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Living and working in the same unit is part of the everyday life of low-income people who live in slum areas to overcome their economic situation. However, when they are evicted from slums and relocated to Rusunawa (vertical public rental housing), their live-work life is no longer possible. Empirically, living in Rusunawa puts many residents in fi...
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Context 1
... on the above data, this study proposes to increase existing commercial spaces by 10% (64 commercial spaces) of to 25% (160 commercial spaces). As most codes for home occupation allow up to 25% of a home to be dedicated to workspace (Khoury, 2014), this study proposes four types of housing units (Figure 9): the regular type (36 m 2 ), the live-with type (40 m 2 ), the live-near types (40-54 m 2 ) and the live-nearby types (60-70 m 2 ). The proposed composition of each category can be seen in Table 4. ...
Context 2
... on the above data, this study proposes to increase existing commercial spaces by 10% (64 commercial spaces) of to 25% (160 commercial spaces). As most codes for home occupation allow up to 25% of a home to be dedicated to workspace (Khoury, 2014), this study proposes four types of housing units (Figure 9): the regular type (36 m 2 ), the live-with type (40 m 2 ), the live-near types (40-54 m 2 ) and the live-nearby types (60-70 m 2 ). The proposed composition of each category can be seen in Table 4. ...
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This paper discusses an issue related to place attachment in the context of public housing and displacement. It takes the case studies of Rusunawa in Jakarta, a rent-based vertical public housing built by the government. The residents are predominantly low-income people who were evicted from urban slums and were relocated to Rusunawa. Although relo...
Citations
... Many researchers have engaged in academic research on mixed-use villages, and their research directions can be summarized as follows: (1) Regional growth perspective-Kong et al. proposed the concept of "working and living integration" as a driving force behind regional growth, providing empirical evidence through using productive rural settlements in the Yangtze River Delta region as examples [19]. (2) Economic development perspective-Triyuliana et al. analyzed the feedback effect of private individual's operational methods [20], such as family workshops, on rural economy and human settlement development in industrial villages. (3) Urban-Rural construction perspective-Chen et al. elucidated the current situation of mixed functions in villages [21], highlighting the synergistic effect of rural industrial development and urban-rural construction. ...
With the progression of novel urbanization, rural regions are increasingly characterized by mixed-use features, where work and living activities intersect, resulting in a significant surge in per capita carbon emissions. This research article aims to elucidate the spatio-temporal relationship of carbon emissions in rural areas and their association with mixed-use intensity from a sustainable development perspective. For the study, we selected four of the most representative mixed-use village types in the Yangtze River Delta region. Using the STING method, each rural space was delineated into micro-level mixed-use units. Subsequently, a quantitative evaluation model was constructed to gauge the relationship between mixed-use intensity and carbon emissions. This was complemented by employing GIS simulations to analyze the spatio-temporal attributes of carbon emissions in mixed-use villages. Our findings indicate that (1) different types of villages display considerable disparities in mixed-use intensity and carbon emissions. Their correlation also varies significantly, with traditional agricultural villages exhibiting the lowest values of 0.338 and 0.356, while E-commerce-centric villages recorded the highest at 0.674 and 0.653. (2) The carbon emissions of rural units manifest diverse patterns that include dispersed distribution, core aggregation, linear decay, and dissipative fragmentation. These correspond to traditional agriculture, industrial production, tourism service, and E-commerce villages, respectively. (3) The carbon emissions of mixed-use villages exhibit cyclical fluctuations over time, with different magnitudes observed across villages. Traditional agricultural villages display the smallest fluctuations (within 30%), while those centered around tourism services can experience fluctuations exceeding 150%. Building on these insights, we delved deep into the challenges faced by each village type in enhancing the quality of work and living while concurrently achieving energy conservation and emission reduction. Based on these aspects, we propose a sustainable low-carbon development pathway tailored for mixed-use villages.
... As a classical theory of urban planning, mixed-use communities in cities have two types of model. (1) Live-work housing for mixed-use buildings, street blocks, streets, and districts (Rowley, 1996;Triyuliana and Prakoso, 2020), and (2) mixed-use model covering the four dimensions of shared premise, horizontal, vertical, and time (Hoppenbrouwer and Louw, 2005;Nadim, 2016). Shared premise dimension can be interpreted as the multifunctional use at a particular point (i.e., premises in a building or dwelling used by one household). ...
... The concept of work-live units is mainly adopted in the field of urban planning (Triyuliana and Prakoso, 2020). Work-live units are designed to provide workforce housing that is convenient and innovative and allows homeowners to live and work at their place of residence (Tao et al., 2010;Zhu et al., 2012;Reuschke and Houston, 2020). ...
... As shown in Fig. 1, through statistical data and on-site investigation, the property boundary of each household is supplemented and revised according to the actual boundary occupied by residents' daily activities. Consequently, we interpret the distribution of the mixed-use vitality and carbon emissions of the three types of communities by constructing "work-live units" through the statistical information grid (STING) (Triyuliana and Prakoso, 2020). In this case, each community can be divided into a number of "work-live units" that encompass the living and production activities of local residents (Fig. 2). ...
With the progress of urbanization, rural communities in Zhejiang Province of China have demonstrated a pattern of commercial and residential combinations, which resulted in increased household carbon emissions. Hence, the realization of the sustainable development of the economy, society, and environment has become an important issue facing these mixed-use communities. We aim to explore the nexus of mixed-use vitality, carbon emission and sustainability of mixed-use communities. We adopt case study method, collect both quantitative and qualitative data, and apply the analysis tools of statistical information grid (STING) and geographic information system (GIS) to map the spatial distribution of mixed-use communities based on mixed-use vitality, carbon emissions and sustainability of the sampled communities. We find that: (1) Based on mixed-use vitality and carbon emissions, the distribution patterns of mixed-use communities can be categorized into the three types of a multicore unordered distribution, a single-core interlocking distribution, and a multicore orderly distribution, corresponding to tourism, specialised market and manufacturing communities, respectively. (2) Among the three types, the overall sustainability of tourism communities is the lowest while the manufacturing industry and specialized market communities show higher levels of sustainability. (3) Contrary to the view that high carbon emissions lead to low sustainability; we found that mixed-use vitality plays a more important role than carbon emissions in affecting overall sustainability (i.e., low carbon emissions lead to low sustainability for tourism communities; high carbon emissions lead to high sustainability for specialized market communities). (4) We have also identified a list of factors affecting the spatial distribution of mixed-use communities. Based on the results, this study provides significant insights for the development of mixed-use rural communities in China and developing countries from the perspectives of mixed-use planning for sustainability.
