Urban retail location: Insights from percolation theory and spatial interaction modeling

Piovani, Duccio; Molinero, Carlos; Wilson, Alan

doi:10.1371/journal.pone.0185787

Cited by 27 publications

(31 citation statements)

References 36 publications

(86 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fundamental idea is to use the individual movement data as a proxy to reveal the structure and organisation of the city. As one of the most fundamental measures, network centrality has been used for detecting hierarchical spatial organisation (Piovani et al, 2017) and functional centres (Li and Phelps, 2018). A number of empirical studies have found that functional network centrality can effectively capture location advantage in a city and reflect intra-urban variation of land use and transport intensity and hierarchy (Roth et al, 2011, Wang et al, 2014.…”

Section: Tod and Centrality Of Movement Networkmentioning

confidence: 99%

Network criticality and the node-place-design model: Classifying metro station areas in Greater London

Zhang

Marshall

Manley

2019

Journal of Transport Geography

View full text Add to dashboard Cite

Centralisation of activities and developments around metro station areas is a key transit-oriented development (TOD) policy to encourage more public transport travel through providing maximum access to passengers, thereby enhancing economic efficiency, health, well-being and social inclusion. The node-place-design model is an analytical approach, which investigates the interaction between land use, transportation and the walking friendliness around station areas. Nevertheless, current research focuses on the role station areas plays at the local scale, and little consideration is given to the strategic network (system) level. In this research, we combine a strategic network indicator (criticality) with the node-place-design model to gain deeper insights into London metro station areas in terms of their transit-oriented-development at both local and system levels. Our research has three principal findings: first, most of station areas in Greater London show balanced situations between transport and land use development, except for some stations with a non-walking friendly environment such as Victoria station. Second, the two-tier approach finds that the system criticality of each station area can vary substantially even within the same cluster grouped by the original nodeplace-design model. Therefore, identifying station groups with relatively high network criticality and relatively low node-place-design score is of potential value. The promising transport connection and less-developed conditions of those station areas could help policymakers locate an intensificationdiversification TOD group. Conversely, locations with high node-place-design values but low criticality could point to stations suitable for network expansion (new lines or interchanges). Third, the result reconfirms the value of introducing the third dimensiondesigninto the TOD evaluation of stations at the local scale. The relatively low correlation between node and design value is consistent with previous findings that a transport service-intensive and functionally diverse metro station area does not necessarily produce an accessible friendly walking environment. Overall, the paper provides a platform for further studies integrating strategic network and node-place-design attributes.

show abstract

Section: Tod and Centrality Of Movement Networkmentioning

confidence: 99%

Network criticality and the node-place-design model: Classifying metro station areas in Greater London

Zhang

Marshall

Manley

2019

Journal of Transport Geography

View full text Add to dashboard Cite

show abstract

“…4. Road network characterization becomes the main driver of activities in urban ecosystems and structuring factors in urban dynamics towards development distribution of gravity-based retail locations, namely road network location and cluster size depending on the threshold and scale of exponents (Piovani et al, 2017). Likewise, Ji et al (2013) that the optimization model of the location of regional express distribution centers is based on the reality of road networks by minimizing distance.…”

Section: Resultsmentioning

confidence: 99%

Distribution Intensity Model of Retail Logistics Outlets in Metropolitan Scale Cities Based on Spatial Structures

Aksa¹,

Adisasmita²,

Ramli³

et al. 2019

J. Eng. Appl. Sci.

View full text Add to dashboard Cite

This study uses the term distribution intensity of Retail Logistics Outlets (RLO) to see its effect on the dynamics of the development of RLO in the metropolitan area. RLO in Makassar city contributes to the formation of spatial structures. This is seen as a change in the function of the area into services by mushrooming RLO in areas with high density levels. The cause of the change in the emergence of RLO as a pull factor in the movement system in general, so that, it impacts spatial interactions. The researcher considers that this is still a new and very interesting thing to do in this research. The focus is on the effect of RLO on the development of spatial structures in the Metropolitan city of Makassar using the analysis of the distribution of the nearest neighboring regions and linear regression. The results of this study can provide several references for spatial planners in space control policies towards the development of city logistics.

show abstract

“…The gravity model of flow was proposed by W. Alonso [28] for modelling spatial flow phenomena between regions. It has been extensively used in the literature for modelling international air travel [29], traffic flow in highways [30], retailing [31,32] and telecommunications across cities [33], among others.…”

Section: Related Workmentioning

confidence: 99%

“…The gravity model of flow has been extensively used to model human mobility in different contexts [28,29,33], and in particular for retailing [31,32]. It considers the flow between two nodes (i, j) as directly proportional to some powers of their populations, and inversely proportional to some power of the distance between them:…”

Section: A Gravity Mobility Model For Mall Visitsmentioning

confidence: 99%

Shopping mall attraction and social mixing at a city scale

et al. 2018

View full text Add to dashboard Cite

In Latin America, shopping malls seem to offer an open, safe and democratic version of the public space. However, it is often difficult to quantitatively measure whether they indeed foster, hinder, or are neutral with respect to social inclusion. In this work, we investigate if, and by how much, people from different social classes are attracted by the same malls. Using a dataset of mobile phone network records from 387,152 devices identified as customers of 16 malls in Santiago de Chile, we performed several analyses to study whether malls with higher social mixing attract more people. Our pipeline, which starts with the socioeconomic characterization of mall visitors, includes the estimation of social mixing and diversity of malls, the application of the gravity model of mobility, and the definition of a co-visitation model. Results showed that people tend to choose a profile of malls more in line with their own socioeconomic status and the distance from their home to the mall, and that higher mixing does positively contribute to the process of choosing a mall. We conclude that (a) there is social mixing in malls, and (b) that social mixing is a factor at the time of choosing which mall to go to. Thus, the potential for social mixing in malls could be capitalized by designing public policies regarding transportation and mobility to make some malls strong social inclusion hubs.

show abstract

Urban retail location: Insights from percolation theory and spatial interaction modeling

Cited by 27 publications

References 36 publications

Network criticality and the node-place-design model: Classifying metro station areas in Greater London

Network criticality and the node-place-design model: Classifying metro station areas in Greater London

Distribution Intensity Model of Retail Logistics Outlets in Metropolitan Scale Cities Based on Spatial Structures

Shopping mall attraction and social mixing at a city scale

Contact Info

Product

Resources

About