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Medium-sized cities are increasingly committed to the planning and construction of urban public spaces to meet people’s demand for high-quality urban life. Parks and squares are important parts of urban public spaces, and their vitality represents the quality of public spaces to a certain extent and reflects the happiness index of urban residents....
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... filtering out duplicate and incorrectly addressed data points, a total of 41,902 valid points were retained (Figure 2), including 238 parks and squares within the study area. To ensure the consistency and universality of the data, all POI data were classified into 13 categories and several subcategories according to standard POI classification (Table 1). ...Context 2
... filtering out duplicate and incorrectly addressed data points, a total of 41,902 valid points were retained (Figure 2), including 238 parks and squares within the study area. To ensure the consistency and universality of the data, all POI data were classified into 13 categories and several subcategories according to standard POI classification (Table 1). Population data: The methods for obtaining the spatial population distribution data included WorldPop, GPW v4 and two Chinese kilometer grid population distribution datasets. ...Citations
... Table 1 includes nine key factors related to physical qualities that affect citizens' happiness in an urban environment. Specifically, connectivity, accessibility, and mobility, such as the availability of bike-friendly infrastructures (Ma and Ye 2022), perceived walkability, access to services (Kent et al. 2017, Donoff 2017, Kwon et al. 2019, Godwyll and Buzinde 2022, and motivators of pedestrian activity, promote happiness and pleasure in urban spaces (Karuppannan and Sivam 2013, Kent et al. 2017, Ala-Mantila et al. 2018, Chen and Zhang 2018, Kwon et al. 2019, Shedid and Hefnawy 2021, Wang et al. 2022, Lai and Deal 2022, Ma and Ye 2022. As stated by Kwon et al. (2019), objective and subjective measures of walkability may have varying degrees of influence. ...
... These services encompass, for example, mental health support, access to healthcare, and programs that foster social inclusion. Population density is another factor associated with well-being in urban areas (Wang et al. 2022). While high population density can contribute to feelings of crowding and congestion, it can also provide opportunities for social interaction and community building. ...
... . Social welfare service Chen and Zhang (2018). Population density Wang et al. (2022). GDP Level of nation. ...
Urban spaces play a crucial role in shaping the happiness of individuals and communities. However, understanding the factors that contribute to urban happiness is challenging due to the complex and subjective nature of the concept, as well as the scattered nature of the relevant literature. This paper presents a systematic review aimed at identifying the factors that contribute to the happiness of citizens in urban public spaces. The review, which followed the PRISMA method, includes literature from eight academic search engines covering the period from 2000 to 2023. A total of 57 papers were analyzed, resulting in the identification of 64 factors across eight domains: physical, ecological, visual, functional, social, subjective, political, and personal aspects. This comprehensive overview of these factors provides a broad landscape of influences on urban happiness. Policymakers and urban planners can use this overview to enhance citizens’ quality of life and happiness.
... Areas with a dense population distribution an areas with highly mixed functions are also important factors that can lead to the risk of a epidemic situation [57]. They play the role of locating the main target places for pedestr We used the weight proportion of the five risk index factors obtained by the entropy method to conduct the final weighted superposition analysis of the index values in each spatial unit grid [58]. In this way, we could obtain the final factor-weighted superposition risk quantitative assessment results [59] (Figure 12). ...
With the global spread of various human-to-human epidemics, public health issues have become a focus of attention. Therefore, it is of great importance to improve the quantitative risk assessment of the construction of resilient cities in terms of epidemic disasters. Starting with the dimensions of social activities and material space, this paper took Qingdao, China, with a population of 5 million, as an example, and took its seven municipal districts as the research scope. In this paper, five risk factors, including the Population density index, Night light index, Closeness index of roads, Betweenness index of roads and Functional mixed nuclear density index were selected for weighted superposition analysis. We conducted a quantitative assessment of the spatial risk of epidemic disaster so as to obtain the classification and spatial structure of the epidemic disaster risk intensity. The results show that: ① The roads with a large traffic flow are most likely to lead to the risk of urban spatial agglomeration, and the areas with a large population density and large mixture of infrastructure functions are also important factors causing the risk of epidemic agglomeration. ② The analysis results regarding the population, commerce, public services, transportation, residence, industry, green space and other functional places can reflect the high-risk areas for epidemic diseases with different natures of transmission. ③ The risk intensity of epidemic disasters is divided into five risk grade areas. Among them, the spatial structure of epidemic disasters, composed of the first-level risk areas, is characterized by “one main area, four secondary areas, one belt and multiple points” and has the characteristics of spatial diffusion. ④ Catering, shopping, life services, hospitals, schools and transportation functional places are more likely to cause crowd gathering. The management of these places should be focused on prevention and control. At the same time, medical facilities should be established at fixed points in all high-risk areas to ensure the full coverage of services. In general, the quantitative assessment of the spatial risk of major epidemic disasters improves the disaster risk assessment system in the construction of resilient cities. It also focuses on risk assessment for public health events. It is helpful to accurately locate the agglomeration risk areas and epidemic transmission paths that are prone to outbreak or cause epidemic transmission in cities so as to assist the relevant practitioners in containing the epidemic from the initial stage of transmission in a timely manner and prevent the further spread of the epidemic.
