An evaluation of logistics sprawl in Chicago and Phoenix

Dubie, Melaku; Kuo, Kai C.; Girón-Valderrama, Gabriela del Carmen; Goodchild, Anne

doi:10.1016/j.jtrangeo.2018.08.008

Cited by 19 publications

(11 citation statements)

References 11 publications

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Section: Measuring the Logistics Sprawlmentioning

confidence: 98%

“…In Chicago, the average distance from the mean center for warehousing increased +8.8 km between 1998 and 2013, with the number of warehouses having increased 115% in this period (from 217 to 446) [5]. In Phoenix, between 1998 and 2015, the number of warehouses rose 346% (from 41 to 183), while the LSI increased 15% (from 17.86 km to 20.60 km) [5]. By analyzing data from 64 US metropolitan areas and using the relative distance between two activities, Kang identified that the trend of increasing the distance from the warehouse to business establishments stopped since 2008, as a consequence of the economic recession in the US [26].…”

Section: Measuring the Logistics Sprawlmentioning

confidence: 99%

“…Logistics sprawl (LS) describes the phenomenon of logistics facilities' concentration in peripheral regions of metropolitan areas over time [1], also defined as a land use phenomenon [2], which can be caused by the increase in population density [3], the land price in central areas, and the larger space availability in peripherical areas [4]. Identifying the LS phenomenon leads to understanding aggregated tendencies in urban freight transport and the anticipation of its impacts at a regional level [5]. Logistics sprawl has received attention from academia in recent years [6].…”

Section: Introductionmentioning

confidence: 99%

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Influence of Characteristics of Metropolitan Areas on the Logistics Sprawl: A Case Study for Metropolitan Areas of the State of Paraná (Brazil)

Sousa

Oliveira

2020

Sustainability

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The concentration of warehouses in peripheral regions of metropolitan areas in a time period is called logistics sprawl (LS). Identifying this phenomenon could help to reduce externalities related to urban freight transport, mainly, the distance traveled. This paper examines the contribution of the characteristics of metropolitan areas on the logistics sprawl indicator. A case study was carried out considering data from eight metropolitan areas of the state of Paraná (Brazil). The research method is based on the data collection procedure proposed, centrographic method, and linear regression. The results of the centrographic method reveal a positive LS in four metropolitan areas and a negative LS in three metropolitan areas. In general, the warehouses are close to the highways that cross the metropolitan area. In addition, the size of the metropolitan area has a negative relationship with the number of warehouses and the logistics sprawl indicator. The findings highlight the importance of public policies relating to urban freight transport and land use at a metropolitan level.

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Section: Measuring the Logistics Sprawlmentioning

confidence: 98%

Section: Measuring the Logistics Sprawlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of Characteristics of Metropolitan Areas on the Logistics Sprawl: A Case Study for Metropolitan Areas of the State of Paraná (Brazil)

Sousa

Oliveira

2020

Sustainability

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“…McKinnon, ), then, second, heading further away to strategic places linked to the motorway network, or in dedicated freight centers (Hesse, ). The changing spatial patterns have been extensively studied in recent times (see e.g., Dablanc & Browne, ; Dablanc, Ogilvie, & Goodchild, ; Dubie, Kuo, Giron‐Valderrama, & Goodchild, ; Heitz, Dablanc, & Tavasszy, ; Rodrigue, Dablanc, & Giuliano, ; Aljohani & Thompson, ).…”

Section: The City As a Platform And Laboratory For Logistics Innovationsmentioning

confidence: 99%

Logistics: Situating flows in a spatial context

Heße

2020

Geography Compass

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The origins of logistics lie in military and imperial methods of expansion and control of geographical space. It is principally associated with the more recent contexts of business management and engineering. Logistics systems are now the conveyor belts of the global system of trade, commerce and production, and its associated techniques and strategies aim at optimizing flows and throughput within discrete units (such as firms), in economic networks and across geographical space. Because flows are important determinants for the development of places, logistics has the power to structure territories. Therefore, it has raised considerable interest in the field of geography, not only with regard to cities and their dense agglomeration of people, buildings, and infrastructure but also in geopolitical terms as it fosters the exploration, control, and surveillance of areas. The paper presents a critical account of logistics operations and their relevance for the making (and unmaking) of territories, related policy dimensions, and future challenges for research.

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“…The effective absence of some important freight hubs such as Wuhan led to the imbalance between supply and demand in the freight market of the six provinces of central China, and the vulnerability of their demand network became prominent. Dubie et al found that for the spatial patterns of various logistics activities, a more multi-dimensional and broader perspective is needed [16]. The cyberspace-based structure of freight market demand under the influences of major public health events is one of them.…”

Section: Introductionmentioning

confidence: 99%

Imbalance and breakout in the post-epidemic era: Research into the spatial patterns of freight demand network in six provinces of central China

et al. 2021

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This study aims to explore the freight demand network spatial patterns in six provinces of central China from the perspective of the spread of the epidemic and the freight imbalance and breakout. To achieve this purpose, the big data of “cart search” demand information provided by small and medium freight enterprises on the freight information platform are analyzed. 343,690 pieces of freight demand big data on the freight information platform and Python, ArcGIS, UCINET, and Gephi software are used. The results show that: (1) The choke-point of unbalanced freight demand network is Wuhan, and the secondary choke-points are Hefei and Zhengzhou. (2) In southern China, a chain reaction circle of freight imbalance is formed with Wuhan, Hefei, and Nanchang as the centers. In northern China, a chain reaction circle of freight imbalance is formed with Zhengzhou and Taiyuan as the centers. (3) The freight demand of the six provinces in central China exhibits typical characteristics of long tail distribution with large span and unbalanced distribution. (4) The import and export of freight in different cities vary greatly, and the distribution is unbalanced. This study indicates the imbalance difference, chain reaction, keys and hidden troubles posed by the freight demand network. From the perspectives of freight transfer breakout, freight balance breakout, freight strength breakout, and breakout of freight periphery cities, we propose solutions to breakouts in the freight market in six provinces of central China in the post-epidemic era.

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An evaluation of logistics sprawl in Chicago and Phoenix

Cited by 19 publications

References 11 publications

Influence of Characteristics of Metropolitan Areas on the Logistics Sprawl: A Case Study for Metropolitan Areas of the State of Paraná (Brazil)

Influence of Characteristics of Metropolitan Areas on the Logistics Sprawl: A Case Study for Metropolitan Areas of the State of Paraná (Brazil)

Logistics: Situating flows in a spatial context

Imbalance and breakout in the post-epidemic era: Research into the spatial patterns of freight demand network in six provinces of central China

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