{"results":[{"id":"ss_1354e7f9151b54c86e35163dcafff72fdd80a1e9","title":"Urban design , transport , and health 1 City planning and population health : a global challenge","authors":[{"name":"B. Giles-Corti"},{"name":"A. Vernez-Moudon"},{"name":"R. Reis"},{"name":"G. Turrell"},{"name":"A. Dannenberg"},{"name":"H. Badland"},{"name":"S. Foster"},{"name":"M. Lowe"},{"name":"J. Sallis"},{"name":"Mark Stevenson"},{"name":"N. Owen"}],"abstract":"","source":"Semantic Scholar","year":2016,"language":"en","subjects":null,"url":"https://www.semanticscholar.org/paper/1354e7f9151b54c86e35163dcafff72fdd80a1e9","is_open_access":true,"citations":1065,"published_at":"","score":90},{"id":"ss_119bfa6eb62afeecd663ef7e238751a3c09116a3","title":"Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainability","authors":[{"name":"S. Bibri"},{"name":"J. Krogstie"},{"name":"Mattias Kärrholm"}],"abstract":"Compact city planning and development has, over the last 30 years or so, been the hegemonic response to the challenges of sustainable development. Global and local policies promote the compact city model due to the positive outcomes of its design principles and strategics as to achieving sustainable cities in terms of their environmental, economic, and social goals. The aim of this paper is to examine how the compact city model is practiced and justified in urban planning and development with respect to the three dimensions of sustainability, and whether any kind of practical progress has been made in this regard. To illuminate the phenomenon of the compact city, a descriptive case study is adopted as a qualitative research methodology where the empirical basis is mainly formed by urban plans in two Swedish cities: Gothenburg and Helsingborg, in combination with qualitative interview data, secondary data, and scientific literature. This study shows that compactness, density, diversity, mixed land use, sustainable transportation, and green space are the prevalent design principles and strategies of compact city planning and development, with the latter being contextually linked to the concept of green structure, an institutional setup under which the two Swedish cities operate. Moreover, at the core of the compact city model is the clear synergy between the underlying principles and strategies in terms of their cooperation to produce combined effects greater than the sum of their separate effects with respect to the benefits of sustainability as regards its tripartite value. Further, this study demonstrates that the compact city model as practiced by the two cities is justified by its ability to contribute to the environmental, economic, and social goals of sustainable development. However, the economic goals dominate over the environmental and social goals, notwithstanding the claim about the three dimensions of sustainability being equally important at the discursive level. Nevertheless, new planning measures are being implemented to address the relevant environmental and social issues towards balancing the three goals of sustainability and thus strengthening their influence over urban development practices. (Less)","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Business"],"doi":"10.1016/j.dibe.2020.100021","url":"https://www.semanticscholar.org/paper/119bfa6eb62afeecd663ef7e238751a3c09116a3","pdf_url":"https://doi.org/10.1016/j.dibe.2020.100021","is_open_access":true,"citations":488,"published_at":"","score":78.64},{"id":"ss_c36645bec2c17de33a38f30813982e65c02eb909","title":"A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning","authors":[{"name":"L. Le"},{"name":"Hoang Nguyen"},{"name":"J. Dou"},{"name":"Jian Zhou"}],"abstract":"Energy-efficiency is one of the critical issues in smart cities. It is an essential basis for optimizing smart cities planning. This study proposed four new artificial intelligence (AI) techniques for forecasting the heating load of buildings’ energy efficiency based on the potential of artificial neural network (ANN) and meta-heuristics algorithms, including artificial bee colony (ABC) optimization, particle swarm optimization (PSO), imperialist competitive algorithm (ICA), and genetic algorithm (GA). They were abbreviated as ABC-ANN, PSO-ANN, ICA-ANN, and GA-ANN models; 837 buildings were considered and analyzed based on the influential parameters, such as glazing area distribution (GLAD), glazing area (GLA), orientation (O), overall height (OH), roof area (RA), wall area (WA), surface area (SA), relative compactness (RC), for estimating heating load (HL). Three statistical criteria, such as root-mean-squared error (RMSE), coefficient determination (R2), and mean absolute error (MAE), were used to assess the potential of the aforementioned models. The results indicated that the GA-ANN model provided the highest performance in estimating the heating load of buildings’ energy efficiency, with an RMSE of 1.625, R2 