A Treatise on the Geographical Scale of Agglomeration Externalities and the MAUP

2010 ◽  
pp. 19-39
Author(s):  
Martijn J. Burger ◽  
Frank G. van Oort ◽  
Bert van der Knaap
Keyword(s):  
Employment Growth ◽  
Methodological Problem ◽  
Modifiable Areal Unit Problem ◽  
Areal Unit ◽  
Agglomeration Externalities ◽  
Geographical Scale ◽  
Scale Of Analysis

In this article, we test to what extent the Modifiable Areal Unit Problem (MAUP) moderates the effect of agglomeration externalities on areal sectoral employment growth by varying the initial geographical scale of analysis. Using spatial cross-regressive modelling, we find different effects of agglomeration forces across geographical scales. As the MAUP is a theoretical as well as a methodological problem, research should not only work with proper statistical specifications, but also relate this more explicitly to hypotheses concerning the geographical scale at which agglomeration externalities operate. .

Modifiable Areal Unit Problem

2021 ◽  
pp. 854-855
Author(s):  
Martin A. Andresen
Keyword(s):  
Modifiable Areal Unit Problem ◽  
Areal Unit

scholarly journals Exploring the Modifiable Areal Unit Problem in Spatial Water Assessments: A Case of Water Shortage in Monsoon Asia

Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 898-917 ◽  
Author(s):  
Aura Salmivaara ◽  
Miina Porkka ◽  
Matti Kummu ◽  
Marko Keskinen ◽  
Joseph Guillaume ◽  
...  
Keyword(s):  
Water Shortage ◽  
Modifiable Areal Unit Problem ◽  
Areal Unit ◽  
Monsoon Asia

Metrics of Urban Form and the Modifiable Areal Unit Problem

2005 ◽  
Vol 1902 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Ming Zhang ◽  
Nishant Kukadia
Keyword(s):  
Data Aggregation ◽  
Urban Form ◽  
Mode Choice ◽  
Empirical Modeling ◽  
Modifiable Areal Unit Problem ◽  
Areal Unit ◽  
Block Level ◽  
A Cell ◽  
Using Data ◽  
Network Pattern

There is growing interest in incorporating urban form indicators into transportation planning and travel analysis. These indicators typically are measured at a certain level of spatial aggregation (e.g., traffic analysis zone) and therefore are subject to the modifiable areal unit problem (MAUP) known primarily in the statistical and geographic literature but generally overlooked by transportation researchers. The presence of the MAUP can cause serious inconsistency in analytical results and consequently misinform policy making. This study diagnoses the MAUP in measuring urban form through empirical modeling of travel mode choice in the Boston, Massachusetts, region. Using data aggregated in grids with five cell sizes and at the transportation analysis zone, the census block group, and the block level, the study explores the sensitivity of coefficient estimates for population density, network pattern, and land use balance to data aggregation in predicting mode choice decisions. Having confirmed the presence of the MAUP, the study discusses three approaches for dealing with it. Using a grid with a cell size of 1/2 mi appears to be the most desirable method of data aggregation among the eight methods studied. The suggested improvements in methodology will help advance the inquiry on the link between urban form and travel.

scholarly journals S-maup: Statistical test to measure the sensitivity to the modifiable areal unit problem

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207377 ◽  
Author(s):  
Juan C. Duque ◽  
Henry Laniado ◽  
Adriano Polo
Keyword(s):  
Statistical Test ◽  
Modifiable Areal Unit Problem ◽  
Areal Unit

scholarly journals Agglomeration Externalities and Sectoral Employment Growth in Cities

2016 ◽  
Vol 5 (2) ◽  
pp. 1-15
Author(s):  
Ayse Saime Doner
Keyword(s):  
Employment Growth ◽  
Initial Level ◽  
Regional Growth ◽  
Economic Activities ◽  
Employment Level ◽  
Regional Employment ◽  
Agglomeration Externalities ◽  
Positive Effects ◽  
Economic Development And Growth ◽  
The Impact

Firms benefit some external effects resulting from the concentration of economic activities in certain regions. These effects called “agglomeration economies” or “agglomeration externalities” are mainly divided into three categories – MAR, Jacobs and Porter externalities –, and regarded as the determinant factors of regional economic development and growth. This study analyzes the impact of agglomeration externalities on employment growth using Turkish data of 43 sectors operating in 81 Turkish cities between years 2001 and 2007. OLS regression analyses are repeated for each sector. As far as the MAR externalities are concerned, their impact on employment growth is found negative in 23 sectors while Jacobs externalities have significant and positive effects only on 4 sectors, most of which are from service sectors. As for Porter externalities, they prove to have positive effect on the regional employment growth for 16 sectors. Moreover, urbanization externalities are found to affect the regional growth positively in 4 sectors and negatively in 1 sector. While the impact of the initial level of regional labor supply is found positive, the initial level of regional employment level has negative effect on employment growth. Finally, the share of high education level in cities is found to have almost no effect on regional growth.

The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose

Urban Studies ◽  
2018 ◽  
Vol 56 (4) ◽  
pp. 795-817 ◽  
Author(s):  
Liya Yang ◽  
Lingqian Hu ◽  
Zhenbo Wang
Keyword(s):  
Urban Planning ◽  
Built Environment ◽  
Empirical Research ◽  
Travel Behaviour ◽  
Modifiable Areal Unit Problem ◽  
Areal Unit ◽  
Trip Chaining ◽  
Logistic Regressions ◽  
Beijing China ◽  
The Ideal

Empirical research that examines the built environment and travel behaviour has frequently found inconsistent results, which can be attributed to the modifiable areal unit problem (MAUP) and to different treatments of travel purposes. This study considers these two important issues simultaneously in investigating the association between the built environment and travel behaviour in Beijing, China. Using tours as the analysis unit of travel, this study classifies three tour purposes: subsistence, maintenance and recreation, and identifies seven different spatial units to address the MAUP. Based on data from the 2010 Beijing Comprehensive Travel Survey, this study uses logistic regressions to estimate the primary tour mode and tour complexity. The results identify the ‘ideal’ unit at which the built environment has the greatest association with tours of specific purposes. Such results inform how urban planning and transportation policies can effectively influence travel.

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