW - Urban mobility
UR - http://www.scopus.com/inward/record.url?scp=85058309701&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058309701&partnerID=8YFLogxK
U2 - 10.1145/3267305.3274163
DO - 10.1145/3267305.3274163
M3 - Conference contribution
AN - SCOPUS:85058309701
T3 - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
SP - 1079
EP - 1087
BT - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery, Inc
T2 - 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
Y2 - 8 October 2018 through 12 October 2018
ER -