of 0.980, and MAE of 0.798. The remaining models (i.e., PSO-ANN, ICA-ANN, ABC-ANN) yielded lower performance with RMSE of 1.932, 1.982, 1.878; R2 of 0.972, 0.970, 0.973; MAE of 1.027, 0.980, 0.957, respectively.","source":"Semantic Scholar","year":2019,"language":"en","subjects":["Mathematics"],"doi":"10.3390/APP9132630","url":"https://www.semanticscholar.org/paper/c36645bec2c17de33a38f30813982e65c02eb909","pdf_url":"https://www.mdpi.com/2076-3417/9/13/2630/pdf?version=1561721554","is_open_access":true,"citations":292,"published_at":"","score":71.75999999999999},{"id":"ss_6638d5513dca0cc0d2c46f0fa1828f9277592883","title":"Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning","authors":[{"name":"Hao Zhou"},{"name":"Shenjing He"},{"name":"Yuyang Cai"},{"name":"Miao Wang"},{"name":"Shiliang Su"}],"abstract":"Abstract It is of great significance both in theory and in practice to propose an efficient approach to approximating visual walkability given urban residents' growing leisure needs. Recent advancements in sensing and computing technologies provide new opportunities in this regard. This paper first proposes a conceptual framework for understanding street visual walkability and then employs deep learning technologies to segment and extract physical features from Baidu Map Street View (BMSV) imagery using the case of Shenzhen City in China. Guided by this framework, four indicators are calculated based on the segmented imagery and further integrated into the visual walkability index (VWI), whose reliability is validated through manual interpretation and a subjective scoring experiment. Our results show that deep learning technologies achieve higher accuracy in segmenting street view imagery than the traditional K-means clustering algorithm and support vector machine algorithm. Moreover, the developed VWI is effective to measure visual walkability, and it presents great heterogeneity across streets within Shenzhen. Spatial regression further identifies that significant social inequalities are associated with neighborhood visual walkability. According to the findings, implications and suggestions on planning the healthy city are proposed. The methodological procedure is reduplicative and can be applied to other unfeasible or challenging cases.","source":"Semantic Scholar","year":2019,"language":"en","subjects":["Computer Science"],"doi":"10.1016/J.SCS.2019.101605","url":"https://www.semanticscholar.org/paper/6638d5513dca0cc0d2c46f0fa1828f9277592883","is_open_access":true,"citations":269,"published_at":"","score":71.07},{"id":"ss_913a5337d2c6689a5bf7f96f83043020b5ecb460","title":"City planning policies to support health and sustainability: an international comparison of policy indicators for 25 cities","authors":[{"name":"M. Lowe"},{"name":"D. Adlakha"},{"name":"J. Sallis"},{"name":"D. Salvo"},{"name":"E. Cerin"},{"name":"A. Moudon"},{"name":"C. Higgs"},{"name":"E. Hinckson"},{"name":"Jonathan Arundel"},{"name":"G. Boeing"},{"name":"Shiqin Liu"},{"name":"Perla Mansour"},{"name":"K. Gebel"},{"name":"A. Puig-Ribera"},{"name":"Pinki Bhasin Mishra"},{"name":"T. Božović"},{"name":"J. Carson"},{"name":"J. Dygrýn"},{"name":"A. Florindo"},{"name":"Thanh Phuong Ho"},{"name":"Hannah Hook"},{"name":"R. Hunter"},{"name":"P. Lai"},{"name":"J. Molina‐García"},{"name":"Kornsupha Nitvimol"},{"name":"A. Oyeyemi"},{"name":"C. Ramos"},{"name":"Eugen Resendiz"},{"name":"J. Troelsen"},{"name":"F. Witlox"},{"name":"B. Giles-Corti"}],"abstract":"City planning policies influence urban lifestyles, health, and sustainability. We assessed policy frameworks for city planning for 25 cities across 19 lower-middle-income countries, upper-middle-income countries, and high-income countries to identify whether these policies supported the creation of healthy and sustainable cities. We systematically collected policy data for evidence-informed indicators related to integrated city planning, air pollution, destination accessibility, distribution of employment, demand management, design, density, distance to public transport, and transport infrastructure investment. Content analysis identified strengths, limitations, and gaps in policies, allowing us to draw comparisons between cities. We found that despite common policy rhetoric endorsing healthy and sustainable cities, there was a paucity of measurable policy targets in place to achieve these aspirations. Some policies were inconsistent with public health evidence, which sets up barriers to achieving healthy and sustainable urban environments. There is an urgent need to build capacity for health-enhancing city planning policy and governance, particularly in low-income and middle-income countries.","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Medicine"],"doi":"10.1016/S2214-109X(22)00069-9","url":"https://www.semanticscholar.org/paper/913a5337d2c6689a5bf7f96f83043020b5ecb460","pdf_url":"http://www.thelancet.com/article/S2214109X22000699/pdf","is_open_access":true,"citations":151,"published_at":"","score":70.53},{"id":"ss_9054728e08843925dbf965de045095fdec289dee","title":"Digital