DG-ABC

Urban land change phenomena include spatial and a-spatial dynamics. As Holland (1995) suggests “a city's coherence is somehow imposed on a perpetual flux of people and structure.” However, it seems that most of the traditional economic and geographic studies have tried to separate the two entities associated with land use change (human decision-making and its spatial consequences), into two separate models (Sethuram et al., 2008). In order to explore the two fluxes (the spatial and a-spatial dynamics) this chapter presents an integrated model that incorporates ABM (Agent Base Model), CA (Cellular Automaton) and a Genetic Algorithm (GA) to include both spatial and a-spatial dynamics in an urban system in order to supply a new solution for urban studies. In the authors' model (DG-ABC stands for ‘Developing Genetic-Agent Based Cells'), the social economic behaviours of heterogeneous agents (resident, property developer and government) will be regulated by GA and the Theory of Planned Behaviour (TpB). With a pilot study conducted in order to test and calibrate the model this chapter analyzes how the macro level of the spatial pattern change (the emergence phenomena) is produced from the interactions of actors at the micro level (by the heterogeneous behaviours and interactions between agents, and the discrete spatial dynamics represented by CA). The simulation demonstrates that the integrated model can provide reasonable representations of the future evolution of cities.

PEMODELAN BERBASIS AGEN (ABM) UNTUK PENGELOLAAN AKTIVITAS MIGRASI MUSIMAN NELAYAN ANDON CUMI-CUMI DI PULAU SALURA

Perikanan cumi-cumi di Pulau Salura dibentuk oleh adanya agen nelayan andon, penduduk lokal, serta sumberdaya cumi-cumi. Kehadiran nelayan andon yang melakukan migrasi musiman dari Tanjung Luar di Pulau Lombok sampai ke Pulau Salura dengan aktivitas penangkapan cumi-cumi menjadikan sistem perikanan cumi-cumi ini menjadi berbeda dengan daerah lain. Intensitas migrasi dari nelayan andon yang tinggi berpengaruh terhadap perilaku penduduk lokal, serta kelimpahan sumberdaya cumi-cumi yang ada. Tujuan dari penelitian ini adalah mengkaji model pengelolaan aktivitas migrasi musiman dengan pengaturan alat tangkap yang dibawa. Metode yang digunakan adalah dengan pemodelan berbasis agen (ABM/Agent Base Model) melalui perangkat lunak Netlogo 6.2. Hasil penelitian menunjukkan bahwa pengaturan jumlah unit kapal yang terlibat dalam enangkapan cumi-cumi dalam waktu satu tahun harus diatur. Terdapat sembilan periode migrasi musiman yang dilakukan,sehingga model pengaturan jumlah unit kapal yang optimal untuk dapat menjaga kelimpahan cumi-cumi dan jumlah panenan nelayan adalah sebanyak 18 unit kapal setiap tahunnya. Populasi kelimpahan cumi-cumi yang dihasilkan sebesar 330 kuintal dengan masa regenerasi 42 hari, dan menghasilkan jumlah panenan sebesar 913 kuintal. (Agent Base Model For Seasonal Migration Activity of Squid Andon Fishers at Salura Island)Squid fishery system at Salura Island maked by multiple agent, as andon fishers, local peoples and squid resources. The presence of andon fishers who seasonally migrate from Tanjung Luar of Lombok Island to Salura Island with squid fishing activities makes the squid fishery system is to be different from other regions. The intensity of the migration of high andon fishers affected the behavior of the local population, as well as squid abundance of resources available. The purpose of this study was to manage the number of ships or fishing gear.The method is agent-based modeling (ABM / Agent Base Model) by used Netlogo 6.2 software. The results showed that the behavior of the agent can be analyzed from behaviors and activities. Setting the number of ships involved in catching squid in a year should be set. There are nine periods of seasonal migration is done, so that the optimal number of ships to be able to maintain the abundance of squid and the number of fishers are harvesting as many as 18 ships annually. The abundance of squid produced by 330 quintal with 42-day period of regeneration, and the squid harvest is 913 quintal.

DG-ABC

Urban land change phenomena include spatial and a-spatial dynamics. As Holland (1995) suggests “a city's coherence is somehow imposed on a perpetual flux of people and structure.” However, it seems that most of the traditional economic and geographic studies have tried to separate the two entities associated with land use change (human decision-making and its spatial consequences), into two separate models (Sethuram et al., 2008). In order to explore the two fluxes (the spatial and a-spatial dynamics) this chapter presents an integrated model that incorporates ABM (Agent Base Model), CA (Cellular Automaton) and a Genetic Algorithm (GA) to include both spatial and a-spatial dynamics in an urban system in order to supply a new solution for urban studies. In the authors' model (DG-ABC stands for ‘Developing Genetic-Agent Based Cells'), the social economic behaviours of heterogeneous agents (resident, property developer and government) will be regulated by GA and the Theory of Planned Behaviour (TpB). With a pilot study conducted in order to test and calibrate the model this chapter analyzes how the macro level of the spatial pattern change (the emergence phenomena) is produced from the interactions of actors at the micro level (by the heterogeneous behaviours and interactions between agents, and the discrete spatial dynamics represented by CA). The simulation demonstrates that the integrated model can provide reasonable representations of the future evolution of cities.