Facility Use-Choice Model with Travel Costs Incorporating Means of Transportation and Travel Direction
Estimating the number of users and their spatial distribution is necessary in the planning process of new public facilities. In the present study, we construct a model based on the nested logit model that is composed of facilities’ utility and users’ travel costs to describe facility use-choice behavior with respect to the facilities. The travel costs are described in terms of network distance, means of transportation, direction of travel, and number of transfers. As a numerical analysis, validation of the proposed model is achieved by estimating the number of users and their spatial distribution for newly constructed public libraries.
KeywordsCatchment Area Travel Cost Residential Location Minor District User Attribute
The authors would like to acknowledge the valuable comments and useful suggestions from anonymous reviewers to improve the content and clarity of the chapter. A part of this paper was presented at Journal of Architectural Planning and Engineering, AIJ, “Travel costs considering means and direction of movement within a city incorporated with a model of facility choice behavior”, Vol. 77, no. 676, pp. 1293–1300, 2012 (in Japanese).
- Apparicio P, Abdelmajid M, Rival M, Shearmur R (2008) Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues. Int J Health Geograph 7(7):1–14Google Scholar
- Arentze T, Borgers A, Timmermans H (1994) Geographical information systems and the measurement of accessibility in the context of multipurpose travel: a new approach. Geograph Syst 1:87–102Google Scholar
- Burns LD (1979) Transportation, temporal, and spatial components of accessibility. Lexington Books, LexingtonGoogle Scholar
- Cliquet G (2002) Geomarketing—methods and strategies in spatial marketing, ISTEGoogle Scholar
- Geospatial Information Authority of Japan (GSI) (1998) Instruction book of detailed digital information, Japan Map CenterGoogle Scholar
- Green C, Breetzke K, Mans G (2009) GIS based evaluation of public facility provision to achieve improved governance and equitable service delivery. Geo multimedia 2009: 14th international conference on urban planning and regional development in the information society, pp 1–94Google Scholar
- Inoi H, Nakaoka R (2007) Research on the palliation of physical burden from slope by community bus. Infrastructure planning review, Japan society of civil engineers, vol 36. CD-ROMGoogle Scholar
- Nakamura K, Kurihara K (1998) The way of planning the library system to regional area: Fundamental investigation for the planning of library system to community area (12). J Arch Plann Eng 512:123–130 in JapaneseGoogle Scholar
- Osaragi T (2009) Estimating spatio-temporal distribution of railroad users and its application to disaster prevention planning (Lecture notes in geoinformation and cartography). In: Sester M et al. (eds) Advances in GI Science, Springer, Berlin, pp 233–250Google Scholar
- Peterson K (2004) The power of place—Advanced customer and location analytics for market planning, IntegrasGoogle Scholar
- Schüssler F (2006) Gemoarketing—Anwendung Geographischer Informations-systeme im Einzelhandel, TectumGoogle Scholar