twins in city planning","authors":[{"name":"Michael Batty"}],"abstract":"","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine","Computer Science"],"doi":"10.1038/s43588-024-00606-7","url":"https://www.semanticscholar.org/paper/9054728e08843925dbf965de045095fdec289dee","pdf_url":"https://www.nature.com/articles/s43588-024-00606-7.pdf","is_open_access":true,"citations":75,"published_at":"","score":70.25},{"id":"ss_927df2eeaeebd5f0885283b621a23a805fd32664","title":"Building Urban Resilience Through Smart City Planning: A Systematic Literature Review","authors":[{"name":"Abdulaziz I. Almulhim"}],"abstract":"Smart city planning is crucial for enhancing urban resilience, especially with the contemporary challenges of rising urban population and climate change. This study conducts a systematic literature review (SLR) to examine the integration of urban resilience in smart city planning, synthesizing the current literature to identify key components, barriers, and enablers. The study found that technological integration, sustainability measures, and citizens’ participation are critical factors to the effective development of smart cities. The review emphasizes the need for an integrated approach to urban resilience, calling for continued research and collaboration among stakeholders. It highlights how urban sustainability and resilience should be addressed within an urban system and that interdisciplinary work, stakeholder consultation, and public engagement are required. It finally suggests the integration of creativity and diversity in urban planning practices and policies for improving vulnerability to modern-day challenges in urban contexts. It concludes by outlining implications for urban planning practices and policy development, advocating for innovative, inclusive strategies to enhance urban resilience.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.3390/smartcities8010022","url":"https://www.semanticscholar.org/paper/927df2eeaeebd5f0885283b621a23a805fd32664","pdf_url":"https://doi.org/10.3390/smartcities8010022","is_open_access":true,"citations":27,"published_at":"","score":69.81},{"id":"ss_a320ae9d172705fa60248b110287341d359592f0","title":"What next? Expanding our view of city planning and global health, and implementing and monitoring evidence-informed policy.","authors":[{"name":"B. Giles-Corti"},{"name":"A. Moudon"},{"name":"M. Lowe"},{"name":"E. Cerin"},{"name":"G. Boeing"},{"name":"H. Frumkin"},{"name":"D. Salvo"},{"name":"S. Foster"},{"name":"Alexandra Kleeman"},{"name":"S. Bekessy"},{"name":"Thiago Hérick de Sá"},{"name":"M. Nieuwenhuijsen"},{"name":"C. Higgs"},{"name":"E. Hinckson"},{"name":"D. Adlakha"},{"name":"Jonathan Arundel"},{"name":"Shiqin Liu"},{"name":"A. Oyeyemi"},{"name":"Kornsupha Nitvimol"},{"name":"J. Sallis"}],"abstract":"This Series on urban design, transport, and health aimed to facilitate development of a global system of health-related policy and spatial indicators to assess achievements and deficiencies in urban and transport policies and features. This final paper in the Series summarises key findings, considers what to do next, and outlines urgent key actions. Our study of 25 cities in 19 countries found that, despite many well intentioned policies, few cities had measurable standards and policy targets to achieve healthy and sustainable cities. Available standards and targets were often insufficient to promote health and wellbeing, and health-supportive urban design and transport features were often inadequate or inequitably distributed. City planning decisions affect human and planetary health and amplify city vulnerabilities, as the COVID-19 pandemic has highlighted. Hence, we offer an expanded framework of pathways through which city planning affects health, incorporating 11 integrated urban system policies and 11 integrated urban and transport interventions addressing current and emerging issues. Our call to action recommends widespread uptake and further development of our methods and open-source tools to create upstream policy and spatial indicators to benchmark and track progress; unmask spatial inequities; inform interventions and investments; and accelerate transitions to net zero, healthy, and sustainable cities.","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Medicine"],"doi":"10.1016/s2214-109x(22)00066-3","url":"https://www.semanticscholar.org/paper/a320ae9d172705fa60248b110287341d359592f0","pdf_url":"http://www.thelancet.com/article/S2214109X22000663/pdf","is_open_access":true,"citations":106,"published_at":"","score":69.18},{"id":"ss_1a463f15af4e8106c6985a3945e7149c819555f4","title":"Augmented Reality for Public Engagement in Sustainable City Planning: Cloud and Machine Learning