The quality of urban green space has an impact on the health and well-being of populations. Previous studies have shown that consideration of crowd activity characteristics is the key premise of landscape space design and planning. However, there is limited research on the correlation between features of the spatial layout of Mini Urban Green Spaces (MUGS) and the behavior of people, and it is difficult to take into account the possible distribution of people and their activity characteristics during the design phase of MUGS. This study aims to construct a technical workflow utilizing the AnyLogic platform and agent-based simulation methods for analyzing the characteristics of landscape spatial layouts considering dynamic human behavior. One MUGS, named 511 Park in Nanjing, China, was selected as the case for the application of the method and exploration of the impacts of spatial elements and layout on crowd activity types and density. We investigated the impact of four types of spatial elements—paths, facilities, nodes, and entrances—on human activities in MUGS. The results showed that path layout emerged as the most significant influencing factor. Changes in nodes and the number of facilities have a relatively minor impact on people’s activities. There was an apparent impact of changes in path orientation around nodes on the dynamics of the flow of people. This study could provide valuable insights for landscape designers, aiding informed decision-making during the construction, renovation, and management of MUGS.
The construction of tourist villages is an important implementation path for promoting the new urbanization strategy in China. The optimization of their spatial pattern and functional adjustment is a key way to achieve high-quality urban development. The purpose of this study is to determine the influencing factors of public space vitality in tourist villages from the perspective of human behavior activities and to provide design support strategies for enhancing the vitality of public spaces in tourist villages. Using Mochou Village as an example, physical and behavioral network models were used to conduct a quantitative study of the vitality characteristics, and Quantitative Analysis of Precedence (QAP) regression was used to investigate the influence factors. The results demonstrate that spatial characteristics, such as “small block size, high street density”, and grid-like street structure and squares, as well as factors such as store concentration, sight lines, street length, spatial openness, and street width, significantly impact the vitality of public spaces in tourist villages. The analysis of the characteristics of the vitality of public space networks in tourist villages and the discussion of the influencing factors of public space vitality in this study can provide guidance for evaluating the vitality of public spaces and designing public spaces with high vitality in tourist villages.
Industrial heritage is a valuable spatial resource for urban stock updates, and its preservation and reuse play an important role in the transmission of urban history and culture. Typological analysis, descriptive statistical analysis, relevant spatial analysis using ArcGIS 10.8, and geographic probes were employed to explore the spatial distribution characteristics and influencing factors regarding the current status of the reuse of 196 heritage sites selected from five batches of China’s National Industrial Heritage (NIH) lists. The results reveal the following: (1) The spatial distribution of China’s NIH sites is uneven and cohesive, forming a dense circle with the Yangtze River Delta region and the Beijing–Tianjin–Hebei region at its core. (2) Three-fourths of the NIH sites have entered the reuse stage, and high-density and relatively high-density clusters have formed in the eastern and central regions. (3) The conservation and reuse directions of China’s NIH sites are mainly divided into publicization and marketization. (4) The spatial distribution differentiation of the reuse of NIH sites is not due to a single cause but, rather, a combination of various contributing factors. Natural geographic and socio-economic factors exert varying degrees of influence on the spatial distribution of reused heritage sites, with tourism resources and government support playing primary roles in shaping this distribution. These findings establish a fundamental database of China’s NIH sites and provide guidance for the current conservation and reuse of industrial heritage.
Promoting park vitality is fundamental for advancing both residents’ well-being and sustainable urban development. Current research often sidesteps the temporal fluctuations and combined effects of environmental factors on park vitality. Drawing on real-time user density data from Tencent, this investigation analyzed park vitality across 64 urban parks in Fuzhou, China, divided into five specific temporal periods on weekdays and weekends. Through the application of geographic detector models, this study examined the impact and interplay of both intrinsic and extrinsic environmental characteristics on park vitality over these different times. Our primary findings include: (1) environmental attributes affecting park vitality vary temporally, with aspects like commercial density, leisure facility density, and park size consistently influencing vitality; (2) on weekdays, external attributes linked to convenience are predominant, while on weekends, internal attributes connected to recreation take precedence; and (3) there is a synergetic interaction between environmental determinants, often leading to either additive or more intricate effects on park vitality. Based on these insights, we propose recommendations for spatial planning and time-based policies to enhance the alignment between urban settings and park quality. This research provides actionable strategies for enhancing park vitality, both within China and internationally.
The analysis and evaluation of the service capacity of an urban public space is of great importance for optimizing spatial design and ensuring sustainable regeneration of the space. Point-of-interest (POI) data analysis is a common method for evaluating the performance of public space since it contains various geographical information about specific facilities. However, this method is incapable of providing intuitive and clear feedback on the usage of the space, such as visitor experience and satisfaction levels. In this paper, we present a hybrid approach that combines POI data with questionnaire surveys to comprehensively analyze and evaluate the service capacity of the facilities in a waterfront public space. By taking the Changning section of the Suzhou Creek in Shanghai as an example, we evaluate and verify the utilization rate and satisfaction level of public facilities based on this hybrid approach with three satisfaction factors: accessibility, landscape visual quality, and service functions. The results reveal that the service space that can be reached on foot provides the most satisfaction in terms of accessibility, followed by the space that can be reached by bicycle. When it comes to landscape visual quality, visitors are more concerned with the view around the facility than with the greenery. Regarding service functions, the service facility with beverage outlets, fitness, and small gatherings is more appealing. The proposed approach will be useful for further developing advanced public space evaluation strategies with real-time feedback capabilities, as well as for the intelligent design and long-term regeneration of future public spaces.
