scholarly journals Analyzing Indicators Affecting Commercial Property Value in Metro Station Accessible Area Using Walking Time Consumption: Case of Xi’an, China

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhen Cao ◽  
Xingliang Liu ◽  
Bin Lei ◽  
Changjiang Liu ◽  
Lizhu Jing
Keyword(s):  
Euclidean Distance ◽  
Hedonic Price ◽  
Property Value ◽  
Decision Matrix ◽  
Metro Station ◽  
Commercial Property ◽  
Time Consumption ◽  
Spatial Autoregressive ◽  
Walking Time ◽  
Accessible Area

In studies investigating the property value enhancements along metro lines, study ranges in most cases are measured in Euclidean distance. However, city roads are not always straight, and Euclidean distance sometimes does not equal to actual distance the passenger travels from the public transport station to their home or a commercial spot. To solve this problem, this study analyzed the indicators affecting commercial property value in metro station accessible area in Xi’an, using walking time consumption in measuring the study range. Following a conceptual framework, considering empirical evidences in related studies, information in city structure, and metro distribution, the initial indicator set is built. Using hedonic price model (HPM), spatial autoregressive model (SAR), and error term (SEM), significant indicators affecting commercial property value are investigated. In this study, 14 significant indicators are determined and quantified. Threshold distance equals to 900 m is found to be appropriate in addressing the autocorrelation problem with the weighted decision matrix tool. Compared to HPM and SEM, SAR is found to perform the best in evaluating the significant indicators with the largest R2 (0.415) and the lowest Akaike Info Criterion (AIC) (−395.214). Besides, it is discovered that the value of the commercial property lies in the study range of 20 min walking time and is obviously influenced by the metro station. The results discovered in this study could provide some empirical evidences to commercial property planning in Xi’an.

scholarly journals A Priori Spatial Segmentation of Commercial Property Market using Hedonic Price Modelling

2021 ◽  
Vol 29 (2) ◽  
pp. 16-28
Author(s):  
Hamza Usman ◽  
Mohd Lizam ◽  
Burhaida Burhan
Keyword(s):  
Housing Market ◽  
Market Segmentation ◽  
A Priori ◽  
Model Fit ◽  
Hedonic Model ◽  
Hedonic Price ◽  
Property Market ◽  
Commercial Property ◽  
Spatial Segmentation ◽  
Property Price

Abstract The improvement of property price modelling accuracy using property market segmentation approaches is well documented in the housing market. However, that cannot be said of the commercial property market which is adjudged to be volatile, heterogeneous and thinly traded. This study, therefore, determines if the commercial property market in Malaysia is spatially segmented into submarkets and whether accounting for the submarkets improves the accuracy of price modelling. Using a 11,460 shop-offices transaction dataset, the commercial property submarkets are delineated by using submarket binary dummies in the market-wide model and estimating a separate hedonic model for each submarket. The former method improves the model fit and reduces error by 5.6% and 6.5% respectively. The commercial property submarkets are better delineated by estimating a separate hedonic model for each submarket as it improves the model fit by about 7% and reduces models’ error by more than 10%. This study concludes that the Malaysian commercial property market is spatially segmented into submarkets. Modelling the submarkets improves the accuracy and correctness of price modelling.

scholarly journals An Empirical Study of the Impact of Metro Station Proximity on Property Value in The Case of Nanjing, China

2014 ◽  
Vol 2 (4) ◽  
pp. 61-71
Author(s):  
Xinyue Zhang ◽  
Yanqing Jiang
Keyword(s):  
Empirical Study ◽  
Urban Areas ◽  
Positive Impact ◽  
Property Value ◽  
Price Variation ◽  
Metro Station ◽  
Empirical Results ◽  
Suburban Areas ◽  
The Impact

This paper analyzes the impact of metro station proximity on property value from both theoretical and empirical perspectives. Data on second-hand apartments within six kilometers of metro line 1 and 2 stations in Nanjing are used. Our empirical results show that metro station proximity has a positive partial effect on property value. The degree of impact diminishes with the increase of the distance. The extent of impact reaches the largest when the distance is less than five hundred meters, and is still remarkable when the distance is within two kilometers. The effect becomes insignificant when the distance is larger than two kilometers. Our empirical results also show that with the distance increasing, the extent of price variation is widened first, reaching a peak when the property is within one kilometer, and then decreases. In addition, metro station proximity in suburban areas is shown to have a higher positive impact on property value compared with metro station proximity in urban areas.

