3.1. Questionnaire Survey
This paper investigated almost all prefabricated public housing projects in Beijing via questionnaire and field investigation. The respondents were drawn from a list of the developers provided by the Beijing Public Housing Office. The questionnaire was implemented on behalf of the Beijing Public Housing Office to ensure the timeliness and effectiveness of the study.
The questionnaire design followed the principles of quantitative and qualitative research. The questionnaire consists of two parts. The first part seeks basic information related to the respondents and projects, including the respondents’ position, experience, prefabrication rate (PR), assembly rate (AR), schedule, area, and types of prefabricated projects. Prefabricated housing can be characterised mainly by standardisation and integration. PR and AR are the main indicators showing the level of prefabricated housing.
The second part concerns the detailed performance of projects, such as the construction costs, environmental performance, and barriers. According to the analytical framework, we configured indexes as follows: (1) management and performance and (2) policy assessment (
Figure 2). The first part is based on the Standard for Assessment of Industrialised Building (GB/T 51129-2015). This national standard is suitable for assessing the industrialised level of residential buildings. The standard can be used to assess prefabricated buildings in a comprehensive way and identify their main features. The second part is based on a literature review and field investigation.
3.1.1. Management and Performance
To analyse whether prefabricated housing is more efficient than traditional housing, management and performance factors are important. Therefore, cost and environmental performance are taken as management and performance indexes to identify the benefits of prefabricated housing relative to traditional housing.
In accordance with the analysis framework, in this questionnaire, we focus on environmental performance regarding energy consumption, water usage, construction waste, steel and concrete usage, and dust and noise pollution when considering the construction process. The questionnaire aims to find the changing rates of cost and environmental performances by comparing prefabricated housing with traditional housing.
3.1.2. Policy Assessment and Barriers
The development of prefabricated housing can also be influenced by policies. Therefore, we considered stimulation policies and barriers to determine whether these policies are useful and how many key factors might hinder prefabricated public housing development. There are six common incentive methods, i.e., construction area rewards, lending priority, enterprise income tax reduction or exemption, subsidy for special funds, and payment of land-transfer fees by instalment and green passage.
There are some barriers and challenges during the development such as slow project progress, high cost, poor quality, unreasonable design, and insufficient technology levels. Zhang et al. (2014) compared the direct costs of a concrete wall panel between prefabricated housing and traditional housing, and found that the direct cost of prefabricated housing is larger than that of traditional housing, although prefabricated housing can reduce more labour costs [
20]. Even in the USA, Arditi et al. (2000) found that a precast concrete system did not achieve cost savings but believed that it would be more economical with the improvement of expertise and communication [
21]. Some factors can influence prefabricated housing development; these factors may include high initial costs, high labour input, inflexible design [
11], lack of skilled workers, incomplete supply chain, imperfect standards [
22], consumers’ opinion and market demand [
23]. Cao et al. [
24] found four major factors that restricted the application and popularity of the skeleton and infill (SI) system housing in China, including costs and benefits, technology and management, industrial chain and enterprise capacity. Jiang et al. [
25] extracted four factors: industry chain, cost, social climate and attitudes, and risk. Steinhardt et al. (2014) analysed the challenges from the perspective of suppliers, intermediaries, users, policy environment and technology [
26]. In addition to the aforementioned barriers, more barriers have been identified by researchers (
Table 1).
According to the literature review and field research, we identified 10 obstacles to prefabricated public housing, and each question represents one factor hindering the adoption of prefabricated housing (
Table 2). The influence of barriers to prefabricated public housing can be evaluated by a five-point Likert scale, in which 5 represents “strongly hinders” and 1 represents “negligibly hinders”.
3.2. Cost-Benefit Analysis
CBA has been widely used in decision-making processes [
37] and in environmental assessments [
38,
39,
40]. Generally, costs encompass all funds and the actual material consumption of projects, including direct costs and external indirect costs. Benefits involve the contributions of the projects to the national economy, resource conservation, and environmental protection, among other components, including direct benefits and indirect benefits. This analysis method has been used in urban renewal projects [
41,
42], green buildings [
43,
44] and low-cost housing [
45]. However, the method has seldom been applied to prefabricated housing. Hong et al. [
36] established a CBA framework to find the cost composition and analyse the costs of real prefabricated projects. Previous studies have assessed the comprehensive benefits, including advantages for the economy, environment and society [
46,
47], but these indexes indicated only the benefit level of prefabricated housing. The interactions between the costs and benefits have not been exploited. To analyse whether prefabricated housing merits investment and is environmentally friendly, this paper focuses on environmental benefits, and the benefits considered are related mainly to environmental performance.
CBA is based on incremental costs and benefits, and a suitable CBA in this context compares prefabricated buildings with traditional buildings [
43]. Simply put, prefabricated housing is a worthwhile investment if the total benefits are greater than the incremental costs, which is expressed mathematically as follows:
where BPB denotes the benefits of prefabricated buildings, BTB denotes the benefits of traditional buildings, CTB denotes the costs of traditional buildings, and CPB denotes the costs of prefabricated buildings.
The benefit-to-cost ratio (
B/
C) of the investment can also be used to describe the projects:
If the
B/
C ratio is equal to or greater than one, then the investment in prefabricated housing is considered acceptable. If the ratio is less than one, then the investment is not acceptable [
48].
