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Urban Development and Transportation: Investigating Spatial Performance Indicators of 12 European Union Coastal Regions

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  • Paraskevas Nikolaou

    (School of Rural & Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Socrates Basbas

    (School of Rural & Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

Urbanization is one of the most dominant economic and social changes of the 20th century. This phenomenon brings about rapid urban development, which is inextricably linked to transport development. In order to understand this relationship, it is important to analyze the spatial spillover effects of the phenomenon in the urban environment. This study analyzes the spatial performance, in terms of urban development, of 12 European Union regions from five European countries with coastal areas by incorporating spatial data such as length of road network, population distribution, land uses, and other factors. Key performance indicators have been developed for evaluating the structural development model of the regions (e.g., dense or sprawl development). In addition, the incorporation of spatial spillover effects in the evaluation of the regions was conducted by the extended spatial data envelopment analysis (SDEA) method. The results of SDEA identified the best and worst-performing regions in terms of urban growth. Finally, this study implements a target-setting approach where under-performing regions can best perform. Based on the target-setting approach, local authorities can set realistic targets for improving the structural model that the regions are following.

Suggested Citation

  • Paraskevas Nikolaou & Socrates Basbas, 2023. "Urban Development and Transportation: Investigating Spatial Performance Indicators of 12 European Union Coastal Regions," Land, MDPI, vol. 12(9), pages 1-21, September.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1757-:d:1236843
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Geoff Boeing & Carl Higgs & Shiqin Liu & Billie Giles-Corti & James F Sallis & Ester Cerin & Melanie Lowe & Deepti Adlakha & Erica Hinckson & Anne Vernez Moudon & Deborah Salvo & Marc A Adams & Ligia , 2022. "Using Open Data and Open-Source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities," Papers 2205.05240, arXiv.org.
    3. Luc Anselin & Sergio J. Rey, 2010. "Perspectives on Spatial Data Analysis," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 1-20, Springer.
    4. Cameron, I. & Lyons, T. J. & Kenworthy, J. R., 2004. "Trends in vehicle kilometres of travel in world cities, 1960-1990: underlying drivers and policy responses," Transport Policy, Elsevier, vol. 11(3), pages 287-298, July.
    5. Paraskevas Nikolaou & Socrates Basbas & Ioannis Politis & Georgios Borg, 2020. "Trip and Personal Characteristics towards the Intention to Cycle in Larnaca, Cyprus: An EFA-SEM Approach," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    6. Kritsana Kityuttachai & Nitin Kumar Tripathi & Taravudh Tipdecho & Rajendra Shrestha, 2013. "CA-Markov Analysis of Constrained Coastal Urban Growth Modeling: Hua Hin Seaside City, Thailand," Sustainability, MDPI, vol. 5(4), pages 1-21, April.
    7. Liang Zhang & Linlin Zhang & Xue Liu, 2022. "Evaluation of Urban Spatial Growth Performance from the Perspective of a Polycentric City: A Case Study of Hangzhou," Land, MDPI, vol. 11(8), pages 1-20, July.
    8. Olga Tzanni & Paraskevas Nikolaou & Stella Giannakopoulou & Apostolos Arvanitis & Socrates Basbas, 2022. "Social Dimensions of Spatial Justice in the Use of the Public Transport System in Thessaloniki, Greece," Land, MDPI, vol. 11(11), pages 1-26, November.
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    Cited by:

    1. Nikolaos Gavanas & Konstantina Anastasiadou & Eftihia Nathanail & Socrates Basbas, 2024. "Transport Policy Pathways for Autonomous Road Vehicles to Promote Sustainable Urban Development in the European Union: A Multicriteria Analysis," Land, MDPI, vol. 13(11), pages 1-24, October.

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