Decision making method for evaluating logistics companies based on the ordered representation of the polygonal fuzziness1

2020 ◽  
Vol 39 (3) ◽  
pp. 3151-3166
Author(s):  
Xiaoping Li ◽  
Yujie Tao ◽  
Yanhong Li
Keyword(s):  
Decision Making ◽  
Euclidean Distance ◽  
Fuzzy Numbers ◽  
Decision Matrix ◽  
Arithmetic Average ◽  
Weighted Arithmetic ◽  
Relative Closeness ◽  
Negative Ideal Solution ◽  
Arbitrary Precision ◽  
Polygonal Fuzzy Numbers

A polygonal fuzzy numbers can describe fuzzy information by means of finite ordered real numbers. It not only overcomes the complexity of traditional fuzzy number operations, but also keeps some good properties of trapezoidal fuzzy numbers, and it can approximate general fuzzy numbers with arbitrary precision. In this paper, a weighted arithmetic average operator is defined by the ordered representation and its operations of the polygonal fuzzy numbers, and a new Euclidean distance for measuring the polygonal fuzzy numbers is given. Secondly, in view of cost attribute and benefit attributes, the polygonal fuzzy decision matrix is normalized, and the weighted Euclidean distance is used to solve the positive (negative) ideal solution and the relative closeness of the decision matrix, and then a new decision method is given. Finally, the effectiveness of the proposed decision-making method is illustrated by an example of the evaluation of logistics companies by shopping websites.

Forecast-Island and Bidding A*-Euclidean Selecting Boustrophedon Coordination Algorithm for Exploration

2021 ◽  
Author(s):  
Zhifeng Yao ◽  
Fengxia Xu ◽  
Chunsong Han
Keyword(s):  
Euclidean Distance ◽  
Simulation Experiment ◽  
Target Point ◽  
Current Position ◽  
A Algorithm ◽  
Simulation Experiments ◽  
Exploration Time ◽  
Long Time ◽  
The Cost ◽  
Walking Time

Exploration algorithms based on the Boustrophedon path seldom consider the impacts of a robot turning at corners on the exploration time. This paper proposes the Forecast-Island and Bidding A*-Euclidean Selecting Boustrophedon Coordination (FIBA*ESBC) algorithm to calculate the turning time at corners in the overall exploration time and introduces a method to estimate the walking time in the Boustrophedon paths in order to determine the directions for path execution. Typically, in bidding-based exploration tasks, the cost is the Euclidean distance between the current position of the robot and the target point. When there is an obstacle between two points, the cost is set to infinity. Therefore, the selected target point is sometimes not optimal. The FIBA*ESBC algorithm is based on the exploration cost of a combination of the Euclidean distance and A* algorithm walking path, which can effectively solve this problem. Because the bidding is based on a greedy algorithm, the robot has a small unexplored island in the later exploration stage; therefore, full exploration is not possible or requires a long time with several repeated paths. The FIBA*ESBC algorithm prioritizes the exploration and estimation of hidden and existing unexplored islands. It can realize complete exploration and decrease the exploration time. Through simulation experiments conducted using Gazebo and RViz, the feasibility of the FIBA*ESBC algorithm is verified. Moreover, a simulation experiment is conducted in MATLAB for comparison with other algorithms. The analysis of the experimental data shows that the proposed algorithm has a relatively short exploration time.

