Sensing global changes in local patterns of energy consumption in cities during the early stages of the COVID-19 pandemic

Rowe, Francisco; Robinson, Caitlin; Patias, Nikos

doi:10.1016/j.cities.2022.103808

Cited by 21 publications

(9 citation statements)

References 56 publications

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“…Additional explanatory variables in the model consist of a range of temporal, demographic, store characteristic and weather variables, each obtained from the supplementary datasets outlined in section 4 . Following Rowe et al (2022) , a natural spline, with 1 knot, was incorporated to account for seasonality and temporal autocorrelation patterns.…”

Section: Methodsmentioning

confidence: 99%

How consumer behaviours changed in response to COVID-19 lockdown stringency measures: A case study of Walmart

2023

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Section: Methodsmentioning

confidence: 99%

How consumer behaviours changed in response to COVID-19 lockdown stringency measures: A case study of Walmart

2023

Self Cite

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“…AMIs were used to analyse mobility trends and scenarios, and assess the effectiveness of mobility restrictions on human mobility [5,[21][22][23][24][25]. AMIs were also employed in studying COVID-19 transmission [26], pandemic indicators [26,27], air quality [28,29] and economic recovery [30], among other topics. Big Tech companies such as Google and Apple shared reports on the aggregated mobility changes of the population at a city or regional scale between 2020 and 2022 [31,32].…”

Section: Aggregated Mobility Indicesmentioning

confidence: 99%

Investigating the potential of aggregated mobility indices for inferring public transport ridership changes

Lizana,

Choudhury,

Watling

2024

PLoS ONE

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Aggregated mobility indices (AMIs) derived from information and communications technologies have recently emerged as a new data source for transport planners, with particular value during periods of major disturbances or when other sources of mobility data are scarce. Particularly, indices estimated on the aggregate user concentration in public transport (PT) hubs based on GPS of smartphones, or the number of PT navigation queries in smartphone applications have been used as proxies for the temporal changes in PT aggregate demand levels. Despite the popularity of these indices, it remains largely untested whether they can provide a reasonable characterisation of actual PT ridership changes. This study aims to address this research gap by investigating the reliability of using AMIs for inferring PT ridership changes by offering the first rigorous benchmarking between them and ridership data derived from smart card validations and tickets. For the comparison, we use monthly and daily ridership data from 12 cities worldwide and two AMIs shared globally by Google and Apple during periods of major change in 2020–22. We also explore the complementary role of AMIs on traditional ridership data. The comparative analysis revealed that the index based on human mobility (Google) exhibited a notable alignment with the trends reported by ridership data and performed better than the one based on PT queries (Apple). Our results differ from previous studies by showing that AMIs performed considerably better for similar periods. This finding highlights the huge relevance of dealing with methodological differences in datasets before comparing. Moreover, we demonstrated that AMIs can also complement data from smart card records when ticketing is missing or of doubtful quality. The outcomes of this study are particularly relevant for cities of developing countries, which usually have limited data to analyse their PT ridership, and AMIs may offer an attractive alternative.

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“…There has been a worldwide tendency to increase the use of different types of energy during 1990-2019; in the period of the pandemic, the consumption pattern of people and companies changed due to the decrease in commercial, industrial and transport activity in the domestic sphere [55,56]. In addition, it can be noted that there is a propensity for the need of using cleaner fuels by 2050 and that total consumption tends to stabilize.…”

Section: Global Energy Strategiesmentioning

confidence: 99%

Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps

2022

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Ports are of great strategic importance for a country. Nowadays, compliance with environmental requirements is required, forcing the migration towards clean energies. Therefore, it is necessary for emerging ports, as those in developed countries, to incorporate in their policies the use of electric power in the machinery that moves containers in the terminals. To learn how the problem is addressed in other countries, an extensive bibliographic review is presented. Then, the energy policies and criteria of a group of ports in an emerging country and a European port are studied. Subsequently, in order to determine the gaps between the ports investigated, the layout of the cargo yard of each of the terminals is optimized; the emissions of co2 and other ghg gases are calculated; and finally, the decrease in emissions when switching from diesel to electricity is estimated. The strategic and operational gaps related to energy management between the emerging and developed countries are discussed. It is concluded that research is needed to investigate how these initiatives impact the city and improve other sustainable aspects.

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Sensing global changes in local patterns of energy consumption in cities during the early stages of the COVID-19 pandemic

Cited by 21 publications

References 56 publications

How consumer behaviours changed in response to COVID-19 lockdown stringency measures: A case study of Walmart

How consumer behaviours changed in response to COVID-19 lockdown stringency measures: A case study of Walmart

Investigating the potential of aggregated mobility indices for inferring public transport ridership changes

Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps

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