IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v39y2007i9p2086-2898.html
   My bibliography  Save this article

Accessibility Indicators for Location Choices of Offices: An Application to the Intraregional Distributive Effects of High-Speed Rail in the Netherlands

Author

Listed:
  • Jasper Willigers
  • Han Floor
  • Bert van Wee

    (Delft University of Technology, Faculty of Technology, Policy and Management, PO Box 5015, 2600 GA Delft, The Netherlands)

Abstract

Accessibility is often seen to be an important determinant of the location of economic activities. This paper focuses on the specification of accessibility indicators for modelling the location choices of offices, with particular application to the upcoming implementation of a high-speed railway line in the Netherlands. Potential accessibility indicators are formulated, whereby attention is given to the shape of the impedance function and to the role of competitive transport modes in a transport mode's accessibility effect. These indicators are then tested in a discrete choice model on the location of office employment. Finally the accessibility indicators are used to explore the effects of the upcoming domestic high-speed train services in the Netherlands. The analyses show that a Box–Cox impedance function performs best for this application and significantly better than the exponential and power functions. The derived potential accessibility indicators have much explanatory capability for location attractiveness at a regional level, but at an intraregional level connectivity measures become more influential. Finally, it has been found that the accessibility effect of the future high-speed train connection is larger for business travel than for commuting, the value of time of travellers being a dominant factor.

