Makassar is considered a metropolitan city with about 1.469.601 residents. Therefore, there is a need to upgrade quality, especially the basic needs. The desire to make the city world-class should be a motivating factor towards quality improvement. Walkability Index (WI) is used as an indicator for implementing sustainable development of infrastructure in the era of industrial revolution 4.0. This is the reason why the study about the walkability index of Real Estate housing in Makassar was important to be conducted. To be a livable city, Makassar needs to have pedestrian infrastructure bolstering the mobility of its citizens. This study, therefore, was meant to determine the extent of Real Estate housing in Makassar as supported by pedestrian pathways and Walkability Index. Both Quantitative and qualitative methods with spatial analysis and Walkability Index were used. The result showed that only 9 (3%) out of 272 housing had pedestrians while 97 % had no pedestrian. From 9 housing, 5 were considered very good housing, 2 quite good, and 2 worst. The walkability Index had an average score of 54.55, indicating it was good for pedestrians.
Perkembangan perumahan yang diselenggarakan oleh pengembang mengalami perkembangan yang pesat di beberapa Kota. Perumahan baru biasanya memberikan batasan fisik berupa pagar atau tembok di sekeliling lingkungan perumahannya dan terdiri dari satu akses keluar masuk perumahan tersebut. Perumahan dengan bentuk fisik seperti itu disebut 'Gated Community. Pertumbuhan tersebut dapat memicu munculnya fregmentasi kota baik secara fisik maupun non fisik perkotaan, karena sifat enclave yang dimiliki perumahan-perumahan tersebut. Penelitian ini bertujuan untuk
As a developing country, Indonesia has a tolerant society. Nonetheless, demands are currently rising for exclusive real estate models which are bounded from the vicinity by ring-fenced or portals. Understanding the socio-economic conflict is essential for developing urban housing at the gated community. This research is focused on the gate community housing in Makassar, which represents the condition of cities in Indonesia. The study combines both quantitative-qualitative analysis and spatial analysis. The data collection was obtained by observation and interviewing the neighborhood community. The data analysis uses triangulate combinations, which are essential performance analysis (IPA), Participatory Rural Appraisal (PRA), and the system information of geography analysis. The results show from 272 real estates in the city of Makassar there are 85.7percent of the gate communities in the city of Makassar which all show vulnerability to socio-economic conflicts. Although, the level of exclusivity increases, the socio-economic interactions tied between gate community residents and non-residents prevent social conflict from emerging.
Recently, both the Makassar city government and its residents have encountered difficulties in anticipating and managing street vendors, due largely to unclear policies regarding location regulation. Meanwhile, the proliferation of street vendors has led to the occupation of unplanned trading areas, resulting in increased traffic congestion and a decline in the quality of the urban environment. The presence of street vendors should ideally contribute to the city's mosaic, shaping the city's image and serving the community's needs, including tourists. This article attempts to address the pressing issues surrounding the creation of a productive and liveable city. The purpose of this study is to develop a model for suitably locating street vendors in Makassar. This article identifies various supportive and inhibiting parameters and subsequently develops them into rules for spatial analysis. These parameters were gathered through interviews with traders, community members, and government officials, and the data was structured using expert choice techniques. Each weighted parameter was used to assess the grid-based land surface using the ArcGIS program. The article proposes a model for suitably locating street vendors, which can be applied to cities similar to Makassar. As a result of spatial data input to the model, potential locations in three districts were identified, falling into three categories. In general, Category 1 comprises 114 grids of the high suitability potential locations that nearly meet all the principles of suitable street vendor workplaces, among 1164 grid locations. Category 2 represents suitable potential locations, and Category 3 denotes low suitability potential locations.
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