Residential Land Values in the Washington, DC Metro Area: New Insights from Big Data

2016 ◽  
Author(s):  
Morris A. Davis ◽  
Stephen D. Oliner ◽  
Edward Pinto ◽  
Sankar Bokka
Keyword(s):  
Big Data ◽  
Land Values ◽  
Washington Dc ◽  
Residential Land ◽  
Metro Area

Residential land values in the Washington, DC metro area: New insights from big data

2017 ◽  
Vol 66 ◽  
pp. 224-246 ◽  
Author(s):  
Morris A. Davis ◽  
Stephen D. Oliner ◽  
Edward J. Pinto ◽  
Sankar Bokka
Keyword(s):  
Big Data ◽  
Land Values ◽  
Washington Dc ◽  
Residential Land ◽  
Metro Area

scholarly journals Urban Structure in Troubled Times: The Evolution of Principal and Secondary Core/Periphery Gaps through the Prism of Residential Land Values

2021 ◽  
Vol 13 (10) ◽  
pp. 5722
Author(s):  
Erez Buda ◽  
Dani Broitman ◽  
Daniel Czamanski
Keyword(s):  
Urban Areas ◽  
Hedonic Model ◽  
Land Values ◽  
Test Case ◽  
Urban Structure ◽  
Residential Real Estate ◽  
Residential Land ◽  
Ideal Candidate ◽  
Modern Cities ◽  
Spatial Level

The structure of modern cities is characterized by the uneven spatial distribution of people and activities. Contrary to economic theory, it is neither evenly distributed nor entirely monocentric. The observed reality is the result of various feedbacks in the context of the interactions of attraction and repulsion. Heretofore, there is no agreement concerning the means to measuring the dimensions of these interactions, nor the framework for explaining them. We propose a simple model and an associated method for testing the interactions using residential land values. We claim that land values reflect the attractiveness of each location, including its observable and unobservable characteristics. We extract land values from prices of residences by applying a dedicated hedonic model to extensive residential real estate transaction data at a detailed spatial level. The resulting land values reflect the attractiveness of each urban location and are an ideal candidate to measure the degree of centrality or peripherality of each location. Moreover, assessment of land values over time indicates ongoing centralization and peripheralization processes. Using the urban structure of a small and highly urbanized country as a test case, this paper illustrates how the dynamics of the gap between central and peripheral urban areas can be assessed.

scholarly journals Little Bites of Big Data for Public Policy by Donald F. Kettl

2018 ◽  
Vol 4 (3) ◽  
pp. 350
Author(s):  
Junghack Kim
Keyword(s):  
Public Policy ◽  
Big Data ◽  
Washington Dc

Kettl, D. F. (2018). Little Bites of Big Data for Public Policy. Washington, DC: CQ Press. $26.00 (paperback), ISBN: 9781506383521

Presidential inauguration tourism and hotel occupancy: Evidence from the Obama and Trump inaugurals

2020 ◽  
pp. 135481662095682
Author(s):  
Clay Collins ◽  
Joshua C Hall
Keyword(s):  
Fixed Effects ◽  
Barack Obama ◽  
Washington Dc ◽  
Donald Trump ◽  
Metro Area ◽  
March On Washington ◽  
Occupancy Rates ◽  
The Impact

This article examines the impact of the inaugurations of Barack Obama and Donald Trump on hotel occupancy in the Washington DC metro area. Using daily hotel data from 2010 to 2020 and controlling for multiple other major events along with day, week, and year fixed effects, we find substantial effects of presidential inaugurations on hotel occupancy. Daily occupancy rates around the inaugurations are four to six times higher than the next largest event in our sample. We also find evidence that inaugurations are multiple-day tourist events, with hotel occupancy rates seeing positive leads and lags. We find little difference in overall hotel occupancy impacts between the Obama and the Trump inaugurations, although the pattern differs due to the differences when in the week they occurred. Unfortunately, our results cannot separate the effect of the Women’s March on Washington from the Trump inauguration.

Reports on the 2013 AAAI Fall Symposium Series

AI Magazine ◽  
2014 ◽  
Vol 35 (2) ◽  
pp. 69-74
Author(s):  
Gully Burns ◽  
Yolanda Gil ◽  
Yan Liu ◽  
Natalia Villanueva-Rosales ◽  
Sebastian Risi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Social Networks ◽  
Big Data ◽  
Computational Social Science ◽  
Social Contagion ◽  
Washington Dc ◽  
Web Analytics ◽  
Symbolic Representations ◽  
Symposium Series

The Association for the Advancement of Artificial Intelligence was pleased to present the 2013 Fall Symposium Series, held Friday through Sunday, November 15–17, at the Westin Arlington Gateway in Arlington, Virginia near Washington DC USA. The titles of the five symposia were as follows: Discovery Informatics: AI Takes a Science-Centered View on Big Data (FS-13-01); How Should Intelligence be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or — ? (FS-13-02); Integrated Cognition (FS-13-03); Semantics for Big Data (FS-13-04); and Social Networks and Social Contagion: Web Analytics and Computational Social Science (FS-13-05). The highlights of each symposium are presented in this report.

The Effects of Floodplain Development Controls on Residential Land Values

1990 ◽  
Vol 66 (3) ◽  
pp. 259 ◽  
Author(s):  
James M. Holway ◽  
Raymond J. Burby
Keyword(s):  
Land Values ◽  
Residential Land ◽  
Floodplain Development

Forest proximity and residential land values

2013 ◽  
Vol 19 (1) ◽  
pp. 78-86 ◽  
Author(s):  
Vijaya R. Sharma
Keyword(s):  
Land Values ◽  
Residential Land
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