Livability and Subjective Well-Being Across European Cities

Okulicz-Kozaryn, Adam; Valente, Rubia R.

doi:10.1007/s11482-017-9587-7

Cited by 59 publications

(28 citation statements)

References 57 publications

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“…At the same time, it provides favorable support for studying and analyzing the internal mechanism of complex systems. However, due to the complexity and diversity of urban livability, using Repast to build simulation models has drawbacks [29].…”

Section: Discussionmentioning

confidence: 99%

Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities

Pan

Yang

et al. 2020

Sustainability

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Urban livability is an important factor affecting the sustainable development of modern cities. Safe livability is an important part of urban livability. In view of this, this paper takes security as an example, and based on the actual data of Futian District, Shenzhen City, China, establishes a multi-agent simulation model of urban safe livability. The dynamic interaction feedback mechanism between decision-making behaviors of residents and urban safe livability under the influence of environment and policies has been explored, and residents' decision-making simulation of the change of urban safe livability is realized. Finally, the main factors influencing urban safe livability are summarized through simulation conclusions. The research can not only provide scientific suggestions for improving the safe livability of Shenzhen, it also provides strong support for the sustainable development of the city.Sustainability 2020, 12, 2070 2 of 15 detector model. Liu and co-workers explored the complex interdependence between emerging tourism and the livability of Chinese cities. Based on the conceptual model and statistical analysis of 35 large-and medium-sized cities in China from 2003 to 2012, the potential threat of overdevelopment of tourism to the livability of the city was deduced [4]. Paul and colleagues took Kolkata, India as the research object, and based their study on integrated urban geographic factors (IUGFs), evaluating the changes to livability in the city center to understand the impact of changes in livability on urban development [5]. Khorasani and Zarghamfard [6] analyzed the influence of spatial factors at local and regional scales on livability, using the urban village of Walamin as an example. The results showed that there was a significant relationship between village spatial factors and livability indicators. Furlan and Petruccioli [7] proposed a model called transit oriented development (TOD). This model improves urban livability through better integration of urban transportation and land use strategies, thereby maintaining sustainable urbanization. Most of the studies in the above literature only consider the meaning and measurement indicators of a more comprehensive livable city. They are limited to the concept and interpretation of the concept. They do not consider changes in the livability of the city under the influence of various factors. They only focus on static spatial equilibrium and the estimation of urban livability under quantitative indicators. Moreover, they ignore complex human factors and individual decision-making behaviors, and it is difficult to reflect the complexity of urban spatial systems. Therefore, in our study, computer technology is used to study the interaction between many environmental factors and complex human factors. Moreover, computer technology is of great significance to the study of urban safe livability.Multi-agent modeling [8] refers to abstracting the basic elements of complex systems into agents. Then, an agent simulation model corresponding to the real...

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Section: Discussionmentioning

confidence: 99%

Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities

Pan

Yang

et al. 2020

Sustainability

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“…The first type of research focuses on the concept and evaluation indicators of urban livability and analyzes in detail the various aspects of urban livability and the various indicators for evaluating urban livability. Sofeska and Okulicz-Kozaryn et al analyzed and studied the livability of a city based on residents' evaluations of the degree of urban livability in Skopje and several European cities [10,11]. Wey et al used fuzzy Delphi methods to study expert questionnaires and select key evaluation indicators for livability in terms of transportation.…”

Section: Background 21 Urban Livabilitymentioning

confidence: 99%

Study on an Artificial Society of Urban Safety Livability Change

Pan

Qin

et al. 2021

IJGI

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Improving the urban livability status has become the core goal of urban development, and reasonable assessment of the urban livability status and impact is crucial. By combining an objective environment with residents’ subjective cognition, an artificial society (urban livability change artificial society; ULC-AS) is constructed. The ULC-AS includes four types of agents, namely, government, family, resident and safety facility management agency agents, and recognizes dynamic interaction among various agents and between agents and the environment. Taking the Futian District of Shenzhen as an example, this paper examines factors such as migrants, birth policies, and government investment. We simulate the interactions among resident satisfaction changes, relocation decision-making behavior and urban safety livability and analyze the change processes and development trends of urban safety livability under multiple scenarios. Our main result indicates that population change and investment construction are important factors affecting urban safety livability. At present, the population of the Futian District is saturated. Therefore, the government must assess the urban safety livability and increase investment in high-demand areas. Through this method, the goals of urban resource allocation optimization and coordinated urban development can be achieved.

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“…SWB is defined as people's evaluation of their lives, an evaluation that includes both the cognitive judgment of the standards of what constitutes "the good life" and an affective evaluation of feelings and emotions. In some studies, the term "life satisfaction" is used to refer to the cognition aspect of the evaluation and happiness often refers to the affect aspect (Okulicz-Kozaryn & Valente, 2018). This categorisation of cognitive and affect aspects limits the concept of happiness to emotional experiences and subjective evaluations.…”

Section: Literature Review 21 Happiness Definitionsmentioning

confidence: 99%

Assessment of user happiness in campus open spaces

Farag

Badawi

Doheim

2019

jps

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There is a considerable amount of interest among scholars and urban designers in assessing and fulfilling a shared desire for happiness that is expressed by users of open spaces. The scope of this paper is limited to user experience in a university campus, and considerations around the impact of the setting and design of existing open spaces on stimulating positive feelings and happiness in students, and enhancing the all-round educational experience. The study is limited to young female students at the Effat University campus, in the Kingdom of Saudi Arabia, Jeddah City. This paper aims to assess the students’ level of happiness on a university campus by examining the impact of the open spaces design and setting on the students. A cognitive map analysis is used to investigate the students’ emotional experience of the open spaces on campus. Also, a questionnaire is used to investigate the students’ preferable open spaces and the reasons for their preferences, which validate the results. The results showed that due to social and environmental conditions some decisions need to be made in response to outdoor temperatures and the spaces’ settings in order to improve their design and make a significant positive impact on students’ happiness. In addition, this could potentially result in a happier, healthier, and more efficient educational environment overall.

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Livability and Subjective Well-Being Across European Cities

Cited by 59 publications

References 57 publications

Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities

Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities

Study on an Artificial Society of Urban Safety Livability Change

Assessment of user happiness in campus open spaces

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