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This study aims to explore the impact of decentralized long-term rental apartments on the value of in-community housing from two perspectives of housing price and rent.

This study uses the hedonic model to identify the factors affecting the housing value, and the influence of distributed long-rented apartments on the housing value in the community is analyzed from two aspects of housing price and rent by using the ordinary least square method and propensity score matching method.

The primary finding indicates that decentralized long-term rental apartments increase housing prices while decreasing general rental housing rents in the community, with the average degree of increase ranging from 0.93% to 2.59% and the average degree of decrease ranging from 2.23% to 4.34%. According to additional research, the prices of houses within communities rise by 0.042% for every 1% increase in the share of decentralized long-term rentals, while the rents for other types of rental property fall by 0.162%.

The government can regulate the housing market by regulating the access and layout of distributed long-rent apartments.

The findings of this study indicate that the existence and share of distributed long-rent apartments have a heterogeneous impact on the housing price and rent in the community, respectively.

Trade centers are operationally run by a property manager as a delegate of the property owner. The dimensions of service quality (SERVQUAL), which include tangibles, assurance, empathy, reliability and responsiveness, are vital to be implemented as the duties of property managers when providing service to tenants to maintain tenant satisfaction and property reputation. This study aims to understand the effects of the SERVQUAL dimensions, the role of property management and the quality of rental value on tenant satisfaction and property reputation.

The sample was gathered using the purposive sampling technique with the criteria of being a tenant and kiosk owner in trade center properties in Surabaya. Data were gathered using questionnaires, from which 100 respondents were acquired. It was then analyzed using the partial least square structural equation model (SEM) in the SmartPLS 3.0 program to test the hypothesis.

The results of this study prove that the SERVQUAL dimensions – assurance, empathy and responsiveness – significantly influence tenant satisfaction with the mediating variable of the role of property management. Moreover, the SERVQUAL dimensions – empathy, reliability and responsiveness – significantly influence property reputation with the mediating variable of the role of property management.

Property managers are expected to proactively map out different service measures related to the dimension of satisfaction by conducting service training programs for their employees. In fact, in the post-pandemic period, property managers require new marketing strategies, such as leaseback, to effectively carry out renovations of the trade center’s public facilities and restructure the tenant mix.

Trade centers as trading areas experience management limitations because of the prohibition of mass gatherings during the COVID-19 pandemic, resulting in a limited number of onsite trading. Tenants who have entered into a long-term contract experience loss and rely on the aid of property management to survive. The role and quality of service of property management influence tenants’ satisfaction post-COVID-19 pandemic.

The purpose of this paper is to develop a building information modelling (BIM)-based multi-objective optimization (MOO) framework for volumetric analysis of buildings during early design stages. The objective is to optimize volumetric spaces (3D) instead of 2D spaces to enhance space utilization, thermal comfort, constructability and rental value of buildings

The integration of two fundamental concepts – BIM and MOO, forms the basis of proposed framework. In the early design phases of a project, BIM is used to generate precise building volume data. The non-sorting genetic algorithm-II, a MOO algorithm, is then used to optimize extracted volume data from 3D BIM models, considering four objectives: space utilization, thermal comfort, rental value and construction cost. The framework is implemented in context of a school of architecture building project.

The findings of case study demonstrate significant improvements resulting from MOO of building volumes. Space utilization increased by 30%, while thermal comfort improved by 20%, and construction costs were reduced by 10%. Furthermore, rental value of the case study building increased by 33%.

The proposed framework offers practical implications by enabling project teams to generate optimal building floor layouts during early design stages, thereby avoiding late costly changes during construction phase of project.

The integration of BIM and MOO in this study provides a unique approach to optimize building volumes considering multiple factors during early design stages of a project

This study is carried out to demonstrate the computational practicalities of environmental construction economics necessary to offer early-stage cost advice. A case study of a private sector client’s development proposal is used. This is for the acquisition of a vacant freehold land of 1.2 acres brownfield site to develop a Grade A office complex with plans to achieve the BREEAM Excellent rating green building certification.

