Economic growth and urban metamorphosis: A quarter century of transformations within the metropolitan area of Bucharest

Abstract

This paper concentrates explicitly on examining the structural and functional transformations occurring within the metropolitan area of Bucharest, resulting from sustained economic growth during the past quarter century, by conducting a time analysis, spanning the entire period since the fall of the communist regime in late 1989.Cities in developed countries of Western Europe and Asia experienced rapid economic growth during the second half of the 20th century and exhibited novel patterns of evolution in terms of urban form and associated functional characteristics. Lately, these patterns have become manifest in Bucharest as well. However, transformations in human, social, residential, and transportation supply capital are difficult to observe directly. Hence, our methodology concentrates on studying interactions between several proxies connected to economic development within the metropolitan area of Bucharest. This paper should be read as an exploratory study that buttresses the assumption that improved economic well-being, when accompanied by the transition between a centrally planned economy to a market economy, increases motorization rates, while at the same time triggering a sharp decline in the use of public transport and contributing to aggressive urban sprawl processes. Moreover, hopefully it will guide future research dedicated to forecasting urban expansion paths and their determinants. Hopefully, it also informs policy design intended to promote sustainable urban mobility and accessibility.

Attitudinal dataset for mediating the effects of public acceptance on bus reform scheme in a developing country context

“…The dataset presents in this paper containing the socio-demographic characteristics, travel attributes, and attitudinal indicators. The dataset obtained from the questionnaire survey using Stated Preference (SP) experiment [1] , [2] , [3] , [4] , [5] . Target respondents were commuters, commercial visitors, employees and students within the proposed bus reform policy so-called “Trans Koetaradja” (hereafter “TK”).…”

“…The CFA model as a part of the multiple indicators multiple causes model proposed by [14] , [15] systematically the CFA or known as a measurement model, given by: Where y i is a vector of observable attitudinal indicators, ηi is a vector of mediators (latent variables), are matrices of unknown parameters to be calibrated, and the terms i are vector of measurement errors. More application related to the latent variable modeling within a broad of travel behavioral arena can be surveyed in the previous studies done by [1] , [2] , [3] , [4] , [5] .…”

“…id="M1" xmlns:mml="http://www.w3.org/1998/Math/MathML">yi=Ληi+ζiWhere y i is a vector of observable attitudinal indicators, ηi is a vector of mediators (latent variables), Λ are matrices of unknown parameters to be calibrated, and the terms ζ i are vector of measurement errors. More application related to the latent variable modeling within a broad of travel behavioral arena can be surveyed in the previous studies done by [1], [2], [3], [4], [5].…”

Understanding Household's Travel Costs Budget Frontier in Banda Aceh, Indonesia

“…Therefore, policies reflecting the needs of certain income groups need to be formulated to ensure impartiality during the implementation of the full-charge in the bus system and make it more affordable. It is also better to understand the travel behavior of residents to achieve successful and more efficient transport planning, particularly dealing with behavioral adopting the commuting trip in emerging cities [18][19][20][21].…”

Travel Cost Budget and Ability of Urban Bus Users to Pay Considering the Income Classes in Indonesia

“…The uncontrolled increase in personal mobility has, therefore, led to unmaintainable externalities and also significantly influencing the quality of life within the city due to several factors such as the escalation of travel time, additional fuel consumption, and deterioration of the city environment, especially noise and emission level. Several studies have, however, been conducted in relation to congestion in Jakarta (Sugiarto et al, 2014a;2019), Rumania (Tosa et al, 2018a;2018b), and Banda Aceh (Saleh et al, 2017;Anggraini et al, 2017).…”