No abstract

Keterbatasan lahan di Surabaya membuat kawasan Pantai Timur Surabaya (Pamurbaya) dilirik oleh pihak pengembang permukiman swasta. Namun, RTRW Kota Surabaya 2014 menetapkan kawasan Pamurbaya sebagai kawasan lindung/konservasi dengan zona ruang terbuka hijau. Dari seluruh kawasan konservasi Pamurbaya 92,66% masih berstatus kepemilikan perorangan. Sehingga terjadi kerawanan pelanggaran pada kawasan konservasi Pamurbaya. Dari perhitungan GIS faktual lapangan 2017, sudah terjadi pelanggaran sebesar 0,5% dari seluruh kawasan konservasi Pamurbaya. Selain itu kerawanan ini di perkuat dengan kondisi tutupan lahan saat ini, dari seluruh kawasan konservasi seluas 2.503,9 Ha, didominasi tutupan lahan tambak seluas 2080,40 Ha. Sehingga dalam penelitian ini bertujuan untuk mengidentifakasi potensi pelanggaran pada kawasan konservasi Pamurbaya berdasarkan model spasial prediksi tren perkembangan lahan tahun 2034. Hasil penelitiannya adalah faktor yang dominan mempengaruhi perkembangan lahan di Pamurbaya adalah faktor adanya jaringan jalan lingkar luar timur Surabaya dan kedekatan dengan permukiman yang sudah ada. Pola perkembangan lahan eksisting di kawasan Pamurbaya selama 2011-2017 didominasi dengan pertumbuhan permukiman sebesar 602,35 Ha, dan tambak tumbuh sebesar 222,45 Ha. Kemudian berdasarkan prediksi tren perkembangan lahan Pamurbaya tahun 2034 dengan Cellular Automata, diprediksi permukiman akan tumbuh sebesar 62% dari luas saat ini, industri akan tumbuh sebesar 7%, perdagangan jasa akan tumbuh 15%. Juga diprediksi tambak akan berkurang 29% dari luas saat ini. Indetifikasi potensi pelanggaran kawasan konservasi Pamurbaya menghasilkan pada tahun 2029 kawasan konnservasi diprediksi akan terjadi pelanggaran 8,74% dan tahun 2034 akan terlanggar 24,02%.

The phenomenon of urbanization has led to an increase in residential land and other economic activities that resulted in the conversion of undeveloped land into developed and settled lands. Thus, it has an impact on limited water absorption, and eventually, a flood occurs when extreme rainfall happens. The Kedurus watershed is a flood-prone area where floods consistently occur with a depth of up to 1 m. However, the Kedurus watershed is an area that has a vital function in the economic development of the city of Surabaya. From the previous research, three instruments were declared effective in reducing flooding. By using the positivistic approach, the purpose of this study is a spatial planning concept for flood reduction in the Kedurus River Basin. The results will be presented as spatial modeling of the flood with the existing conditions resulting in a flood inundation area of 228.88 ha. The stages of the formulation of the spatial planning concept for flood reduction resulted in several proposals, namely, the allocation of green open space for all the land assets of the Surabaya City government and the provision of a maximum requirement of 60% development for space allocation on existing nondeveloped land.

The station development through transit oriented development principles in favor to transit patronage has emphasized the important of design, diversity and density. However, studies were lacking in identification of the level of combination of all these ingredients toward increasing ridership. Using the node-place balance perspective, the design, diversity and density are re-evaluated. Four transit terminals or stations are used as case study in the City of Surabaya. Each of the transit area is divided into several zones/subzones to evaluate the level of density, diversity and design into the value of node and place index. Each transit points would be regarded as having one among the five categories of node-place index. The level of the daily trip demand is identified as the target variable. Qualitative comparative analysis then is used to mapping the position of each station, suggested the level of combination of design, diversity and density in each node-place category, to explore which combinations that are found to be statistically significant to support the increases of trip demand. The research showed that employment density may has more impact than housing density, while node aspect maybe of more important compare to place aspect that explain high or low trip demand.