Integration","authors":[{"name":"R. Sabitha"},{"name":"G. S"},{"name":"Y. S"},{"name":"G. M"},{"name":"R. Babuji"},{"name":"S. Murugan"}],"abstract":"This paper explores how the convergence of augmented reality (AR), cloud computing, and machine learning might transform public engagement in sustainable city planning in today's dynamic urban environment. Citizens may experience proposed urban developments in unprecedented detail, including their possible social, environmental, and infrastructural impacts, due to the use of augmented reality. The potential for AR, cloud computing, and Support Vector Machines (SVM) to dramatically increase citizen participation in green urban design is investigated. With AR, individuals may explore potential new developments in virtual cityscapes. Intricate linkages within the dynamic dataset created during public participation are captured by the system's usage of SVM to evaluate and understand user comments. The ability of SVM to deal with non-linear patterns is crucial to gleaning useful insights from stakeholders' complex and varied contributions. In order to ensure that all parties involved in a system have access to the most up-to-date information, cloud computing plays a crucial role by enabling real-time collaboration and changes to the AR models This all-encompassing method not only improves the effectiveness of eco-friendly city planning, but also encourages openness and participation in policymaking. The suggested system represents a paradigm shift, demonstrating that innovative technology may be combined with informed citizenry to produce ecologically responsible and socially dynamic cities.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.1109/AMATHE61652.2024.10582095","url":"https://www.semanticscholar.org/paper/1a463f15af4e8106c6985a3945e7149c819555f4","is_open_access":true,"citations":34,"published_at":"","score":69.02000000000001},{"id":"arxiv_2501.08983","title":"Compositional Generative Model of Unbounded 4D Cities","authors":[{"name":"Haozhe Xie"},{"name":"Zhaoxi Chen"},{"name":"Fangzhou Hong"},{"name":"Ziwei Liu"}],"abstract":"3D scene generation has garnered growing attention in recent years and has made significant progress. Generating 4D cities is more challenging than 3D scenes due to the presence of structurally complex, visually diverse objects like buildings and vehicles, and heightened human sensitivity to distortions in urban environments. To tackle these issues, we propose CityDreamer4D, a compositional generative model specifically tailored for generating unbounded 4D cities. Our main insights are 1) 4D city generation should separate dynamic objects (e.g., vehicles) from static scenes (e.g., buildings and roads), and 2) all objects in the 4D scene should be composed of different types of neural fields for buildings, vehicles, and background stuff. Specifically, we propose Traffic Scenario Generator and Unbounded Layout Generator to produce dynamic traffic scenarios and static city layouts using a highly compact BEV representation. Objects in 4D cities are generated by combining stuff-oriented and instance-oriented neural fields for background stuff, buildings, and vehicles. To suit the distinct characteristics of background stuff and instances, the neural fields employ customized generative hash grids and periodic positional embeddings as scene parameterizations. Furthermore, we offer a comprehensive suite of datasets for city generation, including OSM, GoogleEarth, and CityTopia. The OSM dataset provides a variety of real-world city layouts, while the Google Earth and CityTopia datasets deliver large-scale, high-quality city imagery complete with 3D instance annotations. Leveraging its compositional design, CityDreamer4D supports a range of downstream applications, such as instance editing, city stylization, and urban simulation, while delivering state-of-the-art performance in generating realistic 4D cities.","source":"arXiv","year":2025,"language":"en","subjects":["cs.CV"],"doi":"10.1109/TPAMI.2025.3603078","url":"https://arxiv.org/abs/2501.08983","pdf_url":"https://arxiv.org/pdf/2501.08983","is_open_access":true,"published_at":"2025-01-15T17:59:56Z","score":69},{"id":"doaj_10.21608/jesaun.2024.326709.1374","title":"Evaluation of the Applications of using Global free Digital Elevation Models and GNSS-RTK data for Agricultural purposes in Egypt using Machine Learning","authors":[{"name":"Ashraf abdallah"},{"name":"Bara\u0026#039; Al-MISTAREHI"},{"name":"Amir SHTAYAT"}],"abstract":"Agriculture is a vital component of Egypt's economy; therefore, using Digital Elevation Models (DEMs) in agricultural planning in Egypt has significant benefits regarding water management, site appropriateness assessment, flood risk mitigation, and infrastructure construction. It is also essential for planners to make more informed decisions, optimize resource allocation, and support