Characterizing the Composition of Economic Activities in Central Locations

Ravulaparthy, Srinath; Goulias, Konstadinos G.

doi:10.3141/2430-10

Cited by 19 publications

(19 citation statements)

References 25 publications

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“…Urban economic activities and customer behaviors play an important role in urban commercial analysis. Ravulaparthy and Goulias [95] introduce the link-based network centrality indices (e.g., closeness and accessibility) to represent location properties. These centrality indices exhibit unique geometric properties delineating network regions and critical locations to guide urban planning.…”

Section: ) Urban Economic Activitiesmentioning

confidence: 99%

Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey

et al. 2019

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Crowdsourced business intelligence (CrowdBI), which leverages the crowdsourced usergenerated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment, has become a surging research topic in recent years. Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product improvement, demand forecasting and trend analysis, competitive intelligence, business popularity analysis and site recommendation, and urban commercial analysis. This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. It also investigates novel application areas as well as the key challenges and techniques of CrowdBI. Furthermore, we make discussions about the future research directions of CrowdBI.

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Section: ) Urban Economic Activitiesmentioning

confidence: 99%

Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey

et al. 2019

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“…Space syntax has formed the basis of many other adapted approaches to analytical urban design (e.g., Karimi 2012). This present study, however, focuses almost entirely on primal graphs because they retain all the geographic, spatial, metric information essential to urban form and design that space syntax disregards in its dual graphs (Ratti 2004;Ravulaparthy and Goulias 2014).…”

Section: Structural Measures Of Urban Form: Networkmentioning

confidence: 99%

Methods and Measures for Analyzing Complex Street Networks and Urban Form

Boeing

2017

SSRN Journal

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Recent years have witnessed an explosion in the science of networks. Much of this research has been stimulated by advances in statistical physics and the study of complex systems-that is, systems that comprise many interrelated components whose interactions produce unpredictable large-scale emergent behavior. Cities are complex systems formed both through decentralized, bottom-up, self-organizing processes as well as through top-down planning interventions. Humans shape their urban ecosystems (the built environment, institutions, cultures, etc.) and are in turn shaped by them. Cities comprise numerous interdependent components that interact through networks-social, virtual, and physical-such as street networks. This dissertation examines urban street networks, their structural complexity (emphasizing density, connectedness, and resilience), and how planning eras and design paradigms shape them. Interventions into a complex system often have unpredictable outcomes, even if the intervention is minor, as effects compound or dampen nonlinearly over time. Such systems' capacity for novelty, through emergent features that arise from their components' interactions, also makes them unpredictable. These interactions and the structure of connections within a system are the subject of network science. In cities, the structural characteristics of circulation networks influence how a city's physical links organize its human dynamics. Urban morphologists have long studied the built form's complexity and, following from scholars such as Jane Jacobs and Christopher Alexander, various urban design paradigms today speak both directly and indirectly to the value of complexity in the built environment. However, these claims are often made loosely, without formally connecting with theory, implications, or evaluation frameworks. 2 This dissertation develops an interdisciplinary typology of measures for assessing the complexity of urban form and design, particularly emphasizing street network analytic measures. Street network analysis has held a prominent place in network science ever since Leonhard Euler presented his famous Seven Bridges of Königsberg problem in 1736. The past 15 years have been no exception as the growth of interdisciplinary network science has included numerous applications to cities and their street networks. These studies have yielded new understandings of urban form and design, transportation flows and access, and the topology and resilience of urban street networks. However, current limitations of data availability, consistency, and technology have resulted in four substantial shortcomings: small sample sizes, excessive network simplification, difficult reproducibility, and the lack of consistent, easy-to-use research tools. While these shortcomings are by no means fatal, their presence can limit the scalability, generalizability, and interpretability of empirical street network research. To address these challenges, this dissertation presents OSMnx, a new tool to download and analyze street networks and other ...

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“…Recent studies have found that cities can be clustered and classified according to their network's structural characteristics (10)(11)(12)(13)(14). In other words, cities' circulation networks exhibit spatial signatures that can be quantified and operationalized to differentiate types of places.…”

Section: Introductionmentioning

confidence: 99%

The Morphology and Circuity of Walkable and Drivable Street Networks

Boeing

2018

SSRN Journal

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Circuity, the ratio of network distances to straight-line distances, is an important measure of urban street network structure and transportation efficiency. Circuity results from a circulation network's configuration, planning, and underlying terrain. In turn, it impacts how humans use urban space for settlement and travel. Although past research has examined overall street network circuity, researchers have not studied the relative circuity of walkable versus drivable circulation networks. This study uses OpenStreetMap data to explore relative network circuity. We download walkable and drivable networks for 40 US cities using the OSMnx software, which we then use to simulate four million routes and analyze circuity to characterize network structure. We find that walking networks tend to allow for more direct routes than driving networks do in most cities: average driving circuity exceeds average walking circuity in all but four of the cities that exhibit statistically significant differences between network types. We discuss various reasons for this phenomenon, illustrated with case studies. Network circuity also varies substantially between different types of places. These findings underscore the value of using network-based distances and times rather than straight-line when studying urban travel and access. They also suggest the importance of differentiating between walkable and drivable circulation networks when modeling and characterizing urban street networks: although different modes' networks overlap in any given city, their relative structure and performance vary in most cities.

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Characterizing the Composition of Economic Activities in Central Locations

Cited by 19 publications

References 25 publications

Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey

Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey

Methods and Measures for Analyzing Complex Street Networks and Urban Form

The Morphology and Circuity of Walkable and Drivable Street Networks

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