A three-stage methodology was deployed: Order of cost estimating, before life cycle costing and then development appraisal. The Order of Cost Estimate is generated using the BCIS online database, following the procedural guideline of the New Rules Measurement (NRM). The life cycle costing was carried out from an environmental perspective to explore two design options – Design A and Design B, in terms of which would offer the best value for money whilst reducing carbon emissions.

Based on the outcome of the life cycle costing computations, Design B was chosen as the advised development due to minimal differences in net present values and annual equivalents. Further evaluation of Design B, using the residual method of developmental appraisal was carried out, with all necessary assumptions made. From the extensive computations carried out, the project is considered unviable, as it reports a loss. Alternative use of the site or an alternative site is thus recommended to check if a greater return on investment is tenable.

The study narratively interweaves the application of three computational techniques that are core to offering early-stage cost advice.

This study aims to examine the influence of green feature adoption on building value within Jakarta, Indonesia’s market. It assesses the presence of green premiums or brown discounts through a supply-demand analysis, evaluates their impact on building values, and identifies factors influencing green features’ value reflection and development.

This study employs a qualitative approach to investigate the green feature reflection on building value in Jakarta, Indonesia. Data is gathered through questionnaires and semi-structured interviews with appraisers, the GBCI, and developers.

The study’s findings reveal a positive acceptance of green buildings in Jakarta’s market, with most appraisers recognising a higher perceived value in these sustainable structures. Factors contributing to this higher value perception encompass green building certifications, reduced operational costs, and increased appeal to potential tenants. Conversely, hindering factors include a lack of law enforcement and limited availability of market data.

The study highlights practical considerations for construction and real estate stakeholders on the factors influencing green building development. Supporting factors for green building development include sustainability training, compliance with green building standards, and incentives. Conversely, obstacles encompass enforcement challenges, stakeholder expertise deficits, and resistance to change.

This study is the first in Indonesia, magnifying its significance and potential impact. It pioneers exploring green building features’ influence on building value in Jakarta, presenting a unique contribution to the existing literature. This originality emphasises the imperative for sustainable development in the region and sets the stage for future research and policy initiatives.

This study aims to examine whether or not residential properties closer to landfill sites have lower offer values by the developers. That is, by analyzing real estate data and landfill site locations, the study seeks to provide insights into whether properties situated closer to landfill sites tend to have a lower offer values than those located farther away.

The study is exploratory in nature, and a case study approach is applied. A landfill site named “Uruli Devachi” is selected in the region of Pune district, and data is collected from 102 developers selling residential projects within a radius of 15 km (about 9.32 mi). The gathered data is analyzed by using basic descriptive statistics, one-way ANOVA and ordinary least squares (OLS) regression. The OLS regression helps to determine whether there is a relationship between the distance of a residential property from a landfill site and its offer value.

The findings suggest that landfill sites have a detrimental impact on residential property offer values, with the negative impact increasing with proximity to a landfill site. The negative effect seems to vanish after over 10 km (about 6.21 mi). The developers provide extra facilities including a clubhouse, a children’s play area, a gym and a swimming pool in an effort to mitigate the negative effects of the landfill site on residential properties.

The findings of this study could have implications for property developers, real estate professionals and policymakers in understanding how landfill proximity might impact property offer values.

This study presents many novelties for the Indian housing market: the landfill sites do have a negative effect on the offer value of residential property; the closer the residential property to a landfill site, the higher the negative effect. Further, the developers try and mitigate the negative effect of landfill sites on residential properties by providing additional amenities such as a clubhouse, children’s play park, gym and swimming pool.

This study aims to explore the influence of external factors and the characteristics of young Indian consumers on their behavioral intention toward fashion clothing rental (FCR), using the theory of reasoned action (TRA) as a theoretical framework.

This study used quantitative research methods, collecting data from 396 Indian participants, and tested the proposed hypotheses using PLS-structural equation modeling.

