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"Provides the foundations and principles needed for addressing the various challenges of developing smart cities Smart cities are emerging as a priority for research and development across the world. They open up significant opportunities in several areas, such as economic growth, health, wellness, energy efficiency, and transportation, to promote the sustainable development of cities. This book provides the basics of smart cities, and it examines the possible future trends of this technology. Smart Cities: Foundations, Principles, and Applications provides a systems science perspective in presenting the foundations and principles that span multiple disciplines for the development of smart cities. Divided into three parts - foundations, principles, and applications - Smart Cities addresses the various challenges and opportunities of creating smart cities and all that they have to offer. It also covers smart city theory modeling and simulation, and examines case studies of existing smart cities from all around the world. In addition, the book: . Addresses how to develop a smart city and how to present the state of the art and practice of them all over the world. Focuses on the foundations and principles needed for advancing the science, engineering, and technology of smart cities - including system design, system verification, real-time control and adaptation, Internet of Things, and test beds. Covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and Intelligent Transportation Systems (ITS) for improved mobility, safety, and environmental protection Smart Cities: Foundations, Principles, and Applications is a welcome reference for the many researchers and professionals working on the development of smart cities and smart city-related industries"

"This important Handbook reveals that most urban growth takes place in the less developed world and much of it represents over-urbanization."

"Dengan semakin banyaknya orang yang tinggal di daerah perkotaan, ada kebutuhan yang meningkat untuk memiliki kota yang berkelanjutan. Sharing economy muncul dalam satu dekade terakhir, membawa dampak di perkotaan dan dipromosikan sebagai cara untuk mencapai kota yang berkelanjutan. Dengan berbagi sumber daya yang tidak digunakan di kota, model ekonomi baru ini dianggap dapat menopang ekonomi, masyarakat, dan lingkungan kota. Studi sebelumnya secara normatif telah membahas hubungan antara keberlanjutan dan sharing economy secara keseluruhan. Namun, studi empiris tentang keberlanjutan yang berasal dari bentuk-bentuk tertentu dari sharing economy, khususnya space sharing, masih terbatas. Selain itu, meski studi kuantitatif yang menghubungkan beberapa bentuk ekonomi berbagi dengan keberlanjutan ada, seperti di bidang space sharing jarang ditemukan. Mengisi kekosongan dalam penelitian, penelitian ini ingin mempelajari dampak sharing economy pada keberlanjutan melalui studi kasus coliving yang memanfaatkan apartemen kosong di Jakarta. Studi ini akan mengidentifikasi secara nilai-nilai berkelanjutan yang timbul dari coliving melalui wawancara mendalam dengan penyewa dan operator. Studi ini juga akan mencoba memahami sejauh mana keberlanjutan dari coliving dianggap bernilai.

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With a growing number of people living in urban areas, there's an increasing need to have sustainable cities. The sharing economy has emerged in the past decade, making impacts in cities while being promoted as a way to achieve sustainable cities. By sharing a city's idle resources, the new economic model is deemed to sustain a city's economy, community, and environment. Past studies have normatively discussed the linkage between sustainability and the sharing economy as a whole. However, empirical studies on sustainability coming from certain forms of the sharing economy, particularly space sharing, are still limited. Moreover, while quantitative studies linking some forms of sharing economy with sustainability exist, such in the field of space sharing is also scarce. Filling the gaps in research, this study would like to study the impact of sharing economy on sustainability through the case of coliving that utilizes vacant apartments in Jakarta. This study will identify the sustainable values arising from coliving through in-depth interviews with tenants and operators. This study will also try to understand the extent to which the sustainability of coliving is valued."

