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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 329-344 |
| Number of pages | 16 |
| Journal | Geografiska Annaler, Series B: Human Geography |
| Volume | 96 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1 2014 |
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Keywords
- Demand for service
- Space-time constraints
- Space-time measures
- Time geography
ASJC Scopus subject areas
- Geography, Planning and Development
Cite this
Space-time measures of demand for service : Bridging location modelling and accessibility studies through a time-geographic framework. / Ren, Fang; Tong, Daoqin; Kwan, Mei Po.
In: Geografiska Annaler, Series B: Human Geography, Vol. 96, No. 4, 01.12.2014, p. 329-344.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Space-time measures of demand for service
T2 - Bridging location modelling and accessibility studies through a time-geographic framework
AU - Ren, Fang
AU - Tong, Daoqin
AU - Kwan, Mei Po
PY - 2014/12/1
Y1 - 2014/12/1
N2 - 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.
AB - 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.
KW - Demand for service
KW - Space-time constraints
KW - Space-time measures
KW - Time geography
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U2 - 10.1111/geob.12055
DO - 10.1111/geob.12055
M3 - Article
VL - 96
SP - 329
EP - 344
JO - Geografiska Annaler, Series B: Human Geography
JF - Geografiska Annaler, Series B: Human Geography
SN - 0435-3684
IS - 4
ER -