Computational Urban Science
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ArcGIS Urban: an application for plan assessment
Computational Urban Science - Tập 1 - Trang 1-10 - 2021
Most cities in the United States rely on zoning to address important planning-related issues within their jurisdictions. Planners often use GIS tools to analyze these issues in a spatial context. ESRI’s ArcGIS Urban software seeks to provide the planning profession with a GIS-based solution for various challenges, including zoning’s impacts on the built environment and housing capacity. This resea...... hiện toàn bộ
Assessing the safety effect of red-light camera deactivation: a geographically weighted negative binomial regression approach
Computational Urban Science - Tập 2 - Trang 1-12 - 2022
Municipalities across the country have debated the safety effect of automatic red-light cameras (RLC) and their political and financial implications. Most empirical studies have used the Empirical Bayesian (EB) approach to assess the safe effects to facilitate policy debates. While popular, the EB method has several limitations in data requirement, reference site selection, and control of confound...... hiện toàn bộ
Effects of traffic signal coordination on the safety performance of urban arterials
Computational Urban Science - Tập 2 - Trang 1-13 - 2022
Urban traffic congestion and crashes have been considered by city planners as critical challenges to the economic development of the city. Traffic signal coordination, which connects a series of signals along an arterial by various coordination methodologies, has been proved as one of the most cost-effective means of reducing traffic congestion. In this regard, Metropolitan Planning Organizations ...... hiện toàn bộ
Scalable flood inundation mapping using deep convolutional networks and traffic signage
Computational Urban Science - Tập 3 - Trang 1-19 - 2023
Floods are one of the most prevalent and costliest natural hazards globally. The safe transit of people and goods during a flood event requires fast and reliable access to flood depth information with spatial granularity comparable to the road network. In this research, we propose to use crowdsourced photos of submerged traffic signs for street-level flood depth estimation and mapping. To this end...... hiện toàn bộ
Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model
Computational Urban Science - Tập 1 - Trang 1-13 - 2021
United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and lead...... hiện toàn bộ
A modelling study on quantifying the impact of urbanization and regional effects on the wintertime surface temperature over a rapidly-growing tropical city
Computational Urban Science - Tập 2 - Trang 1-11 - 2022
Climate change and sustainability are among the most widely used terms among policymakers and the scientific community in recent times. However, climate action or steps to sustainable growth in cities in the global south are mostly borrowed from general studies at a few large urban agglomerations in the developed world. There are very few modeling studies over south Asia to understand and quantify...... hiện toàn bộ
A machine learning approach for predicting hurricane evacuee destination location using smartphone location dataAbstract Evacuation destination choice modeling is an integral aspect of evacuation planning. Outputs from such models are required to estimate the clearance times on which evacuation orders are based. The number of evacuees arriving at each destination also informs allocation of resources and shelter planning. Despite its importance, evacuee destination modeling ha... ... hiện toàn bộ
Computational Urban Science -
Spatial heterogeneities of residents' sentiments and their associations with urban functional areas during heat waves– a case study in Beijing
Computational Urban Science - - 2024
The intensification of global heat wave events is seriously affecting residents' emotional health. Based on social media big data, our research explored the spatial pattern of residents' sentiments during heat waves (SDHW). Besides, their association with urban functional areas (UFAs) was analyzed using the Apriori algorithm of association rule mining. It was found that SDHW in Beijing were charac...... hiện toàn bộ
Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters
Computational Urban Science - Tập 3 - Trang 1-16 - 2023
The COVID-19 pandemic caused lifestyle changes and has led to the new electricity demand patterns in the presence of non-pharmaceutical interventions such as work-from-home policy and lockdown. Quantifying the effect on electricity demand is critical for future electricity market planning yet challenging in the context of limited smart metered buildings, which leads to limited understanding of the...... hiện toàn bộ
An iterative local search based hybrid algorithm for the service area problemAbstract This article presents a hybrid algorithm for the service area problem. The design of service areas is one of the essential issues in providing efficient services in both the public and private sectors. For a geographical region with a number of small spatial units, the service area problem is to assign the service-demand units to the service-supply units su... ... hiện toàn bộ
Computational Urban Science - - 2021
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