Tensor Distance Based Least Square Twin Support Tensor Machine

2014 ◽  
Vol 668-669 ◽  
pp. 1170-1173 ◽  
Author(s):  
Hai Fa Shi ◽  
Xin Bin Zhao ◽  
Ling Jing
Keyword(s):  
Euclidean Distance ◽  
Structural Information ◽  
Linear Equations ◽  
Least Square ◽  
Time Consumption ◽  
Quadratic Programming Problems ◽  
Systems Of Linear Equations ◽  
Nonparallel Hyperplanes ◽  
Tensor Data ◽  
The Relationship

Nowadays, there have been many data which are represented by tensor, that how to deal with these tensor data directly remains a significant challenge. In this paper, we propose a new tensor distance (TD) based least square twin support tensor machine (called TDLS-TSTM). Unlike the traditional Euclidean distance, TD considers the relationship information of various coordinates. TDLS-TSTM works directly on tensor data and aims to find two nonparallel hyperplanes for classification based on TD which can make full of structural information of data, solves two systems of linear equations rather than two quadratic programming problems. Compared with other classifiers, our method has the advantages of higher precision and accepted time consumption. The numerical experiments show the valid and efficient of TDLS-TSTM.

The Research of Algorithm of Optimum Route Calculation in Express Traffic System Based on Time Measure

2014 ◽  
Vol 568-570 ◽  
pp. 807-811
Author(s):  
Kai Kuang Zhang ◽  
Hong Ling Meng ◽  
Ming Ting Ba
Keyword(s):  
Euclidean Distance ◽  
Road Traffic ◽  
Route Planning ◽  
Highway Traffic ◽  
Traffic Condition ◽  
Traffic System ◽  
Time Consumption ◽  
Optimum Route

The express traffic system could divide into highway traffic system and ordinary road traffic system, which have different linkage attributes and traffic attributes for segments and nodes. The time consumption space of traveling in the system is a non-Euclidean distance space. From the traffic condition of the express traffic system, the foundation data, principles and methods of NEDS algorithm are introduced. The steps and methods of optimum route planning in the express traffic system are deeply discussed. At the end, an example of optimum route planning in Henan express traffic system is given.

scholarly journals Urban Rail Transit in Bangkok: Chronological Development Review and Impact on Residential Property Value

2021 ◽  
Vol 14 (1) ◽  
pp. 284
Author(s):  
Varameth Vichiensan ◽  
Vasinee Wasuntarasook ◽  
Yoshitsugu Hayashi ◽  
Masanobu Kii ◽  
Titipakorn Prakayaphun
Keyword(s):  
Urban Development ◽  
Traffic Congestion ◽  
Historical Review ◽  
Economic Loss ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Structure ◽  
Hedonic Price ◽  
Property Value ◽  
The Impact

Bangkok suffered from the world’s worst traffic congestion in the 1990s due to rapidly increasing car ownership, reflecting the economic growth and road-dependent transport policy beginning in the 1960s. Due to its monocentric but scattered urban structure, traffic congestion is severe, causing tremendous economic loss, deteriorating air quality, and badly affecting the quality of life. A historical review reveals that the urban and transport plan and development were not efficiently coordinated, resulting in unorganized suburbanization and progressively more severe traffic congestion. It is important to reveal the impact of the transportation project on the housing market in order to incorporate the policies for transportation and urban development. To define the impact, the OLS hedonic price model and the local multiscale geographically weighted regression (MGWR) model were estimated, along with the condominium sales data. The results revealed that the impact of rail transit on a rise in property value significantly varied across the study area. It was estimated that, for the area along the major rail transit corridor in the city center, a premium of a location 100-m closer to the station would be more than 200 USD per square meter. At the same time, the value would be less than 80 USD for the area along the rail corridor in the suburb. These findings provide policy insights for future urban and railway development, including the proper coordination of rail transit development and urban development with subcenters, transit-oriented development, and improved pedestrian flow around transit stations.

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