Name
Abstract | ||
|---|---|---|
New streams of data are being generated by a range of in-situ instrumentation, mobile sensing, and social media that can be integrated and analyzed to better understand urban activity and mobility patterns. While several studies have focused on understanding flows of people throughout a city, these data can also be used to create a more spatially and temporally granular picture of local population, and to forecast localized population given some exogenous environmental or physical conditions. Effectively modeling population dynamics at high spatial and temporal resolutions would have significant implications for city operations and policy, strategic long-term planning processes, emergency response and management, and public health. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compenvurbsys.2017.01.011 | Computers, Environment and Urban Systems |
Keywords | Field | DocType |
Urban studies,Human dynamics,Population,Community,Wi-Fi,Census | Population,Urban studies,Demographic analysis,Simulation,Geolocation,Human dynamics,Occupancy,Geography,American Community Survey,Census,Cartography | Journal |
Volume | ISSN | Citations |
64 | 0198-9715 | 7 |
PageRank | References | Authors |
0.58 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Constantine E. Kontokosta | 1 | 25 | 6.81 |
| Nicholas Johnson | 2 | 10 | 2.32 |