Evaluation Of Urban Planning Research Articles

Are human activities consistent with planning? A big data evaluation of master plan implementation in Changchun

Urban planning has a significant impact on human spatial activities. The evaluation of urban planning implementation is important to determine how urban planning can guide spatial activities. However, existing evaluation methods focus more on physical space and largely neglect the object of urban planning—the people themselves. Furthermore, they rarely evaluate whether urban construction truly meets people’s demands. This study analyzes the spatial pattern of employment in Changchun, China, based on data on human activities and compares it with the Changchun Master Plan. Spatial patterns and the structure of employment in Changchun were calculated using mobile phone signal data, and the implementation effect of employment space in the master plan was evaluated using human activity patterns. The results demonstrate that although urban planning plays a role in guiding residents’ employment activities, it cannot achieve the plan’s desired effect. Many construction lands do not play an effective role in guiding residents’ spatial behavior based on the master plan. Moreover, the commuting distance in suburban areas is much longer than that in central areas. This phenomenon is not caused by the plan’s multicenter structure but by the lagging of the urban development behind planning expectations and delays in planning revision. This study indicates that urban planning evaluation is important after implementation and big data are a significant tool as they can precisely assess whether the plan has achieved its goals.

Evaluation of urban planning methods toward bioclimatic and resilient urban spaces

Open urban spaces play a key role in achieving city resilience, the urban ability to survive in extreme conditions caused by phenomena such as heat waves and urban heat islands and to absorb change and disruption. Urban regeneration planning and intervention design are critical for providing thermal and wind comfort to citizens and enhancing urban resilience. Supporting decision makers, the microclimate created in urban planning use cases is simulated to identify, assess, and rate the bioclimatic impacts of alternative plans. The Bioclimatic Index is proposed based on the simulation results and the rated plans to strengthen evaluation of urban regeneration plans and interventions that empower urban microclimate and resilience. The methodology is applied to an abandoned space in the Old Port of Patras, Greece, of wet Mediterranean climate, and can be extended to urban areas with similar characteristics.

Application of Land Use Change and Prediction in Urban Planning Evaluation and Formulation

The study monitored land use change in Nansha during 2000-2018, evaluate Nansha’s urban planning by the overlay analysis of land use general planning, land use distribution, and economic data, and predicted the urban expansion in 2025 and 2035 to provide scientific information for urban planning in the future. The results showed that the built-up area rapidly expanded (78.32 km2 to 153.75 km2 in 2000-2018), and the GDP and the newly-added enterprises remarkably increased as well. Most of built-up area matched the land use planning. The urban expansion was simulated to 168.27 km2 in 2025 and to 207.04 km2 in 2035 for future land use planning.

Analysis of Beijing’s Working Population Based on Geographically Weighted Regression Model

Evaluation of urban planning and development is becoming more and more important due to the large-scale urbanization of the world. With the application of mobile phone data, people can analyze the development status of cities from more perspectives. By using the mobile phone data of Beijing, the working population density in different regions was identified. Taking the working population density in Beijing as the research object and combining the land use of the city, the development status of Beijing was evaluated. A geographically weighted regression model (GWR) was used to analyze the difference in the impact of land use on the working population between different regions. By establishing a correlation model between the working population and land use, not only can the city’s development status be evaluated, but it can also help city managers and planners to make decisions to promote better development of Beijing.

Protocolo de elaboração de arquivo climático de cidades brasileiras para o software ENVI-met 4.0

Após a 4º revolução industrial, a simulação computacional vem contribuindo na elaboração e avaliação de projetos arquitetônicos e urbanísticos em conformidade com as condições climáticas locais, o que representa um importante avanço para o entendimento do clima urbano. Esta compreensão do clima local por meio dos arquivos climáticos mostra-se essencial para o adequado processo de simulação. Neste sentido, a pesquisa tem como objetivo elaborar o protocolo de arquivo climático de cidades brasileiras para utilização na simulação computacional microclimática no software ENVI-met 4.0 para o período de verão. No ENVI-met esses dados são inseridos no ConfigWizard (. cf), requerendo dados meteorológicos básicos, tais como a velocidade do vento a 10 metros da superfície (m/s), direção do vento em graus, umidade especifica a 2500 metros (g/kg), coeficiente de rugosidade da superfície, umidade relativa (%) e temperatura inicial da atmosfera em (ºC). A metodologia consiste na coleta de dados climáticos, proveniente da base de dados das estações meteorológicas do Instituto Nacional de Meteorologia (INMET) a partir da análise das normais climatológicas e de outras ferramentas. Conclui-se que com arquivos climáticos prontos se facilita substancialmente o processo de simulação computacional, evitando uma série de inadequações e erros nos resultados da simulação.