The two methods mentioned above are based on absolute indexes, which can be used to compare two similar projects. However, to analyse other types of projects, the absolute indexes cannot reflect an average condition because different projects may have significant differences and gaps. Therefore, relative indexes are used to compare the costs and benefits to analyse whether the investment is worthwhile regardless of significant differences or gaps. The paper considers the rate of change to compare the efficiency of the projects. In the questionnaire, we compared the increasing/decreasing rate of the cost and environmental performance of prefabricated housing with those of traditional housing using the expression
where ∆
B = (BPB − BTB)/BTB and ∆
C = (CPB − CTB)/CTB.
If the ∆B/∆C ratio is equal to or greater than one, then the investment in prefabricated housing is efficient because a lower cost increase can offer more benefit improvement, relatively speaking. If the ratio is less than one, then the investment is not efficient.
Because the model has been established, the components of costs and benefits need to be identified and should be realistic. The traditional approach based on costs often lacks other aspects of benefit evaluation models that are not always considered, such as environment, labour and quality [
45]. To define the ∆
B/∆
C ratio, the hypothetical costs and benefits should be determined in accordance with the performance of the same work scope for site-built processes. The costs encompass all costs of construction. The benefits focus on environmental performance, including the decrease in energy consumption, the conservation of water, the decrease in construction waste, the attrition rate of steel and concrete, and the decrease in dust and noise pollution.
To quantify these benefits in the same dimension, the benefits should be related to the costs, at which point the former can be added together and analysed relative to the latter. In this analysis, energy consumption cost, water fee, waste disposal fee, steel and concrete cost, and dust and noise control fee are considered in the comparison of prefabricated buildings and traditional buildings.
(1) Energy consumption
In the construction site and prefabrication factory, energy consumption includes electricity usage and diesel and gasoline machinery, among which electricity usage is the largest part of energy consumption. According to this investigation, the Beijing construction budget quota [
49] and other case studies, the electricity fee accounts for approximately 0.4% of the total construction cost. Diesel and gasoline machinery consumes only 9.52% of the energy [
50]. Therefore, diesel and gasoline machinery accounts for 10.52% of the electricity, and we assume that the energy consumption fee for machinery accounts for 0.44% of the total cost.
(2) Water usage
Water is a major component of construction resources. In the construction period, water is used for concrete production and curing and site cleaning, among other uses. According to this investigation, the Beijing construction budget quota and other case studies, the water fee accounts for approximately 0.3% of the total cost.
(3) Construction waste
A large amount of construction waste is present on site, particularly in the case of traditional building sites. Depending on building type, there are different proportions and types of construction wastes [
51], such as bricks, concrete, steel, timber, and mortar. According to this investigation, the Beijing construction budget quota and other case studies, the waste disposal fee accounts for approximately 0.2% of the total cost.
(4) Steel and concrete
Steel and concrete are primary construction materials, particularly for reinforced concrete buildings. Across China, 1.5 billion tons of concrete is consumed per year, and construction steel accounts for 25% of all material consumption. Each square metre of a building requires approximately 55 kg of steel, which is 10–25% more than the average rate for developed countries [
52]. Therefore, it is worthwhile calculating the attrition rate of steel and concrete so that we can analyse how much material can be saved. According to this investigation, the Beijing construction budget quota and other case studies, the costs of steel and concrete account for 25% and 20% of the total cost, respectively.
(5) Dust and noise
The construction process causes pollution, including dust and noise, which has a particularly bad effect in urbanised territories [
53]. Dust and noise must be monitored on site so that they can be controlled; however, they cannot be totally eliminated. According to Huang [
54], 32.1% of dust in cities is construction dust. Researchers previously monitored dust emissions in Beijing and found that most dust was emitted during major structure, secondary structure and decoration stages [
55]. Currently, dust is controlled by wet methods (e.g., water) and equipment (e.g., air cleaners and exhaust hoods) [
56]. During constructions, noise lasts the longest during the major structure stage, and it has the largest impact on the surroundings during this stage [
57]. Noise control is always more cost effective to implement at the design stage than at the construction stage [
58]. Mitigation strategies include source control (e.g., technical specifications and contract clauses), path control (e.g., physical barriers) and receptor control (e.g., humans and equipment) [
59]. These methods can be used on either traditional building sites or prefabricated building sites, and the cost of water and equipment can be classified into the water fee and the energy consumption cost. In this paper, dust and noise are not quantified but are discussed qualitatively.
The paper compares the costs of the projects that have increasing rates using four categories of benefits: (1) the energy consumption decrease rate, (2) water savings rate, (3) waste decrease rate, and (4) attrition rate of steel and concrete. If the comprehensive benefits of environmental impacts are higher than the costs, then prefabricated public housing is a suitable investment.
Assuming that the energy consumption fee, water fee, waste disposal fee and cost of steel and concrete account for
fi (
i = 1,2,3,4) of the total cost, respectively, then these percentages are normalised as weights of the benefits:
where
wi is the weight of the cost for category
i, and
fi is the percentage of the cost attributed to category
i.
Then, the environmental benefits can be added together:
where
Ri is the changing rate of category
i.
The ∆
B/∆
C ratio can then be defined as: