The settlement quality study based on the physical condition of the building and the socio-economic conditions of Prenggan Village Yogyakarta DOI Creative Commons

Safa Arub Nadia,

Dewi Permatasari,

Ekky Elfira Kusumawardhani

и другие.

E3S Web of Conferences, Год журнала: 2023, Номер 468, С. 10011 - 10011

Опубликована: Янв. 1, 2023

Settlements are residential areas complete with facilities and infrastructure, both environmental public facilities. Furthermore, the quality of settlements is level or degree which describe in meeting needs their inhabitants. The data collection method used was a field terrestrial survey help GIS tools. Settlement assessment conducted by using grading on each aspect then scored, analyzed descriptive statistical analysis. identification can be done through terrestial survey. It’s takes researcher to directly do observation questionnaire.This structured interviews selected respondents. this research qualitative method. This condition Prenggan Village, according facts field. results show that (1) seen from economic characteristics (KEAE), accessibility (AK), physical building aspects (FB), sanitation (SL), environment (LH) (2) Village dominated medium-high settlements.

Язык: Английский

Short-run impact of the Ukrainian refugee crisis on the housing market in Poland DOI Creative Commons
Radosław Trojanek, Michał Głuszak

Finance research letters, Год журнала: 2022, Номер 50, С. 103236 - 103236

Опубликована: Авг. 5, 2022

This study analysed the impact of Russian aggression against Ukraine in February 2022 on rental and housing prices Warsaw Krakow, two major cities Poland. We hypothesize that tremendous urban population growth (by 15% 23% Krakow) a short period generated demand shock, which, combined with constrained availability, resulted extraordinary changes rents. Quantile hedonic indices indicated significant increase rents since beginning invasion both markets, which were affected by refugee shock. However, similar effects not observed case prices. In March April 2022, increased around 16.5% Krakow 14% Warsaw, while rose much less about 4.0% 1% Warsaw). Using Bayesian Structural Time Series models, we demonstrated this abnormal rent is random, concluded inflow Ukrainian refugees most likely caused it.

Язык: Английский

Процитировано

48
Detecting housing bubble in Poland: Investigation into two housing booms DOI
Radosław Trojanek, Michał Głuszak, Justyna Tanaś

и другие.

Habitat International, Год журнала: 2023, Номер 140, С. 102928 - 102928

Опубликована: Сен. 27, 2023

Язык: Английский

Процитировано

17
Public land leases, reforms and (in)stability of municipal revenues in Poland – The case of Poznan city DOI Creative Commons
Radosław Trojanek, Michał Głuszak, Maria Trojanek

и другие.

Cities, Год журнала: 2024, Номер 148, С. 104877 - 104877

Опубликована: Фев. 17, 2024

The stability of municipal revenues is crucial for long-term socio-economic planning at the city level. This paper presents impact changes in legal regulations mandating transformation perpetual usufruct into ownership on preferential terms. Using micro-level information transactions and plots handed over single-family housing, we determined potential losses City Poznan caused by new regulations. research uses mass appraisal models to assess fees related land value properties affected transformation, scenario analysis, Monte-Carlo simulation evaluate consequences change regulation long run. results indicate that municipalities are deprived relatively stable after reform. In Poznan, net present revenue ranged from −327.3 mln PLN −419.6 (74.6 % 92.9 reduction baseline revenues, respectively). Incorporating provisions allowing developed be converted housing less financially beneficial than holders. Additionally, it significantly manages strategic control local development within reduces resources. attempts narrow gap knowledge about role leases revenues.

Язык: Английский

Процитировано

5
Housing prices and points of interest in three Polish cities DOI Creative Commons
Radosław Cellmer, Mirosław Bełej, Radosław Trojanek

и другие.