"Lahan basah adalah bagian penting yang terintegrasi dengan ekosistem global yang memiliki fungsi penting dalam menjaga keseimbangan lingkungan seperti mencegah atau mengurangi dampak banjir, menampung air permukaan dan serta menyediakan habitat unik baik flora maupun fauna. Lahan basah perkotaan memberikan jasa ekosistem langsung bagi masyarakat sekaligus mendorong kelangsungan funsi ekologi kota. Upaya pengendalian ruang wilayah kota memerlukan instrumen yang mampu mengintegrasikan variabel lingkungan kompleks yang terdiri dari aspek biofisik, aspek sosial-kultur, dan aspek ekonomi. Perkembangan pemodelan dinamika spasial saat ini masih terkonsentrasi pada penggunaan driving factor biofisik, sementara kompeksitas dinamika alih fungsi lahan perkotaan tentu dipengaruhi oleh faktor pendorong selain biofisik.Riset ini bertujuan; 1) menganalisis peran dari setiap faktor yang mempengaruhi alih fungsi lahan basah perkotaan berdasarkan hasil pemanfaatan penggalian data (data mining), 2) mengkontruksikan pemanfaatan penggalian data spasial untuk pemodelan dinamika spasial, dan 3) membangun model dinamika spasial untuk memproyeksikan komposisi spasial penggunaan lahan sebagai masukan dalam evaluasi keberlanjutan lahan basah perkotaan.Metode yang dipakai adalah pemodelan dinamika spasial dengan mengintegrasikan model markov, model cellular automata, dan model driving factor yang dihasilkan dari analisis spasial multitemporal dan pemanfaatan penggalian data spasial. Riset menggunakan 17 data driving factor yang dikategorikan dalam 3 varibel yaitu biofisik, sosio kultur dan ekonomi. Riset mengadopsi 8 driving factor biofisik yang digunakan dalam riset-riset sebelumnya, semnetara itu hasil kontruksi penggalian data spasial menambahkan 9 driving factor yang mewakili variabel sosio-kultur dan variabel ekonomi. Peran dari variabel sosio-kultur dan variabel ekonomi secara mayoritas lebih besar dalam mempengaruhi dinamika spasial alih fungsi lahan basah perkotaan.Hasil riset menunjukkan bahwa keberlangsungan lahan basah perkotaan wilayah riset masih dapat terus terjaga pada seluruh skenario model dengan tren luas lahan basah yang terus menurun. Skenario optimal merupakan pilihan terbaik dengan komposisi spasial yang rasional dan menunjukkan indikator penilaian lingkungan yang memiliki resiko paling rendah untuk indikator nilai koefisien limpasan rerata sebesar 0,458 lebih rendah dibandingkan skenario BAU dengan nilai koefisien limpasan rerata sebesar 0,462. Skenario optimal ini memiliki konsekuensi terjadinya fragementasi lahan basah yang lebih tinggi pada lahan basah yang terdapat pada alokasi lahan untuk permukiman dan lahan jasa perdagangan. Number of Patch (NP) pada skenario optimal pada tahun 2016 sebesar 105 meningkat menjadi 198 pada tahun 2034, lebih tinggi dibandingkan dengan skenario BAU yang menunjukkan NP sebesar 33 pada tahun 2016 dan NP sebesar 78 pada tahun 2034.

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Wetlands are an important part that is integrated with global ecosystems that have important functions in maintaining environmental balance such as preventing or reducing the effects of flooding, storing surface water and as well as providing unique habitats for both flora and fauna. Urban wetlands provide ecosystem services directly to the community while promoting the sustainability of the city's ecological functions. Efforts to control spatial planning require instruments capable of integrating complex environmental variables consisting of biophysical aspects, socio-cultural aspects, and economic aspects. The development of spatial dynamics modeling is currently still concentrated on the use of biophysical driving factors, while the complexity of urban land use change is certainly influenced by driving factors other than biophysical aspects.

This research aims; 1) analyzing the role of each factor that influences the conversion of urban wetlands based on the results of the utilization of data mining, 2) constructing the utilization of spatial data mining for spatial dynamics modeling, and 3) building spatial dynamics models to project the spatial composition of land use as input in evaluating the sustainability of urban wetlands.

The method used is spatial dynamics modeling by integrating the Markov model, cellular automata model, and driving factor models resulting from multitemporal spatial analysis and the use of spatial data mining. The research uses 17 driving factor data which are categorized into 3 variables namely biophysical, socio-cultural and economic. The research adopted 8 biophysical driving factors used in previous research, while the results of the construction of spatial data mining added 9 driving factors representing sociocultural and economic variables. The role of socio-cultural variables and economic variables is predominantly higher in influencing spatial dynamics over the function of urban wetlands.

The results of the research show that the sustainability of urban wetlands in the research area can still be maintained in all model scenarios with a trend of decreasing area of wetlands. The optimal scenario is the best choice with a rational spatial composition and shows the environmental assessment indicators that have the lowest risk for the average runoff coefficient value of 0.458 lower than the BAU scenario with an average runoff coefficient of 0.462. This optimal scenario has the consequence of higher fragmentation of wetlands in the wetland area contained in the allocation of land for settlements and commercial areas. The number of patches (NP) in the optimal scenario in 2016 was 105 increased to 198 in 2034, higher than the BAU scenario which showed a NP of 33 in 2016 and a NP of 78 in 2034."