sustainable farming practices. This research paper investigates the accuracy of obtaining DEM data from four free global models (STRM30, ALOS30, COP30, and TanDEM-X90). The global DEM data has been compared to an actual GNSS-RTK DEM data surveyed onsite for two agricultural block areas in Aswan, the southern Government of Egypt. The two blocks are a part of a national project. For Block I and II, the RMSE of the Model STRM30 was 2.92 m and 3.59 m, respectively, indicating a poorer solution. Regarding accuracy, the ALOS30 model ranks third, reporting an RMSE of 2.58 m for block II and 3.30 m for block I. COP30 has an RMSE value of 1.06 m for blocks I and II and.91 m overall. TanDEM-X90 is the most accurate model in this investigation; block I provided an RMSE of 0.90 m with an SD of 0.58 m (SD95% = 0.38 m). After removing the anomalies, the model's stated RMSE for block II was 0.34 m, with an SD value of 0.62 m and 1.03 m. According to the classification using machine learning algorithms, with an accuracy of 84.7% for block I and 85% for block II, TanDEM-X90 is the best solution.","source":"DOAJ","year":2025,"language":"","subjects":["Engineering (General). Civil engineering (General)"],"doi":"10.21608/jesaun.2024.326709.1374","url":"https://jesaun.journals.ekb.eg/article_393447_9546e355affffebb2c5da930aaeba9a0.pdf","pdf_url":"https://jesaun.journals.ekb.eg/article_393447_9546e355affffebb2c5da930aaeba9a0.pdf","is_open_access":true,"published_at":"","score":69},{"id":"ss_3e6d223e0a0442770f94c91c1daa3e838ed95a97","title":"Smart city re-imagined: City planning and GeoAI in the age of big data","authors":[{"name":"Reza Mortaheb"},{"name":"P. Jankowski"}],"abstract":"","source":"Semantic Scholar","year":2022,"language":"en","subjects":null,"doi":"10.1016/j.jum.2022.08.001","url":"https://www.semanticscholar.org/paper/3e6d223e0a0442770f94c91c1daa3e838ed95a97","pdf_url":"https://doi.org/10.1016/j.jum.2022.08.001","is_open_access":true,"citations":96,"published_at":"","score":68.88},{"id":"ss_691bf2ddaaed512ad439ffcc60ec7d7de710bca2","title":"Data driven approaches for smart city planning and design: a case scenario on urban data management","authors":[{"name":"Anthony Jnr. Bokolo"}],"abstract":"Purpose Because of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the actualization of data driven services. However, only few studies discuss challenges related to data driven strategies in smart cities. Accordingly, the purpose of this study is to present data driven approaches (architecture and model), for urban data management needed to improve smart city planning and design. The developed approaches depict how data can underpin sustainable urban development. Design/methodology/approach Design science research is adopted following a qualitative method to evaluate the architecture developed based on top-level design using a case data from workshops and interviews with experts involved in a smart city project. Findings The findings of this study from the evaluations indicate that the identified enablers are useful to support data driven services in smart cities and the developed architecture can be used to promote urban data management. More importantly, findings from this study provide guidelines to municipalities to improve data driven services for smart city planning and design. Research limitations/implications Feedback as qualitative data from practitioners provided evidence on how data driven strategies can be achieved in smart cities. However, the model is not validated. Hence, quantitative data is needed to further validate the enablers that influence data driven services in smart city planning and design. Practical implications Findings from this study offer practical insights and real-life evidence to define data driven enablers in smart cities and suggest research propositions for future studies. Additionally, this study develops a real conceptualization of data driven method for municipalities to foster open data and digital service innovation for smart city development. Social implications The main findings of this study suggest that data governance, interoperability, data security and risk assessment influence data driven services in smart cities. This study derives propositions based on the developed model that identifies enablers for actualization of data driven services for smart cities planning and design. Originality/value This study explores the enablers of data driven strategies in smart city and further developed an architecture and model that can be adopted by municipalities to structure their urban data initiatives for improving data driven services to make cities smarter. The developed model supports municipalities to manage data used from different sources to support the design of data driven services provided by different enterprises that collaborate in urban environment.