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Employment Location in Cities and Regions

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Cover of 'Employment Location in Cities and Regions'

Table of Contents

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    Book Overview
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    Chapter 1 Employment Location Models: An Overview
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    Chapter 2 Employment and Labour in Urban Markets in the IRPUD Model
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    Chapter 3 Modelling the Economic Impacts of Transport Changes: Experience and Issues
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    Chapter 4 A Population-Employment Interaction Model as Labour Module in TIGRIS XL
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    Chapter 5 Simulating the Spatial Distribution of Employment in Large Cities: With Applications to Greater London
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    Chapter 6 Complex Urban Systems Integration: The LEAM Experiences in Coupling Economic, Land Use, and Transportation Models in Chicago, IL
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    Chapter 7 Employment Location Modelling Within an Integrated Land Use and Transport Framework: Taking Cue from Policy Perspectives
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    Chapter 8 Integrating SCGE and I-O in Multiregional Modelling
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    Chapter 9 Interjurisdictional Competition and Land Development: A Micro-Level Analysis
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    Chapter 10 Occupation, Education and Social Inequalities: A Case Study Linking Survey Data Sources to an Urban Microsimulation Analysis
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    Chapter 11 Firm Location Choice Versus Job Location Choice in Microscopic Simulation Models
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    Chapter 12 Modelling Firm Failure: Towards Building a Firmographic Microsimulation Model
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    Chapter 13 Choice Set Formation in Microscopic Firm Location Models
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    Chapter 14 Employment Location Models: Conclusions
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policy
1 policy source

Citations

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5 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Employment Location in Cities and Regions
Published by
Springer Berlin Heidelberg, November 2012
DOI 10.1007/978-3-642-31779-8
ISBNs
978-3-64-231778-1, 978-3-64-231779-8
Editors

Pagliara, Francesca, de Bok, Michiel, Simmonds, David, Wilson, Alan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Ph. D. Student 4 22%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Social Sciences 6 33%
Engineering 5 28%
Economics, Econometrics and Finance 1 6%
Earth and Planetary Sciences 1 6%
Business, Management and Accounting 1 6%
Other 0 0%
Unknown 4 22%