Mobility and Urban Centralities: An Analysis Based on the Motorized Flows Attraction in Belo Horizonte/State of Minas Gerais/Brazil

Lessa, Daniela Antunes; Lobo, Carlos

doi:10.3390/su131810128

Cited by 2 publications

(1 citation statement)

References 30 publications

(45 reference statements)

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“…The scale of these restrictions varied across countries (Simović et al, 2021;Sidorchuk et al, 2020). Much in this area depended on the resource provision of public health systems, on the speed of their prompt response to the sharply increased needs for medical care for the sick (Lessa and Lobo, 2021). At the same time, politics also had an impact on the scale and form of operational response.…”

Section: Introductionmentioning

confidence: 99%

Identification of the similarity of urban mobility country patterns during the period of COVID restrictions: methodology and results

Petrov

Zakharov²

2023

E3S Web of Conf.

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The term “Black Swan” by N. Taleb (Taleb, 2007) well illustrates a sudden, negatively manifesting itself in relation to the surrounding world factor. Actively used since 2015, this concept implies a shock impact on economic and production systems, which include transport and logistics systems. COVID-19 and its negative manifestations are a good example of such a 'black swan’. The serious crisis of the world economic system, which began in February-March 2020 and lasted about 450-600 days, was caused by a total restriction of elementary physical contacts between people and any manifestations of their pedestrian and transport mobility associated with it. The widespread lockdowns served this very purpose. However, lockdowns varied across countries in terms of timing, duration, methodological approaches, the strength of restrictions, and control measures. As a result, the mobility of the urban population varied with the influence of the external environment and was not identical in different cities. This paper presents the results of comparative studies of the urban population mobility dynamics in three European cities: two cities of one country – Moscow and St. Petersburg, and another European capital – Amsterdam. At the same time, the goal was to identify the urban mobility country patterns similarity during the period of COVID restrictions. Two tasks were solved: a cross-country comparison of trends in urban population mobility during 2020-2021 and a comparison of trends in population mobility in two cities of the same country.

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Section: Introductionmentioning

confidence: 99%

Identification of the similarity of urban mobility country patterns during the period of COVID restrictions: methodology and results

Petrov

Zakharov²

2023

E3S Web of Conf.

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Temporal and Spatial Attractiveness Characteristics of Wuhan Urban Riverside from the Perspective of Traveling

Chen

Jia²,

Wu³

et al. 2022

Land

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Improving the attractiveness of urban waterfronts has become an important objective to promote economic development and improve the environmental quality. However, few studies have focused on the inherent characteristics of urban waterfront attractiveness. In this study, mobile phone signaling data and the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) were used to construct the attractiveness evaluation system of the riverside in Wuhan. The OLS (ordinary least squares) regression model was used to analyze the relationship between the POI (point of interest) and the attractiveness of river waterfronts. Furthermore, the high-or-low-value aggregation classification of research units was performed according to attractiveness and the POI indicators to reveal the influencing factors of the attractiveness of the Wuhan urban riverside. Results showed the following. (1) The high-value distribution of attractiveness of the river waterfronts in Wuhan presented regional aggregation characteristics, and the attractiveness of economically developed areas was high. (2) Consumer POIs (CPOIs) and outdoor recreation POIs (RPOIs) had a positive effect on the attractiveness of the riverside in Wuhan, while housing POIs (HPOIs), public service POIs (OPOIs), and the high degree of POI mixing had a negative impact on the attractiveness of the urban riverside. (3) The high–high agglomeration spaces were mainly concentrated in the economically developed areas of the city center, which are mainly open spaces where urban cultural activities are held, while the low–low agglomeration spaces were mostly gathered in the suburban areas. The spatial distribution of the high–low agglomeration spaces, which are mainly green open spaces, was relatively fragmented, while the low–high agglomeration spaces, which are mainly freight terminals, linear walks, and residential areas, were near the city center.

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Mobility and Urban Centralities: An Analysis Based on the Motorized Flows Attraction in Belo Horizonte/State of Minas Gerais/Brazil

Cited by 2 publications

References 30 publications

Identification of the similarity of urban mobility country patterns during the period of COVID restrictions: methodology and results

Identification of the similarity of urban mobility country patterns during the period of COVID restrictions: methodology and results

Temporal and Spatial Attractiveness Characteristics of Wuhan Urban Riverside from the Perspective of Traveling

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