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.1108/dprg-03-2022-0023","url":"https://www.semanticscholar.org/paper/691bf2ddaaed512ad439ffcc60ec7d7de710bca2","pdf_url":"https://hiof.brage.unit.no/hiof-xmlui/bitstream/11250/3065491/2/Postprint%2bfor-Data%2bDriven%2bApproaches%2bfor%2bSmart%2bCity%2bPlanning%2band%2bDesign.pdf","is_open_access":true,"citations":41,"published_at":"","score":68.22999999999999},{"id":"arxiv_2406.06526","title":"Generative Gaussian Splatting for Unbounded 3D City Generation","authors":[{"name":"Haozhe Xie"},{"name":"Zhaoxi Chen"},{"name":"Fangzhou Hong"},{"name":"Ziwei Liu"}],"abstract":"3D city generation with NeRF-based methods shows promising generation results but is computationally inefficient. Recently 3D Gaussian Splatting (3D-GS) has emerged as a highly efficient alternative for object-level 3D generation. However, adapting 3D-GS from finite-scale 3D objects and humans to infinite-scale 3D cities is non-trivial. Unbounded 3D city generation entails significant storage overhead (out-of-memory issues), arising from the need to expand points to billions, often demanding hundreds of Gigabytes of VRAM for a city scene spanning 10km^2. In this paper, we propose GaussianCity, a generative Gaussian Splatting framework dedicated to efficiently synthesizing unbounded 3D cities with a single feed-forward pass. Our key insights are two-fold: 1) Compact 3D Scene Representation: We introduce BEV-Point as a highly compact intermediate representation, ensuring that the growth in VRAM usage for unbounded scenes remains constant, thus enabling unbounded city generation. 2) Spatial-aware Gaussian Attribute Decoder: We present spatial-aware BEV-Point decoder to produce 3D Gaussian attributes, which leverages Point Serializer to integrate the structural and contextual characteristics of BEV points. Extensive experiments demonstrate that GaussianCity achieves state-of-the-art results in both drone-view and street-view 3D city generation. Notably, compared to CityDreamer, GaussianCity exhibits superior performance with a speedup of 60 times (10.72 FPS v.s. 0.18 FPS).","source":"arXiv","year":2024,"language":"en","subjects":["cs.CV"],"url":"https://arxiv.org/abs/2406.06526","pdf_url":"https://arxiv.org/pdf/2406.06526","is_open_access":true,"published_at":"2024-06-10T17:59:55Z","score":68},{"id":"doaj_10.22054/urdp.2023.55092.1248","title":"ارزیابی شاخص‌های تحقق توسعه حمل‌ونقل شهری عمومی‌محور (موردمطالعه: منطقه 11 تهران)","authors":[{"name":"سید جلال الدین حسینی"},{"name":"آزیتا رجبی"},{"name":"افشین سفاهن"},{"name":"علی اصغر رضوانی"}],"abstract":"توسعه حمل‌ونقل عمومی محور، یکی از راهکارهای مهم و مصادیق توسعه پایدار شهری است که به‌منظور حل معضلات ترافیکی و بهبود شرایط حمل‌ونقل در شهرها مورداستفاده قرار می‌گیرد. در این رویکرد، برنامه‌ریزی و گسترش حمل‌ونقل عمومی، به‌عنوان جایگزینی برای استفاده از خودروهای شخصی و حمل‌ونقل خصوصی مطرح شده است. منطقه 11 شهرداری تهران یکی از مناطق مرکزی شهر تهران است که دارای بار ترافیکی بالایی است و به‌تبع آن با مشکلاتی در سیستم حمل‌ونقل شهری خود مواجه است. در تحقیق مذکور، باهدف انطباق شاخص‌های توسعه حمل‌ونقل عمومی محور با وضعیت فعلی منطقه 11 شهر تهران و بازپس‌گیری شهر از فضای خودرو محور به فضای انسان‌محور، شاخص‌های استاندارد توسعه حمل‌ونقل عمومی محور به‌عنوان مبنای تحلیل و رتبه‌بندی بررسی‌شده‌اند. در این رویکرد، با توجه به شاخص‌های مختلف، میزان قابلیت منطقه برای تحقق توسعه حمل‌ونقل عمومی محور ارزیابی گردیده است. به‌این‌ترتیب، این تحقیق به مسئولین و برنامه‌ریزان شهری کمک می‌کند تا بر اساس نتایج به‌دست‌آمده، راهکارهای مناسبی برای بهبود حمل‌ونقل در منطقه 11 شهر تهران ارائه دهند. روش تحقیق پژوهش حاضر ازنظر هدف؛ کاربردی و ازنظر متدولوژی توصیفی و ازنظر روش جمع‌آوری اطلاعات مبتنی بر روش‌های کتابخانه­ای – اسنادی و مطالعات میدانی بوده و در تحلیل اطلاعات نیز از نرم‌افزار سیستم اطلاعات جغرافیایی و روش­های رتبه­بندی و در مقایسه تطبیقی، از ضریب ناموزونی موریس و روش بی‌مقیاس خطی و از نرم‌افزار Choice Expert برای تحلیل سلسله­مراتبی AHP استفاده شده است. با توجه به نتایج حاصله، می‌توان گفت که منطقه 11 شهرداری تهران، به‌رغم داشتن پتانسیل بالا برای تحقق توسعه حمل‌ونقل عمومی محور، در شرایط فعلی ظرفیت تبدیل‌شدن به یک مرکز توسعه حمل‌ونقل عمومی محور را ندارد و جهت تبدیل‌شدن باید تغییرات وسیعی در ساختارهای فضایی آن ایجاد شود.","source":"DOAJ","year":2024,"language":"","subjects":["City planning","Urban renewal. Urban redevelopment"],"doi":"10.22054/urdp.2023.55092.1248","url":"https://urdp.atu.ac.ir/article_16487_a2a3f517dac5a8b3038566c5e3748446.pdf","pdf_url":"https://urdp.atu.ac.ir/article_16487_a2a3f517dac5a8b3038566c5e3748446.pdf","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.5194/isprs-annals-X-4-2024-67-2024","title":"Digital Twin-based Framework for Heat Stress Calculation","authors":[{"name":"I. Cárdenas-León"},{"name":"R. Morales-Ortega"},{"name":"M. Koeva"},{"name":"F. Atún"},{"name":"K. Pfeffer"}],"abstract":"According to the KNMI Klimaatsignaal\u0026rsquo;21, the average surface temperature in The Netherlands has increased by 2.3\u0026deg;C