The Spatial Estimation of Expected Accident Frequency of Rural Divided Four-Lane Highways in Order to Exposure Variables and Cmf (Case Study: Main Roads Network of Hamedan Province) DOI

Amir Reza Bakhshi,

Hasan Khaksar, Seyed Ahmad Almasi

et al.

SSRN Electronic Journal, Journal Year: 2022, Volume and Issue: unknown

Published: Jan. 1, 2022

The Highway Safety Manual (HSM) of America presents the usual methodologies for identifying accidental points and accident patterns states America, each state, uses these models generalization HSM, considering jurisdictions in calibration coefficient. But it should be noted that since has spatial specification is inclined to dependence (a phenomenon known as correlation), HSM coefficients are not strong enough consider specifications data model. Moreover, order examine effective factors happening Rural Divided Multilane Highways with Empirical Bayes method, does heterogeneity Thus, overcome limitations, this study a systematic methodology based on Geographically Weighted Negative Binomial Regression (GWNBR) Multi-scale (MGWR) approach (EBS). Considering strict advice using AADT L values, firstly, performs principal correlation SPF diversity vehicles different locations (dv-SPF), secondly, identifies expected frequency (RDMH) site past conditions (NExpected-RDMH-P) combination exposure variables dv-SPF estimated. Thirdly, estimates after treatment future (NExpected- RDMH –F) amended CMF deducted from standards EBS approach. results used estimate pattern Improvement Program (HSIPML) recommended under title (HSIP).

Language: Английский

Effects of landscape pattern change on ecosystem services and its interactions in karst cities: A case study of Guiyang City in China DOI Creative Commons
Shujun Liu, Zhijie Wang,

Wu Wu

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 145, P. 109646 - 109646

Published: Nov. 9, 2022

Exploring the effects of landscape pattern changes on ecosystem services (ESs) and its interactions could provide a new method to reduce trade-offs between ESs from perspective optimization, thus contributing sustainable management ESs. In this study, Guiyang City which is typical karst mountainous city in China was used as study region, using InVEST model, Spearman's correlation Multiscale Geographically Weighted Regression (MGWR) assessed four key types (i.e., carbon storage (CS), habitat quality (HQ), soil conservation (SC), water yield (WY)) 1995 2019, analyzed impacts synergies The results showed that steadily increased during 1995–2019, with CS, HQ, SC, WY, total (TES) by 6.67%, 7.66%, 27.16%, 13.08%, 11.81%, respectively. relationship CS-SC SC-WY were mainly trade-offs, while other synergies. Moreover, interaction static reversed dynamic spatiotemporal when lower have obvious spatial scale heterogeneity. Landscape composition had greater impact than configuration. Proportion woodland (Wood_per) Shannon's Diversity Index (SHDI) main factors influencing effect TES. practical references for improvement-oriented planning service similar fragile ecological regions, helpful improvement high-quality development.

Language: Английский

Citations

50
Pre and post-financial crisis convergence of metropolitan housing markets in Poland DOI
Radosław Trojanek, Michał Głuszak, Paweł Kufel

et al.

Journal of Housing and the Built Environment, Journal Year: 2022, Volume and Issue: 38(1), P. 515 - 540

Published: June 11, 2022

Language: Английский

Citations

16
Exploring the Influences of Point-of-Interest on Traffic Crashes during Weekdays and Weekends via Multi-Scale Geographically Weighted Regression DOI Creative Commons

Xinyu Qu,

Xinyan Zhu, Xiongwu Xiao

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2021, Volume and Issue: 10(11), P. 791 - 791

Published: Nov. 19, 2021

Some studies on the impact of traditional land use factors traffic crashes do not take into account limitations spatial heterogeneity and scale. To overcome these this study presents a systematic method based multi-scale geographically weighted regression (MGWR), which considers scale differences different influencing factors, to explore influence reclassified points-of-interest (POI) occurring weekdays weekends. Experiments were conducted 442 communities in Hankou, Wuhan, performance proposed was compared against methods ordinary least squares (OLS), lag model (SLM), error (SEM), (GWR). The experiments show that yielded best fitness models more accurate results local coefficient estimates. highlights are as follows: There predictor variables. Residential POI, scenic transportation POI have global effect crashes. Commercial service industrial affects at regional scale, while public estimates from residential little During weekdays, entire area leads While weekends, has significant positive only some communities. for vary periods. may increase risk communities, can be observed Exploring periods is helpful management strategies reducing

Language: Английский

Citations

21
Multi-Scale Geographically Weighted Elasticity Regression Model to Explore the Elastic Effects of the Built Environment on Ride-Hailing Ridership DOI Open Access
Zhenbao Wang,

Xin Gong,

Yuchen Zhang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 4966 - 4966

Published: March 10, 2023

Understanding the relationship between built environment and ride-hailing ridership is crucial to prediction of demand for formulation strategy upgrading environment. However, existing studies on ignore scale effect zone modifiable area unit problem (MAUP), show a lack consideration elastic with spatial heterogeneity variables ridership. Taking Chengdu as an example, this paper selects 12 independent based “5Ds” (density, diversity, design, destination accessibility distance transit) environment, dependent are density pick-ups in morning evening peak hours, 11 units proposed according different scales zoning methods aggregation pick-ups. With goal global optimal goodness-of-fit, we determined by using log-linear Ordinary Least-Squares (OLS) model. A multi-scale geographically weighted regression (MGWER) model formulated explore relative heterogeneity. The average value positive local coefficient used measure impact factors, absolute negative factors. results that: (1) MGWER under community division has best goodness-of-fit. (2) Different have impacts ride-hailing. For hours top three factors ranked follows: commercial POI > house price population density, CBD highest pick-up (3) elasticity coefficients at stations discussed, which indicate method can provide basis scheduling management greater conducive targeted urban renewal strategies process adjusting

