Investigating Social Factors of Residential Satisfaction and the Impact on Housing Price in Spontaneous Settlements in Tehran Fringe

Ahmadi, Reyhaneh; Ghahremani, Sheida; Kivi, Sepideh Beshrati; Bayat, Fatemeh; Zareh, Nafiseh; Rohani, Amirreza; Hamidi, Rashin; Hamidi, Negin; Ghamisi, Kaveh; Janianpour, Parisa

doi:10.4236/oalib.1109176

Cited by 7 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several convolutional kernels were used in the convolutional layer, which was optimized by a back-propagation algorithm. The input for the next layer is the output of the convolutional layer [50][51][52][53]. In general, six convolutional layers were used to detect soil erosional features (Table 2).…”

Section: Definition Of Cnn Methods For Detecting Soil Erosional Featuresmentioning

confidence: 99%

Harnessing the Power of Remote Sensing and Unmanned Aerial Vehicles: A Comparative Analysis for Soil Loss Estimation on the Loess Plateau

Kariminejad,

Kazemi Garajeh,

Hosseinalizadeh

et al. 2023

Drones

View full text Add to dashboard Cite

This study explored the innovative use of multiple remote sensing satellites and unmanned aerial vehicles to calculate soil losses in the Loess Plateau of Iran. This finding emphasized the importance of using advanced technologies to develop accurate and efficient soil erosion assessment techniques. Accordingly, this study developed an approach to compare sinkholes and gully heads in hilly regions on the Loess Plateau of northeast Iran using convolutional neural network (CNN or ConvNet). This method involved coupling data from UAV, Sentinel-2, and SPOT-6 satellite data. The soil erosion computed using UAV data showed AUC values of 0.9247 and 0.9189 for the gully head and the sinkhole, respectively. The use of SPOT-6 data in gully head and sinkhole computations showed AUC values of 0.9105 and 0.9123, respectively. The AUC values were 0.8978 and 0.9001 for the gully head and the sinkhole using Sentinel-2, respectively. Comparison of the results from the calculated UAV, SPOT-6, and Sentinel-2 data showed that the UAV had the highest accuracy for calculating sinkhole and gully head soil features, although Sentinel-2 and SPOT-6 showed good results. Overall, the combination of multiple remote sensing satellites and UAVs offers improved accuracy, timeliness, cost effectiveness, accessibility, and long-term monitoring capabilities, making it a powerful approach for calculating soil loss in the Loess Plateau of Iran.

show abstract

Section: Definition Of Cnn Methods For Detecting Soil Erosional Featuresmentioning

confidence: 99%

Harnessing the Power of Remote Sensing and Unmanned Aerial Vehicles: A Comparative Analysis for Soil Loss Estimation on the Loess Plateau

Kariminejad,

Kazemi Garajeh,

Hosseinalizadeh

et al. 2023

Drones

View full text Add to dashboard Cite

show abstract

“…Ecology mainly includes Q9 space green viewing rate and Q10 space sunshine ventilation conditions. Pleasure mainly includes Q11 humanities education fun and Q12 neighborhood communication activities ( 26 , 27 ).…”

Section: Methodsmentioning

confidence: 99%

Optimal utilization of ecological economic resources and low-carbon economic analysis from the perspective of Public Health

Wang

Feng

2023

Front. Public Health

View full text Add to dashboard Cite

IntroductionChina's urbanization process continues to deepen with social development, but the optimal utilization of ecological, economic resources and Public Health (PH) problems are becoming increasingly severe.MethodsThis paper analyses the optimal use of urban resources based on PH. Here, the public space of urban settlements is selected as the research object. Firstly, the connotation and essence of the ecological economy and Low-Carbon Economy (LCE) are analyzed. Secondly, the characteristics of public space in urban settlements are studied based on PH. The public space satisfaction evaluation model in urban settlements is constructed with five first-level and 12 second-level indicators. Finally, a questionnaire is designed to analyze urban households' outdoor activities and evaluate public space in settlements.ResultsThe influencing factors of residents' satisfaction with public space in settlements are obtained through regression analysis. The results show that residents' satisfaction with the public space of the settlement is mainly evaluated from three aspects: the accessibility of public space, the integrity of public space, and the pleasure of public space. The influence coefficients are 0.355, 0.346, and 0.223, respectively, indicating that the influence degree of the three principal factors decreases in turn.ConclusionWe can optimize the utilization of urban residential public space resources from the aspects of accessibility, integrity and pleasure, so as to promote residents to go to public spaces for outdoor activities and physical exercise, which is more conducive to the public health of residents.

show abstract

Urban dynamics in parand new city, iran: A decadal analysis of expansion, temperature variations, and air quality

Doostvandi,

Mastalizadeh,

Mastalizadeh

et al. 2024

GeoJournal

View full text Add to dashboard Cite

Investigating Social Factors of Residential Satisfaction and the Impact on Housing Price in Spontaneous Settlements in Tehran Fringe

Cited by 7 publications

References 0 publications

Harnessing the Power of Remote Sensing and Unmanned Aerial Vehicles: A Comparative Analysis for Soil Loss Estimation on the Loess Plateau

Harnessing the Power of Remote Sensing and Unmanned Aerial Vehicles: A Comparative Analysis for Soil Loss Estimation on the Loess Plateau

Optimal utilization of ecological economic resources and low-carbon economic analysis from the perspective of Public Health

Urban dynamics in parand new city, iran: A decadal analysis of expansion, temperature variations, and air quality

Contact Info

Product

Resources

About