Analysis of the Effect of Location, Design, Housing Facilities, Environmental Characteristics and Developer Brands on Land Value of Housing Properties in Medan Sunggal

This study was conducted to examine the effect of location, design, housing facilities, environmental characteristics, and developer brand on the land value of housing properties in Medan Sunggal. The population in this study were all houses in the Imperial Mansion Housing Complex and the Habitat Housing Complex with a total of 250 housing units that had been inhabited and the sample was 72 housing units. The data analysis technique used is multiple linear regression analysis. The results showed that location, facilities, environmental characteristics, and developer's brand had a positive and significant effect on the market value of land, and design variables had no significant effect on the market value of land considering that these parameters had a significant effect, then the development of locations, facilities, and environmental characteristics should also contribute to the brand developer.

Reply to Discussion on ‘Borehole temperature log from the Glasgow Geothermal Energy Research Field Site: a record of past changes to ground surface temperature caused by urban development’ by Watson and Westaway 2020 (SJG, 56, 134–152, 2020).

Watson and Westaway (2020) (WW) quantified subsurface temperature variations caused by anthropogenic climate change and urban/industrial development in Glasgow, using temperature data from the Glasgow Geothermal Energy Research Field Site (GGERFS) well GGC-01 (at site G-10; Fig. 1), noting implications for the thermal physics of this site. Monaghan, Manning and Shipton (2021) (MMS) have queried points, noted in passing by WW, on other aspects: the GGERFS purpose, location, design, heat resource, and cost.

In-app advertising: a two-step qualitative comparative analysis to explain clicking behavior

Purpose Individuals only click on a very small fraction of the in-app advertisements (ads) they are exposed to. Despite this fact, organizations spend generously placing in-app ads without theoretical knowledge of how the structure and the semantics of in-app ads influence individuals’ clicking behavior. This study aims to identify how the processing of structural and semantic factors leads to clicking behavior. Design/methodology/approach Based on the limited capacity theory, this paper proposes that the sequential processing of structural and semantic factors leads to clicking behavior. To mirror the sequential process, this paper applies a process-oriented configurational approach and performs a two-step qualitative comparative analysis (QCA) using 262 incidents of exposure to in-app ads. Findings The results support the proposed sequential processing and show that neither structural nor semantic factors alone lead to clicking behavior. This paper reveals four different paths of sequential processing of in-app ads that lead to clicking behavior. The results show that individuals click on non-animated in-app ads even though these are perceived as irritating or privacy-concerning. When the in-app ads are animated, individuals do only click on them when these are not irritating, privacy-concerning and personalized. Research limitations/implications Organizations can use these findings to improve their in-app ads and generate more clicks. This study recommends that organizations place in-app ads in a prominent location, design them similar to the design of the app and use bright colors. The advertising message needs to have new and relevant information in a credible and entertaining way. Depending on the degree of personalization, organizations should use different sizes of the in-app ad and only use animation if it is unlikely that the in-app ad caused irritation or privacy concerns. Practical implications Organizations can use these findings to improve their in-app ads and generate more clicks. This paper recommends that organizations place in-app ads in a prominent location, design them similar to the design of the app and with bright colors. The advertising message needs to have new and relevant information in a credible and entertaining way. Depending on the degree of personalization, organizations should use different sizes of the in-app ad and only use animation if it is unlikely that the in-app ad caused irritation or privacy concerns. Originality/value From the in-app ad perspective, this study is the first to theoretically develop and empirically show the sequential processing of structural and semantic factors of in-app ads. From the methodological perspective, this study applies an advanced configurational two-step QCA approach, which is capable of analyzing sequential processes and is new to marketing research.

Decision Support System for Home Selection in South Tangerang City Using TOPSIS Method

The desire to have a dream house makes people consider of the criteria of the house they will be lived. Many developers offer a variety of house alternatives ranging from price, location, design, building area and land area. Customers are pleased to choose their dream house as their desired. Based on that situation, this research is conduct to create a web-bases application for home selection that consider the useful criteria to help consumers choose a decent home by using the Technique for Order of Preference by Similarity To Ideal Solution (TOPSIS) method. The TOPSIS method has the concept that the best alternative has the shortest distance from a positive ideal solution and also has the farthest distance from a negative ideal solution. This TOPSIS method is applied to provide recommendations on the choice of home decisions in the South Tangerang area based on predetermined criteria. The results obtained in the TOPSIS calculation are the housing recommendations that are closest to the value of the calculation result.

3D Visualization of Railway Development Using GIS and BIM Techniques

Along with the proposal of the Belt and Road initiative, the Eurasian railway lines with China and Russia as the center are entering a new era of strategic coordination. Thus, carrying out digital location design with modern mapping information technology has become a necessary means for improving railway locating efficiency and quality. Employing the GIS-based large 3D strip terrain modeling approach and its application, the present study takes consideration in factors such as slope, relief, geological disasters, and locating-influencing surface features so as to construct the most economically efficient routes and form the optimal GIS-based plans and decisions. Specific railway lines undergo BIM locating design with an integrated use of Civil 3D and Infraworks360 software. Line modeling and earthwork calculation are conducted in the Civil 3D-based terrain curvature. Moreover, line model is imported into Infraworks360 to achieve a 3D roaming demonstration. A 3D visualized implementation of railway location design is made possible using GIS+BIM approach that improves locating efficiency and design quality.