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DOI: 10.4230/LIPIcs.GIScience.2023.68

Estimating the Impact of a Flood Event on Property Value and Its Diminished Effect over Time (Short Paper)

Authors: Nazia Ferdause Sodial, Oleksandr Galkin, and Aidan Slingsby

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract

With the increase in natural disasters, flood events have become more frequent and severe calling for mortgage industries to take immediate steps to mitigate the financial risk posed by floods. This study looked more closely at the underlying effects of flood disasters on historical house prices as part of a climatic stress test. The discount applied on house prices due to a flood event was achieved by leveraging a causal inference approach supported by machine learning algorithms on repeat sales property and historic flood data. While the Average Treatment Effect (ATE) was employed to estimate the effect of a flood event on house prices in an area, the Conditional Average Treatment Effect (CATE) aided in overcoming the heterogeneous nature of the data by calculating the flood effect on property prices of each postcode. LightGBM as a base estimator of the causal model worked as an advantage to capture the nonlinear relationship between the features and the outcome variable and further allowed us to interpret the contribution of each feature towards the decay of these discounts using SHAP values.

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Nazia Ferdause Sodial, Oleksandr Galkin, and Aidan Slingsby. Estimating the Impact of a Flood Event on Property Value and Its Diminished Effect over Time (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 68:1-68:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{sodial_et_al:LIPIcs.GIScience.2023.68,
  author =	{Sodial, Nazia Ferdause and Galkin, Oleksandr and Slingsby, Aidan},
  title =	{{Estimating the Impact of a Flood Event on Property Value and Its Diminished Effect over Time}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{68:1--68:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.68},
  URN =		{urn:nbn:de:0030-drops-189638},
  doi =		{10.4230/LIPIcs.GIScience.2023.68},
  annote =	{Keywords: Flood, Causal Inference, Machine Learning, Property Analytics}
}

Document

DOI: 10.4230/DagSemProc.10491.8

10491 Results of the break-out group: Visualisation

Authors: Kevin Buchin, Urska Demsar, Aidan Slingsby, and Erik P. Willems

Published in: Dagstuhl Seminar Proceedings, Volume 10491, Representation, Analysis and Visualization of Moving Objects (2011)

Abstract

In this group we decided to collect literature that we were familiar with that best illustrated how movement data in the form of trajectories can be visualised. In this report we categorise methods based on what part of the data space is shown, i.e. geographical space, temporal space or attribute space, some combination thereof or an aggregation in one or more of the space components. Methods that use computational methods for pattern recognition in combination with visual methods form a separate category. However, these categories are only what we came up with during our short discussion and are therefore not fixed, nor are they mutually exclusive (i.e. there is certain overlap of methods) and should be extended/redefined as required in a more exhaustive literature review in the future.

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Kevin Buchin, Urska Demsar, Aidan Slingsby, and Erik P. Willems. 10491 Results of the break-out group: Visualisation. In Representation, Analysis and Visualization of Moving Objects. Dagstuhl Seminar Proceedings, Volume 10491, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InProceedings{buchin_et_al:DagSemProc.10491.8,
  author =	{Buchin, Kevin and Demsar, Urska and Slingsby, Aidan and Willems, Erik P.},
  title =	{{10491 Results of the break-out group: Visualisation}},
  booktitle =	{Representation, Analysis and Visualization of Moving Objects},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10491},
  editor =	{J\"{o}rg-R\"{u}diger Sack and Bettina Speckmann and Emiel Van Loon and Robert Weibel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10491.8},
  URN =		{urn:nbn:de:0030-drops-29864},
  doi =		{10.4230/DagSemProc.10491.8},
  annote =	{Keywords: Visualisation}
}

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Estimating the Impact of a Flood Event on Property Value and Its Diminished Effect over Time (Short Paper)

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10491 Results of the break-out group: Visualisation

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