Quality of Life in Cities: A Question of Mobility and Accessibility

Nuvolati, Giampaolo

doi:10.1007/978-1-4020-8569-7_12

Cited by 15 publications

(9 citation statements)

References 14 publications

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“…Furthermore, the way cities are hierarchically organized is also country specific, which justifies why different effects are observed when urban scale increases from second-tier cities to capitals. According to Nuvolati (2009), this is due to existing trade-offs in capitals between more sophisticated jobs and disamenities like criminality and pollution. Capello and Camagni (2000) highlight, in turn, that this is due to the fact that capitals specialize in fulfilling certain high-order functions.…”

Section: Introductionmentioning

confidence: 99%

Assessment and Determinants of the Quality of Life in Portuguese Cities

Barreira

Amado

Santos

et al. 2020

International Regional Science Review

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The quality of life (QoL) in cities has increasingly been used as a symbol of urban success. Studies addressing this issue tend to focus, however, on large cities and/or on cities from different countries. By using a set of data from a single country, comprehending cities with different population sizes and densities, observations for 11 performance dimensions, and an approach combining the Data Envelopment Analysis (DEA) technique and multivariate regression modeling, this study analyses the QoL of Portuguese cities and explores some of its determinants. The results of this analysis show that both small and large cities can offer high levels of QoL with “transport and accessibility,” “safety,” “housing,” “education,” and “culture and entertainment” being the dimensions that most contribute to the QoL assessment. While Lisbon and Oporto (the two largest Portuguese cities) are benchmark cities, some of the highly populated cities located in their Metropolitan Areas present the most potential for improvement in terms of QoL. The results also show that cities located in the hinterland tend to present higher QoL scores than those on the coast. Equally, cities with lower population size and density, those that are district capitals and those with higher per capita current public expenditures present higher levels of QoL. These findings suggest, therefore, that the cities’ typology, their population size and density, and their dependence from local governments’ public expenditures can significantly contribute to the differences identified in their QoL performance.

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Section: Introductionmentioning

confidence: 99%

Assessment and Determinants of the Quality of Life in Portuguese Cities

Barreira

Amado

Santos

et al. 2020

International Regional Science Review

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“…Firstly, they need to offer reliable data (from which a Value of Travel Time (VTT) index is generated) and disseminate such findings through various campaigns on television, radio, and social media and to present the VTT index as a proof of the actual disadvantages of using private cars. Besides that, they also need to demonstrate that loss in terms of urban mobility also means loss in terms of quality of life because mobility may serve as a powerful means by which an individual may actualize or utilize her/his potentials and resources; such potentials and resources will in turn bring about meaningful and beneficial effects for oneself and one's surrounding environment (Nuvolati, 2009).…”

Section: Resultsmentioning

confidence: 99%

Personality Traits, Sedentariness, and Personal Dilemma as the Dynamic Predictors of Intention to Use Public Transportation in Greater Jakarta

Abraham¹,

Wirayudha²

2015

Makara Hubs-Asia

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The management of mass public transportation requires the psychology of transportation in order to design and operate a transportation system which suits the social psychology dimension of urban citizens. The aim of this research is to examine the role of personality traits, sedentariness, and personal dilemma in predicting the intention of a particular group of urban citizens to switch from using private cars to using mass public transportation. This research uses the predictive correlational design, while the research data are analyzed using the multiple linear regression technique in order to identify the main effects and interaction effects of variables which may serve as the predictors of intention. This research involves 280 university students (111 males and 169 females, with M age = 20.90 years old and SD age = 1.943 years old) who live in Jakarta, the capital city of Indonesia, and its surrounding urban areas as samples. The research finds that, among the Big Five personality traits, conscientiousness is the only trait which can significantly predict the intention of private car users, while sedentariness is not capable of predicting such intention. The research also finds that losses in terms of time and safety incurred from the use of private cars can lead to a much stronger intention to switch to mass public transportation. The implications of this research on the development of policies regarding transportation are elaborated in the final section of this paper.

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“…It is not easy to answer these questions, but two aspects seem to be quite clear. First, the quality of life in the community has to be conceptualized considering not only the availability of resources and services, but also reflecting on the real accessibility and usability of such resources and services, in terms of time, knowledge, and competence achieved by the individuals in dealing with urban congestion and complexity (Nuvolati 2009). According to Sen (1993) an approach based on the functionings and capabilities of the individuals in accessing and using the resources seems to be more appropriate than one simply grounded on the availability of commodities and services in the city.…”

Section: Discussionmentioning

confidence: 99%