The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons

Zipf, George Kingsley

doi:10.2307/2087063

Cited by 797 publications

(556 citation statements)

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“…Since the 1940s, various models such as gravity model (Zipf, 1946), intervening opportunity model (Stouffer, 1940), radiation model (Simini et al, 2012), rank-based model (Noulas et al, 2012) and population-weighted opportunities (PWO) model (Yan et al, 2014) have been proposed for estimation of OD matrix. In this study, the three following models have been utilized to compare their performance for LBSN data analysis:…”

Section: Methodsmentioning

confidence: 99%

Intra-Urban Movement Flow Estimation Using Location Based Social Networking Data

Kheiri

Karimipour

Forghani

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook, which have attracted an increasing number of users and greatly enriched their urban experience. Location-based social network data, as a new travel demand data source, seems to be an alternative or complement to survey data in the study of mobility behavior and activity analysis because of its relatively high access and low cost. In this paper, three OD estimation models have been utilized in order to investigate their relative performance when using Location-Based Social Networking (LBSN) data. For this, the Foursquare LBSN data was used to analyze the intra-urban movement behavioral patterns for the study area, Manhattan, the most densely populated of the five boroughs of New York city. The outputs of models are evaluated using real observations based on different criterions including distance distribution, destination travel constraints. The results demonstrate the promising potential of using LBSN data for urban travel demand analysis and monitoring.

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Section: Methodsmentioning

confidence: 99%

Intra-Urban Movement Flow Estimation Using Location Based Social Networking Data

Kheiri

Karimipour

Forghani

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Having multiple time periods, in successive years no less, is an advantage over most static gravity models. 12 The time dimension permits the use of time variation in addition to spatial variation in attractive and repulsive forces and the capture of unobserved location 8 See Zipf (1946) for a seminal example, and Greenwood (1975) for a survey.…”

Section: Datamentioning

confidence: 99%

Cities and Labor Market Dynamics

Mangum

2015

SSRN Journal

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People live and work in local markets spatially distinct from one another, yet space is absent from most economic models of the national labor market. Workers choose the markets in which they will participate, but there are costs to mobility. Furthermore, cities are heterogeneous in a number of dimensions, including their local labor market productivity, their housing supply, and their offering of amenities.

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“…Thus, in his most famous paper, Zipf (1946) essentially picked up and formalised Ravenstein's 'law' no. 2, in what was to become known as 'Zipf's law': M = (P1 x P2) / D, or, the intensity of population movement between any two places is proportional to the product of their respective populations P1 and P2 divided by the distance that separates them.…”

Section: Early Contributionsmentioning

confidence: 99%

Political Economy Approach

Brudner¹

2009

The SAGE Glossary of the Social and Behavioral Sciences

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The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons

Cited by 797 publications

References 0 publications

Intra-Urban Movement Flow Estimation Using Location Based Social Networking Data

Intra-Urban Movement Flow Estimation Using Location Based Social Networking Data

Cities and Labor Market Dynamics

Political Economy Approach

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