SPACE-TIME MEASURES OF DEMAND FOR SERVICE: BRIDGING LOCATION MODELLING AND ACCESSIBILITY STUDIES THROUGH A TIME-GEOGRAPHIC FRAMEWORK.
ABSTRACT Demand for service in location modelling is often evaluated based on the spatial proximity of fixed and static reference locations of demand (e.g. home) to a facility, which ignores person-specific activity-travel patterns and the temporal changes in demand for service throughout the day. T...
| Publicado en: | Geografiska Annaler Series B: Human Geography Vol. 96; no. 4; pp. 329 - 345 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Dec2014
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=100159745&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 100159745 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 04353684 7QV jtl: Geografiska Annaler Series B: Human Geography issn: 04353684 maglogo: N pubinfo: dt: Dec2014 vid: 96 iid: 4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 100159745 10.1111/geob.12055 ppf: 329 ppct: 16 formats: tig: atl: SPACE-TIME MEASURES OF DEMAND FOR SERVICE: BRIDGING LOCATION MODELLING AND ACCESSIBILITY STUDIES THROUGH A TIME-GEOGRAPHIC FRAMEWORK. aug: au: Ren, Fang Tong, Daoqin Kwan, Mei-Po affil: MS GIS Program, University of Redlands Department of Geography, University of Arizona Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign su: Supply & demand Strategic planning Customer services Spatial distribution (Quantum optics) Data analysis Spacetime sug: subj: Supply & demand Strategic planning Customer services Spatial distribution (Quantum optics) Data analysis Spacetime keyword: demand for service space-time constraints space-time measures time geography demand for service space-time constraints space-time measures time geography ab: ABSTRACT Demand for service in location modelling is often evaluated based on the spatial proximity of fixed and static reference locations of demand (e.g. home) to a facility, which ignores person-specific activity-travel patterns and the temporal changes in demand for service throughout the day. To address these limitations, this study draws upon recent developments in space-time measures of individual accessibility to explore the spatial and temporal structures of demand by considering individuals' space-time constraints and impact of existing urban structures. Based on a time-geographic framework, eight space-time demand measures were developed and compared with three conventional location-based demand measures for 12 hospitals through an empirical study conducted in Columbus, Ohio. The results show that geographic proximity between clients' home and facilities may not be an effective indicator for service demand, and conventional demand measures tend to underestimate potential demand for service in most situations. The study concludes that space-time demand measures that take into account people's activity-travel patterns in space-time would lead to better estimation of demand for service in most cases. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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