Evidence map›Paper›PMID 37220628›Full record

ArticleLetters in spatial and resource sciences2023

Initial signs of post-covid-19 physical structures of cities in Israel.

Nataliya Rybnikova, Dani Broitman, Daniel Czamanski

Abstract read
In one paragraph

Article in Letters in spatial and resource sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nataliya RybnikovaFaculty of Architecture and Town Planning, Technion - Israel Institute of Technology, Haifa, Israel.
Dani BroitmanFaculty of Architecture and Town Planning, Technion - Israel Institute of Technology, Haifa, Israel.ORCID 0000-0003-0287-4898
Daniel CzamanskiRuppin Academic Center, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The physical structure of cities is the result of self-organization processes in which profit-maximizing developers are key players. The recent Covid-19 pandemic was a natural experiment by means of which it is possible to gain insights into shifts in the spatial structure of cities by studying developers' behavior. Behavioral changes of urbanites triggered by the quarantine and lockdown periods, such as home-based work and online shopping on scales that were unthinkable heretofore, are expected to persist. These are likely to induce changes in the demand for housing, for work, and for retail space, impacting developers' decisions. Associated changes in the land values at different locations are occurring faster than changes of the physical shape of urban landscapes. It is possible that current changes in dwelling preferences will result in significant future shifts in the locational incidence of the urban intensities. We test this hypothesis by examining changes in land values during the last two years by means of a land value model calibrated with vast Geo-referenced data of the major metropolitan area in Israel. Data concerning all real estate transactions include information about the assets and the price of the exchanges. In parallel, built densities are calculated using detailed building data. Based on these data, we estimate the changes of land values for different types of dwellings before and during the pandemic. The result allows us to highlight possible initial signs of post-Covid-19 urban structures, driven by shifting behavior of developers. Supplementary Information: The online version contains supplementary material available at 10.1007/s12076-023-00346-8.

Indexed as

COVID-19Dwelling preferencesLand valueUrban real-estateUrban structure

Identifiers

PMID37220628
PMCPMC10191074

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.