between 1901 and 2020. Moreover, The Netherlands is also experiencing more frequent and intense heatwaves. Urban development significantly impacts the environmental conditions of a city, influencing thermal comfort and human well-being. To deal with these problems, municipalities across the country have been tasked to find ways to measure, understand, and find solutions to the increasing temperatures, specifically in urban areas. Because of this, several contrasting urban heat maps have been produced using different metrics and methods by different agencies. Koopman et al. presented a methodology for a standardized urban heat map at a 1-m spatial resolution to unify the stress tests by selecting the Physical Equivalent Temperature (PET) as a metric for heat stress. The PET is a key indicator in bio-meteorology, quantifying the combined effects of various environmental factors on human thermal perception. Despite its utility, widespread adoption of PET-based assessments by municipalities remains limited. To address this gap, this paper presents the development of a Digital Twin framework using PET analysis, enabling a collaborative, nondestructive, and cost-effective assessment of urban interventions\u0026rsquo; impact on thermal conditions. Leveraging geoprocessing workflows and geospatial data, our framework allows for real-time PET calculations and scenario testing, facilitating informed decision-making by urban planners. The framework was tested and applied for Enschede, Netherlands, demonstrating its efficacy in visualizing current conditions, projecting future scenarios, and evaluating intervention strategies. Feedback from urban planners highlighted the tool\u0026rsquo;s usability and potential for enhancing community engagement in urban planning processes.","source":"DOAJ","year":2024,"language":"","subjects":["Technology","Engineering (General). Civil engineering (General)","Applied optics. Photonics"],"doi":"10.5194/isprs-annals-X-4-2024-67-2024","url":"https://isprs-annals.copernicus.org/articles/X-4-2024/67/2024/isprs-annals-X-4-2024-67-2024.pdf","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.1109/ACCESS.2024.3350182","title":"Comparative Evaluation of Radio Network Planning for Different 5G-NR Channel Models on Urban Macro Environments in Quito City","authors":[{"name":"Valdemar Ramon Farre Guijarro"},{"name":"Jose David Vega Sanchez"},{"name":"Martha Cecilia Paredes Paredes"},{"name":"Felipe Grijalva Arevalo"},{"name":"Diana Pamela Moya Osorio"}],"abstract":"The 5th-Generation New Radio (5G-NR) network have been widely deployed around the world in the frequency range 1/range 2 bands. Once specific frequency bands within these ranges can vary across different countries and regions due to regulatory differences, it should be carried out radio network planning to evaluate the 5G coverage considering the particularities of different locations. In this regard, this paper performs a throughly analysis of the following methods for modeling wireless channel propagation in Quito, Ecuador: 3rd Generation Partnership Project, Knife Edge Diffraction (KED), ASTER and Dominant Path model (DPM). Specifically, we focus on KED, ASTER, and DPM for \u003cinline-formula\u003e \u003ctex-math notation=\"LaTeX\"\u003e$3.5/28$ \u003c/tex-math\u003e\u003c/inline-formula\u003e-GHz bands to determine the propagation models in three-Dimensional urban macro scenarios. In the radio network planning, the multiple-input multiple-output array antennas, \u003cinline-formula\u003e \u003ctex-math notation=\"LaTeX\"\u003e$2\\times 2/ 4\\times 4$ \u003c/tex-math\u003e\u003c/inline-formula\u003e configuration radiation patterns are deployed using WINPROP tool and \u003cinline-formula\u003e \u003ctex-math notation=\"LaTeX\"\u003e$64\\times 64$ \u003c/tex-math\u003e\u003c/inline-formula\u003e array configuration with the ATOLL tool. 5G frequency specifications, path-loss, influence of diffraction, reflection, blocking, and fading between transmitter and receiver have been considered for scenarios of interest, such as dense urban and urban in Quito, by using fixed wireless access applications and Vehicular-to-Everything (V2X) communications. In addition, data rates, throughput, and the quality metrics of the received reference signal, i.e., the signal-to-noise plus interference ratio, the reference signal received quality, the reference signal received power, and the received signal strength indicator, are also assessed for each propagation model. Finally, we provide useful insights into propagation models and design usage rules for the bands mentioned in 5G networks for Quito city.","source":"DOAJ","year":2024,"language":"","subjects":["Electrical engineering. Electronics. Nuclear engineering"],"doi":"10.1109/ACCESS.2024.3350182","url":"https://ieeexplore.ieee.org/document/10381695/","is_open_access":true,"published_at":"","score":68},{"id":"ss_108af5d56f0405e4a4177f3cec81d1d979c40d67","title":"Smart