Suggested Citation

  • Jasper Willigers & Han Floor & Bert van Wee, 2007. "Accessibility Indicators for Location Choices of Offices: An Application to the Intraregional Distributive Effects of High-Speed Rail in the Netherlands," Environment and Planning A, , vol. 39(9), pages 2086-2898, September.
    • Handle: RePEc:sae:envira:v:39:y:2007:i:9:p:2086-2898
    DOI: 10.1068/a3913
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a3913
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a3913?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Benedikt Mandel & Marc Gaudry & Werner Rothengatter, 1997. "A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 99-120.
    2. Frank Bruinsma & Piet Rietveld, 1993. "Urban Agglomerations in European Infrastructure Networks," Urban Studies, Urban Studies Journal Limited, vol. 30(6), pages 919-934, June.
    3. Sands, Brian D., 1993. "The Development Effects of High-Speed Rail Stations and Implications for California," University of California Transportation Center, Working Papers qt13t478sf, University of California Transportation Center.
    4. Cantillo, Víctor & Ortúzar, Juan de Dios, 2005. "A semi-compensatory discrete choice model with explicit attribute thresholds of perception," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 641-657, August.
    5. Anas, Alex, 1983. "Discrete choice theory, information theory and the multinomial logit and gravity models," Transportation Research Part B: Methodological, Elsevier, vol. 17(1), pages 13-23, February.
    6. Piet Rietveld & Frank Bruinsma, 1998. "Is Transport Infrastructure Effective?," Advances in Spatial Science, Springer, number 978-3-642-72232-5, december.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria Teresa Borzacchiello & Peter Nijkamp & Eric Koomen, 2010. "Accessibility and Urban Development: A Grid-Based Comparative Statistical Analysis of Dutch Cities," Environment and Planning B, , vol. 37(1), pages 148-169, February.
    2. Cao, Jing & Liu, Xiaoyue Cathy & Wang, Yinhai & Li, Qingquan, 2013. "Accessibility impacts of China’s high-speed rail network," Journal of Transport Geography, Elsevier, vol. 28(C), pages 12-21.
    3. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    4. Reggiani, Aura & Bucci, Pietro & Russo, Giovanni & Haas, Anette & Nijkamp, Peter, 2011. "Regional labour markets and job accessibility in City Network systems in Germany," Journal of Transport Geography, Elsevier, vol. 19(4), pages 528-536.
    5. Souche, Stéphanie & Mercier, Aurélie & Ovtracht, Nicolas, 2015. "Income and access inequalities of a cordon pricing," Research in Transportation Economics, Elsevier, vol. 51(C), pages 20-30.
    6. Tóth, Géza & Kincses, Áron, 2015. "Accessibility Models Based On the Gravity Analogy: In Theory and Practice," MPRA Paper 73952, University Library of Munich, Germany.
    7. Verma, Ashish & Sudhira, H.S. & Rathi, Sujaya & King, Robin & Dash, Nibedita, 2013. "Sustainable urbanization using high speed rail (HSR) in Karnataka, India," Research in Transportation Economics, Elsevier, vol. 38(1), pages 67-77.
    8. Lin-Han Chiang Hsieh, 2021. "How Does the Effect Fade over Distance? An Inquiry into the Decay Pattern of Distance Effect on Property Values in the Case of Taipei, Taiwan," Land, MDPI, vol. 10(11), pages 1-10, November.
    9. Ottensmann, John R. & Lindsey, Greg, 2008. "A Use-Based Measure of Accessibility to Linear Features to Predict Urban Trail Use," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(1), pages 41-63.
    10. Stéphanie Souche & Aurelie Mercier & Nicolas Ovtracht, 2016. "The impacts of urban pricing on social and spatial inequalities: The case study of Lyon (France)," Urban Studies, Urban Studies Journal Limited, vol. 53(2), pages 373-399, February.
    11. He, Zhangyuan & Zhao, Pengjun & Xiao, Zuopeng & Huang, Xin & Li, Zhaoxiang & Kang, Tingting, 2024. "Exploring the distance decay in port hinterlands under port regionalization using truck GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    12. Jiao, Jingjuan & Zhao, Hongyu & Lyu, Guowei, 2024. "How does high-speed rail affect off-site investments? Evidence from the Yangtze River Delta, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    13. Vega, Amaya & Reynolds-Feighan, Aisling, 2016. "The impact of the great recession on Irish air travel: An intermodal accessibility analysis," Journal of Air Transport Management, Elsevier, vol. 51(C), pages 1-18.
    14. Federica Rossi & Rico Maggi, 2019. "Business travel decisions and high-speed trains: an ordered logit approach," REGION, European Regional Science Association, vol. 6, pages 1-16.
    15. Eric Pels & Piet Rietveld, 2007. "Railway Station and Urban Dynamics," Environment and Planning A, , vol. 39(9), pages 2043-2047, September.
    16. P. Nijkamp & A. Reggiani, 2012. "Did Zipf Anticipate Socio-Economic Spatial Networks?," Working Papers wp816, Dipartimento Scienze Economiche, Universita' di Bologna.
    17. Aura Reggiani & Peter Nijkamp, 2015. "Did Zipf Anticipate Spatial Connectivity Structures?," Environment and Planning B, , vol. 42(3), pages 468-489, June.