Language: Английский

Citations

7
A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw DOI
Mateusz Tomal, Marco Helbich

Environment and Planning B Urban Analytics and City Science, Journal Year: 2022, Volume and Issue: 50(3), P. 579 - 599

Published: Aug. 26, 2022

A hedonic approach is typically performed to identify housing rental or sales price determinants. However, standard regression models disregard spatial autocorrelation of prices and heterogeneity preferences across space over segments. We developed a autoregressive geographically weighted quantile (GWQR-SAR) address these shortcomings. Using data on the determinants residential in Warsaw (Poland) Amsterdam (The Netherlands) as case studies, we applied GWQR-SAR rigorously compared its performance with alternative mean regressions. The results revealed that outperforms other terms fitting accuracy. Compared regressions, performs better, especially at tails dependent variable distribution, where non-quantile overestimate low rent values underestimate high ones. Policy recommendations for development private markets are provided based our results, which incorporate effects segment requirements.

Language: Английский

Citations

11
Exploring Housing Determinants of Obesity Prevalence Using Multiscale Geographically Weighted Regression in Chicago, Illinois DOI
Aynaz Lotfata, Mateusz Tomal

The Professional Geographer, Journal Year: 2022, Volume and Issue: 75(3), P. 335 - 344

Published: Oct. 11, 2022

Language: Английский

Citations

9
Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals DOI Creative Commons
Mateusz Tomal

Empirical Economics, Journal Year: 2021, Volume and Issue: 62(4), P. 2023 - 2055

Published: June 6, 2021

The aim of this paper is to test for overall and cluster convergence housing rents across Polish provincial capitals identify drivers club formation. In order achieve the goal study, several novel tests were used, including Kong et al. (J Econom 209:185-207, 2019. https://doi.org/10.1016/j.jeconom.2018.12.022) Phillips Sul (Econometrica 75:1771-1855, 2007. https://doi.org/10.1111/j.1468-0262.2007.00811.x) approaches. Moreover, analysis was carried out in four different configurations, varying technique trend component extraction from data. particular, three well-known methods time series decomposition i.e. Hodrick-Prescott, Butterworth Christiano-Fitzgerald filters, as well most recent boosted Hodrick-Prescott filter. results indicated that rental prices studied cities do not share a common path long run. It possible, however, clubs where are moving towards club-specific steady state. Detailed structure estimated clusters showed data filtering using method leads reliable allocation clubs. estimation logit models revealed likelihood any two belonging same depends mainly on similar levels terms unemployment rate, stock, city area, number students. Finally, recommendations local national policy-makers concerning development market have been formulated, particularly areas urban land-use planning policy, legislation public-private partnerships.

Language: Английский

Citations

12
A többskálás földrajzilag súlyozott regresszió alkalmazása a településszintű vállalati felszámolások hazai vizsgálatához, 2019 DOI Open Access
Norbert Ágoston

Területi Statisztika, Journal Year: 2024, Volume and Issue: 64(02), P. 125 - 149

Published: Jan. 1, 2024

felülmúlta a másik két módszert.A felszámolásra ható gazdasági tényezők közül munkanélküliségi ráta globális hatása, valamint az egy főre jutó jövedelem helyi hatása figyelhető

Citations

1
MACROECONOMIC VARIABLES INFLUENCING HOUSING PRICES IN VILNIUS DOI Creative Commons
Alfredas Laurinavičius, Antanas Laurinavičius, Algimantas Laurinavičius

et al.

International Journal of Strategic Property Management, Journal Year: 2021, Volume and Issue: 26(1), P. 24 - 34

Published: Dec. 2, 2021

The way macroeconomic variables such as unemployment/GDP per capita/inflation/wages/internal migration influenced housing prices (nominal house and rent prices) in Vilnius 2006–2019 has been investigated the research. Conditions under which different could influence were established Lower unemployment, higher GDP capita inflation rate all related to nominal Vilnius. Higher capita, wages internal positively Analyzed together explained 88 percent of variance over period 80 same period.

Language: Английский

Citations

9
Quality information gaps in housing listings: Do words mean the same as pictures? DOI Creative Commons
Michał Hebdzyński

Journal of Housing and the Built Environment, Journal Year: 2023, Volume and Issue: 38(4), P. 2399 - 2425

Published: June 20, 2023

Abstract The incomplete or defective information on the listed housing quality may impair market clearing processes, lead to adverse selection and would have its reflection in data needed perform analyses. To pinpoint existing gaps, this paper inspects quality-related disclosure strategies of agents who list apartments for sale rent online listing platforms. first part empirical study compares direct declarations with indirectly signaled via photos attached listings shows that there extists a discrepancy between them. Combined high share observations, which full is not being disclosed it contributes existence informations gaps. second answers, whether indirect textual signals (descriptions apartments), processed use Wordscores—a supervised machine learning algorithm are consistent visual signals. It has been documented, sales listings’ agreed 63–90% cases, depending model’s variant. For rental market, descriptive matched ones 71–83% cases. Moreover, shown among consistency higher posted by landlords, while listings—by brokers. Finally, be argued fill gaps one utilize often-unused conveyed quality-signalling channel.

Language: Английский

Citations

3