Journal of Housing and the Built Environment, Год журнала: 2024, Номер 39(3), С. 1509 - 1540

Опубликована: Май 15, 2024

Abstract This paper shows the usefulness of open source points-of-interest (POI) data for understanding causes volatility in residential property prices. Points interest are unique locations or features cartographically mapped space and explicitly connected to various aspects human life. point number, density, primarily reflect a city’s spatial structure. They could therefore indicate higher quality life given urban zone, resulting demand housing area and, consequently, study was conducted three Polish cities: Warsaw, Poznań Olsztyn. Our research also attempted establish which POI categories constitute stimulants destimulants market. To determine significance price formation process, we used quantile regression model its version, apart from classical models. The results our show importance POIs Individual minor importance, while simultaneous presence many different definitely has positive impact on

Язык: Английский

Процитировано

4
Advancements in Spoof Attack Detection for Iris Recognition Systems: A Review DOI

Syed Zoofa Rufai,

Faisal Firdous,

Priya Pandey

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Pre and post-financial crisis convergence of metropolitan housing markets in Poland DOI
Radosław Trojanek, Michał Głuszak, Paweł Kufel

и другие.

Journal of Housing and the Built Environment, Год журнала: 2022, Номер 38(1), С. 515 - 540

Опубликована: Июнь 11, 2022

Язык: Английский

Процитировано

16
War in Ukraine, the refugee crisis, and the polish housing market DOI Creative Commons
Michał Głuszak, Radosław Trojanek

Housing Studies, Год журнала: 2024, Номер unknown, С. 1 - 22

Опубликована: Май 9, 2024

The ongoing war in Ukraine has become a global issue and caused major refugee crisis Europe. displacement of millions people from Ukraine, who entered neighbouring countries, attributed to housing demand shock host cities subsequent increases rents prices.

Язык: Английский

Процитировано

2
Warning: Some transaction prices can be detrimental to your house price index DOI Creative Commons
Robert Hill, Norbert Pfeifer, Miriam Steurer

и другие.

Review of Income and Wealth, Год журнала: 2023, Номер 70(2), С. 320 - 344

Опубликована: Июль 11, 2023

There is a broad consensus in international statistical organizations such as Eurostat and the International Monetary Fund that house price indices (HPIs) should be constructed using transaction data. We show here how data for new‐built properties can undermine timeliness of hedonic HPIs when are pre‐sold during planning or building stage, but entered into deed books only once projects completed. As consequence, new‐builds will include stale prices. investigate this issue two Polish cities (Warsaw Poznan) find existing lead by up to 2 years. This lag dramatically distort National HPIs. The also has implications flagship measure inflation Europe—the Harmonized Index Consumer Prices (HICP)—since it planned owner‐occupied housing HICP transactions HPI specifically new‐builds. disappears preliminary agreements on used instead compilation an HPI.

Язык: Английский

Процитировано

5
HOW DO DIFFERENT NOISE POLLUTION SOURCES AFFECT APARTMENT PRICES? DOI Creative Commons
Radosław Trojanek

International Journal of Strategic Property Management, Год журнала: 2023, Номер 27(6), С. 351 - 361

Опубликована: Дек. 18, 2023

The paper analysed the impact of different noise sources on residential market. This research used hedonic method in OLS, SAR and SEM models based data set containing geocoded 16,247 apartments Poznan. Strong evidence was found that is negatively linked with apartment prices. prices were most significantly influenced by railway – an increase 1 dB above 55 causes a 1.79% decrease value apartment. For other sources, aviation had significant 0.59% per dB, tram 0.32% road 0.12% decrease. influence levels not constant does assume linear relationship. noise, below 60 65 statistically insignificant. may indicate these are acceptable compensated better access to public roads or urban transport.

Язык: Английский

Процитировано

4
Discovering the determinants of house prices dynamics in Poland using Bayesian model averaging DOI Creative Commons
Radosław Trojanek, Michał Głuszak, Paweł Kufel

и другие.

Economics & Sociology, Год журнала: 2023, Номер 16(4), С. 73 - 109

Опубликована: Дек. 1, 2023

We examine the price drivers in 18 capital housing markets Poland from 2004 to 2021. Using Bayesian Model Averaging method, we discovered that some financial elements explain house changes more consistently than conventional economic and demographic variables. The dynamics of prices most cities were defined explicitly by factors – mortgage market activity, interest rate, terms conditions granting mortgages. Additionally, stock played a vital role movement selected cities. Economic (regional GDP, salaries, unemployment) (migration) significant predictors only for particular Our study closes knowledge gap on influencing home other developing nations have gone through systemic change. In case Eastern European countries, limited those linkages.

Язык: Английский

Процитировано

4