city planning and the challenges of informality in India","authors":[{"name":"Deepti Prasad"},{"name":"T. Alizadeh"},{"name":"R. Dowling"}],"abstract":"Smart city initiatives are mushrooming across the Global South, yet their implications for urban informality – a distinct challenge of planning in the cities of the Global South – remain overlooked. Using the Indian case as a focus and drawing upon empirical studies in three cities of Bhubaneswar, Pune, and Chennai, which are among the first 20 smart cities prioritised for implementation in the Smart Cities Mission, we show how informality challenges the understanding of the smart city. We analyse how this phenomenon is framed in smart city planning, focusing on the three domains of affordable housing, infrastructure services, and citizen engagement. We argue that using informality as a lens of critical analysis offers a new perspective on the ‘Southern theory’ of smart cities. In doing so, we highlight the disregard of informality at the cost of socio-spatial division – as a significant challenge for smart city development in India.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.1177/20438206231156655","url":"https://www.semanticscholar.org/paper/108af5d56f0405e4a4177f3cec81d1d979c40d67","pdf_url":"https://doi.org/10.1177/20438206231156655","is_open_access":true,"citations":32,"published_at":"","score":67.96000000000001},{"id":"arxiv_2306.07353","title":"HDDL 2.1: Towards Defining a Formalism and a Semantics for Temporal HTN Planning","authors":[{"name":"Damien Pellier"},{"name":"Alexandre Albore"},{"name":"Humbert Fiorino"},{"name":"Rafael Bailon-Ruiz"}],"abstract":"Real world applications as in industry and robotics need modelling rich and diverse automated planning problems. Their resolution usually requires coordinated and concurrent action execution. In several cases, these problems are naturally decomposed in a hierarchical way and expressed by a Hierarchical Task Network (HTN) formalism.   HDDL, a hierarchical extension of the Planning Domain Definition Language (PDDL), unlike PDDL 2.1 does not allow to represent planning problems with numerical and temporal constraints, which are essential for real world applications. We propose to fill the gap between HDDL and these operational needs and to extend HDDL by taking inspiration from PDDL 2.1 in order to express numerical and temporal expressions. This paper opens discussions on the semantics and the syntax needed for a future HDDL 2.1 extension.","source":"arXiv","year":2023,"language":"en","subjects":["cs.AI"],"url":"https://arxiv.org/abs/2306.07353","pdf_url":"https://arxiv.org/pdf/2306.07353","is_open_access":true,"published_at":"2023-06-12T18:21:23Z","score":67},{"id":"arxiv_2309.16553","title":"MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond","authors":[{"name":"Yixuan Li"},{"name":"Lihan Jiang"},{"name":"Linning Xu"},{"name":"Yuanbo Xiangli"},{"name":"Zhenzhi Wang"},{"name":"Dahua Lin"},{"name":"Bo Dai"}],"abstract":"Neural radiance fields (NeRF) and its subsequent variants have led to remarkable progress in neural rendering. While most of recent neural rendering works focus on objects and small-scale scenes, developing neural rendering methods for city-scale scenes is of great potential in many real-world applications. However, this line of research is impeded by the absence of a comprehensive and high-quality dataset, yet collecting such a dataset over real city-scale scenes is costly, sensitive, and technically difficult. To this end, we build a large-scale, comprehensive, and high-quality synthetic dataset for city-scale neural rendering researches. Leveraging the Unreal Engine 5 City Sample project, we develop a pipeline to easily collect aerial and street city views, accompanied by ground-truth camera poses and a range of additional data modalities. Flexible controls over environmental factors like light, weather, human and car crowd are also available in our pipeline, supporting the need of various tasks covering city-scale neural rendering and beyond. The resulting pilot dataset, MatrixCity, contains 67k aerial images and 452k street images from two city maps of total size $28km^2$. On top of MatrixCity, a thorough benchmark is also conducted, which not only reveals unique challenges of the task of city-scale neural rendering, but also highlights potential improvements for future works. The dataset and code will be publicly available at our project page: https://city-super.github.io/matrixcity/.","source":"arXiv","year":2023,"language":"en","subjects":["cs.CV"],"url":"https://arxiv.org/abs/2309.16553","pdf_url":"https://arxiv.org/pdf/2309.16553","is_open_access":true,"published_at":"2023-09-28T16:06:02Z","score":67}],"total":7855144,"page":1,"page_size":20,"sources":["arXiv","DOAJ","Semantic Scholar","CrossRef"],"query":"City planning"}