GPS Data Analysis for Understanding Urban Goods Movement

Pluvinet, Pascal; González-Feliu, Jesús; Ambrosini, Christian

doi:10.1016/j.sbspro.2012.03.121

Cited by 39 publications

(11 citation statements)

References 7 publications

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“…The first step in our approach requires the analysis of vehicles travelling around the city to identify the locations of their deliveries. A possible way of achieving it is through the analysis of GPS traces, a kind of data commonly exploited to track the vehicles at the urban level or on long distances [12,[14][15][16][17].…”

Section: Identification Of Vehicles Stopsmentioning

confidence: 99%

“…On the whole, a variety of survey techniques has been commonly used in the last 50 years to deepen this knowledge, as reviewed by Allen et al [10]. Although traditional surveys are the most popular methods, some limits arise and ensuring the quality of data implies an increasing cost both in time and money [12]. In the meanwhile, the possibility of collecting detailed travel information has broadened thanks to developments in Global Positioning System (GPS) technology.…”

Section: Introductionmentioning

confidence: 99%

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Freight distribution in urban areas: a method to select the most important loading and unloading areas and a survey tool to investigate related demand patterns

Diana

Pirra

Woodcock

2020

Eur. Transp. Res. Rev.

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Cities all around the world are observing increasing levels of urban freight activities owing to the growth of internet shopping combined to the traditional distribution to shops, creating additional problems in terms of congestions and environmental impacts. This study, developed within the European Project SUITS framework, aims at showing how Local Authorities can effectively observe freight flows from the demand side. This led to the design, implementation and testing of a spatial cluster analysis approach to understand which are the most important loading/unloading parking spots in an urban setting by processing the GPS traces of a fleet of logistic vehicles. Later field activities should focus on these important areas to maximize the efficiency of the survey. A survey of retailers and shops in such areas to observe delivering activities is then proposed. The whole process, namely the spatial analysis and the field survey, was then tested to the real case of an Italian city (Turin) to assess the potentiality of the methods. The methodology proposed can give useful insights to Local Authorities on a way of monitoring the freight distribution patterns at the more disaggregated individual loading/unloading area.

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Section: Identification Of Vehicles Stopsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Freight distribution in urban areas: a method to select the most important loading and unloading areas and a survey tool to investigate related demand patterns

Diana

Pirra

Woodcock

2020

Eur. Transp. Res. Rev.

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“…Figure 2. Service level edge accessibility (related to congestion and capacity of road infrastructures) for the city of Lima in year 2010 (Metzger et al, 2015) Finally, a simple and "easy to assess" edge indicator is that of average (or geometric mean) speeds of infrastructures (Pluvinet et al, 2012), by infrastructure type, obtained empirically from survey data (Ségalou et al, 2004;Béziat, 2017), and from GPS data collection procedures (Gonzalez-Feliu et al, 2013b). It can also be estimated via modeling techniques and/or probabilistic estimation (Wang et al, 2016(Wang et al, , 2017, among others.…”

Section: Edge Indicatorsmentioning

confidence: 99%

Urban logistics and spatial territorial intelligence indicators: State-of-the-art, typology and implications for Latin American cities

González-Feliu

2018

interfases

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This paper reviews the state of the art in spatial accessibility and attractiveness indicators for urban freight transport and logistics, from a territorial intelligence and analytics viewpoint. It proposes a first typology of indicators and analyzes their potential in Latin American urban planning and development. After presenting the main notions of business intelligence and analytics, as well as a definition of territorial intelligence and analytics, the paper proposes an overview of territorial intelligence indicators, focusing on accessibility and attractiveness indicators, and a typology of five categories of indicators: infrastructure-based indicators, generation-based indexes, distance/ time/cost measures, gravity-based indicators and space-time compatibility indexes. Finally, the main issues for implementing such indicators are presented, in terms of data requirements and potential applications focusing on the Latin American context.

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“…Environmental assessment is usually based on expressing distance by means of the emissions of selected substances, usually CO 2 , NO x , and Pm 10 , using direct emission models expressed as a function of vehicle type and its velocity [7,[56][57][58]. There have also been attempts to assess emissions as a function of vehicle speed and acceleration using GPS data [59]. Therefore, reference to basic parameters of vehicle movement in a road network, such as speed, is confirmed in the research performed to date and in the capabilities of the available analytical instruments.…”

Section: Case Selectionmentioning

confidence: 99%

Applying a Mesoscopic Transport Model to Analyse the Effects of Urban Freight Regulatory Measures on Transport Emissions—An Assessment

Oskarbski

Kaszubowski

2018

Sustainability

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Sustainable urban freight management is a growing challenge for local authorities due to social pressures and increasingly more stringent environmental protection requirements. Freight and its adverse impacts, which include emissions and noise, considerably influence the urban environment. This calls for a reliable assessment of what can be done to improve urban freight and meet stakeholders’ requirements. While changes in a transport system can be simulated using models, urban freight models are quite rare compared to the tools available for analysing private and public transport. Therefore, this article looks at ways to extend Gdynia’s existing mesoscopic transport model by adding data from delivery surveys and examines the city’s capacity for reducing CO2 emissions through the designation of dedicated delivery places. The results suggest that extending the existing model by including freight-specific data can be justified when basic regulatory measures are to be used to improve freight transport. There are, however, serious limitations when an exact representation of the urban supply chain structure is needed, an element which is required for modelling advanced measures.

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GPS Data Analysis for Understanding Urban Goods Movement

Cited by 39 publications

References 7 publications

Freight distribution in urban areas: a method to select the most important loading and unloading areas and a survey tool to investigate related demand patterns

Freight distribution in urban areas: a method to select the most important loading and unloading areas and a survey tool to investigate related demand patterns

Urban logistics and spatial territorial intelligence indicators: State-of-the-art, typology and implications for Latin American cities

Applying a Mesoscopic Transport Model to Analyse the Effects of Urban Freight Regulatory Measures on Transport Emissions—An Assessment

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