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Modeling ICT Perceptions and Views of Urban Front Liners

Author

Listed:
  • Galit Cohen-Blankenstain

    (Harvard University)

  • Peter Nijkamp

    (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)

  • Kees van Montfort

    (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)

Abstract

This paper offers both a conceptual and an operationalmodel that aims to map out the causes and implicationsof ICT perceptions and views of urban policy makersand/or administrative officials (denoted as urban frontliners). This is followed by the presentation of an opera-tional path model, viz. a linear structural equations model(Lisrel). The model serves to describe and test the rela-tionships between perceptions of the city, policy makers'beliefs about ICT and the associated urban ICT policy.According to the model, respondents that perceive theircity as having many urban functions (e.g., commercialcentre, service centre, higher education centre) have moreawareness to various ICT tools and are likely to consider amultiplicity of ICT measures as relevant to their city. Re-spondents that consider their city as having severe bottle-necks (e.g., traffic congestion, housing shortage) are lesslikely to think of ICT measures and ICT -related goals asrelevant to their city, nor that the municipality impactssignificantly on ICT in the city. Furthermore, respondentsthat perceive their city as suffering from many socio-economic problems (unemployment, ageing population,industrial decline and so on), are likely to consider manyICT tools as relevant to their city, although they have a lowawareness of the specific tools to be deployed. Finally,respondents who believe that ICT will affect significantly(and positively) the city and its administration, tend to at-tach a high municipal influence on ICT, and consider manyICT initiatives as relevant to their city.

Suggested Citation

  • Galit Cohen-Blankenstain & Peter Nijkamp & Kees van Montfort, 0000. "Modeling ICT Perceptions and Views of Urban Front Liners," Tinbergen Institute Discussion Papers 03-023/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20030023
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    References listed on IDEAS

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    1. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(1), pages 35-50, January.
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    3. Galit Cohen & Peter Nijkamp, 2002. "Information and Communication Technology Policy in European Cities: A Comparative Approach," Environment and Planning B, , vol. 29(5), pages 729-755, October.
    4. Galit Cohen‐Blankshtain & Peter Nijkamp, 2004. "The Appreciative System of Urban ICT Policies: An Analysis of Perceptions of Urban Policy Makers," Growth and Change, Wiley Blackwell, vol. 35(2), pages 166-197, March.
    5. Edward L. Glaeser, 1998. "Are Cities Dying?," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 139-160, Spring.
    6. Mokhtarian, Patricia & Varma, Krishna, 1998. "The Trade-Off Between Trips and Distance Traveled in Analyzing the Emissions Impacts of Center-Based Telecommuting," Institute of Transportation Studies, Working Paper Series qt43b756qg, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Geenhuizen, Marina van & Nijkamp, Peter, 2005. "Death of distance and agglomeration forces of firms in the urban e-economy : an artificial intelligence approach using rough set analysis," Serie Research Memoranda 0007, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Jan Öhman, 2010. "Towards a Digital (Societal) Infrastructure?," Urban Studies, Urban Studies Journal Limited, vol. 47(1), pages 183-195, January.
    3. Peter Nijkamp, 2008. "Xxq Factors For Sustainable Urban Development: A Systems Economics View," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 2(1), pages 1-19, June.

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    More about this item

    Keywords

    ICT; perceptions; Lisrel model; urban decisionmakers;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General

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