    18. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network," International Regional Science Review, , vol. 34(2), pages 230-252, April.
    19. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    20. Vega, Amaya, 2012. "Using Place Rank to measure sustainable accessibility," Journal of Transport Geography, Elsevier, vol. 24(C), pages 411-418.
    21. Martínez, L. Miguel & Viegas, José Manuel, 2013. "A new approach to modelling distance-decay functions for accessibility assessment in transport studies," Journal of Transport Geography, Elsevier, vol. 26(C), pages 87-96.
    22. Zhang, Wenxin & Nian, Peihao & Lyu, Guowei, 2016. "A multimodal approach to assessing accessibility of a high-speed railway station," Journal of Transport Geography, Elsevier, vol. 54(C), pages 91-101.
    23. Eda Ustaoglu & Brendan Williams & Laura O. Petrov & Harutyun Shahumyan & Hedwig Van Delden, 2017. "Developing and Assessing Alternative Land-Use Scenarios from the MOLAND Model: A Scenario-Based Impact Analysis Approach for the Evaluation of Rapid Rail Provisions and Urban Development in the Greate," Sustainability, MDPI, vol. 10(1), pages 1-34, December.
    24. Ahern, Aoife & Vega, Amaya & Caulfield, Brian, 2016. "Deprivation and access to work in Dublin City: The impact of transport disadvantage," Research in Transportation Economics, Elsevier, vol. 57(C), pages 44-52.
    25. Shen, Yu & de Abreu e Silva, João & Martínez, Luis Miguel, 2014. "Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006," Journal of Transport Geography, Elsevier, vol. 41(C), pages 184-196.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maria Teresa Borzacchiello & Peter Nijkamp & Eric Koomen, 2010. "Accessibility and Urban Development: A Grid-Based Comparative Statistical Analysis of Dutch Cities," Environment and Planning B, , vol. 37(1), pages 148-169, February.
    2. Pokharel, Ramesh & Bertolini, Luca & te Brömmelstroet, Marco & Acharya, Surya Raj, 2021. "Spatio-temporal evolution of cities and regional economic development in Nepal: Does transport infrastructure matter?," Journal of Transport Geography, Elsevier, vol. 90(C).
    3. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network," International Regional Science Review, , vol. 34(2), pages 230-252, April.
    4. José Luis Espinosa-Aranda & Ricardo García-Ródenas & María Luz López-García & Eusebio Angulo, 2018. "Constrained nested logit model: formulation and estimation," Transportation, Springer, vol. 45(5), pages 1523-1557, September.
    5. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
    6. Jasper Willigers & Han Floor & Bert Van Wee, 2005. "High-speed railÂ’s impact on the location of office employment within the Dutch Randstad area," ERSA conference papers ersa05p308, European Regional Science Association.
    7. Antonio Paez, 2004. "Network Accessibility and the Spatial Distribution of Economic Activity in Eastern Asia," Urban Studies, Urban Studies Journal Limited, vol. 41(11), pages 2211-2230, October.
    8. Willigers, Jasper & van Wee, Bert, 2011. "High-speed rail and office location choices. A stated choice experiment for the Netherlands," Journal of Transport Geography, Elsevier, vol. 19(4), pages 745-754.
    9. Espinosa-Aranda, José Luis & García-Ródenas, Ricardo & Ramírez-Flores, María del Carmen & López-García, María Luz & Angulo, Eusebio, 2015. "High-speed railway scheduling based on user preferences," European Journal of Operational Research, Elsevier, vol. 246(3), pages 772-786.
    10. Hyunwoo Lim & Jean-Claude Thill, 2008. "Intermodal Freight Transportation and Regional Accessibility in the United States," Environment and Planning A, , vol. 40(8), pages 2006-2025, August.
    11. Aura Reggiani, 2012. "Accessibility, connectivity and resilience in complex networks," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 2, pages 15-36, Edward Elgar Publishing.
    12. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    13. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    14. Chen, Shaopei & Claramunt, Christophe & Ray, Cyril, 2014. "A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network," Journal of Transport Geography, Elsevier, vol. 36(C), pages 12-23.
    15. Marcus Adolphson, 2010. "Kernel Densities and Mixed Functionality in a Multicentred Urban Region," Environment and Planning B, , vol. 37(3), pages 550-566, June.
    16. Juan Martín & Gustavo Nombela, 2007. "Microeconomic impacts of investments in high speed trains in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(3), pages 715-733, September.
    17. Miren Lafourcade & Jacques-François Thisse, 2011. "New Economic Geography: The Role of Transport Costs," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 4, Edward Elgar Publishing.
    18. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    19. Daniel Albalate & Germá Bel, 2015. "La experiencia internacional en alta velocidad ferroviaria," Working Papers 2015-02, FEDEA.
    20. Elisabetta Cherchi & Juan de Dios Ortúzar, 2011. "On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity," Transportation Science, INFORMS, vol. 45(1), pages 98-108, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:39:y:2007:i:9:p:2086-2898. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.