The results indicated that young Indian consumers' favorable attitudes toward FCR are mainly driven by perceived usefulness, novelty-seeking, fashion orientation, narcissism and environmental consciousness. These drivers, together with subjective norms, further lead to their intention to rent fashion clothing. This study also found that perceived risk has a negative impact on consumers' attitudes toward FCR, but minimalism does not significantly affect consumer attitudes.

By integrating additional constructs into traditional TRA, this study contributes to existing literature and provides insight for fashion retailers on the role of consumer characteristics in the adoption of FCR in emerging markets.

The current literature has not investigated the perceived value of energy efficiency by households, regardless of financial benefits. Furthermore, there is a severe lack of research that investigates the effectiveness of the current format of EPC-labels. Therefore, the purpose of this paper is twofold: to study how households value energy efficiency in the housing market, regardless of price effects.

This study uses multiple hedonic regression models to analyse 706,778 Flemish properties for sale or rent between 2019 and 2023. The data is provided by Immoweb – the largest online real estate platform in Belgium. Given that the selling market is driven by different mechanisms than the rental market, the data set was divided in sold (522,164 listings) and rented properties (184,614 listings).

The ambiguous results of the A-label in the selling market indicate that the “class evaluation effect” found in related markets which use labels (e.g. household appliances) is also present in the housing market. However, the results of the other (lower) labels clearly show that owners do value energy improvements within labels, and this effect becomes stronger as the EPC-label becomes better. The rental market shows the opposite results. Energy improvements are only valued if they translate into a financial benefit. Taking these findings into account, the second part of this research shows that rescaling the EPC-label creates an incentive for improvements within labels.

This paper provides novel insights by studying the perceived value of energy efficiency in the absence of financial benefits and critically studying the effectiveness of the EPC-labels in their current shape. By investigating both the sales and rental market, the authors are able to make a comparison which creates valuable insights for academia, governments and real estate professionals.

With the growing market for luxury fashion rental, we aim to examine how renting luxury fashion is related to consumers' construction of the material self, based on material self-framework. We propose that consumers adopt luxury fashion rentals to construct and manage the personal and social aspects of the material self and that their belief in brand essence facilitates the mechanism.

A total of 296 responses of US female participants collected from Cloudresearch were analyzed to test the relationships between constructs in the proposed model.

The results, using structural equation modeling analysis, supported the expected relationships. Specifically, whereas the social material self directly increased adoption intention, the personal material self indirectly increased such intention via the belief that rented luxury items preserve brand essence.

Our findings advance the literature by showing how the self is constructed and managed in collaborative luxury fashion consumption, from self-identity perspective. The current research reveals the important roles of two aspects of material self that respectively contribute to consumers' adoption of luxury fashion rentals.

This study empirically tests the material self theory in the context of luxury fashion rental and demonstrates the processes of how consumers regard a luxury fashion rental as a tool to construct their identity. This study not only validates the two-structure model of material self (social and personal), but also incorporate the role of brand essence in revealing how the two facets of material self differently facilitate luxury fashion rental adoption.

To identify the risks associated by consumers with renting clothes.

A descriptive research with a quantitative approach was carried out. First, the measurement models of the variables involved in the proposed model were validated. After verifying the existence of the variables, the resulting model was finally estimated through structural equation modelling.

The results obtained establish the six dimensions that make up the problems associated by consumers with the clothing rental business model. These problems encompass various types of risks: financial, physical, performance, psychosocial, inconsistency with values and lifestyle, as well as lack of trust in the service provider. The results obtained show that only inconsistency, financial risk and physical risk have a significant effect on attitude. These performance risks, together with the consumer's attitude towards renting, have a negative effect on the intention to rent.

Factors that have a negative effect on attitude have been studied less than the facilitators of attitude. This is the first study in Spain.

The results will help managers to understand the adoption behaviours of these models.

This study helps understand the social innovation needed to change consumers' relationship to clothing.