2018
DOI: 10.1016/j.cities.2018.02.003
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Incorporating job diversity preference into measuring job accessibility

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Cited by 8 publications
(4 citation statements)
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“…However, it is also suitable for many broader measures of spatial-physical access with strong demand dependence. For example, in retail (Dai and Wang, 2011;Chen, 2017;Chen 2019), education and labour markets (Dai et al, 2018) or urban planning (Xing et al, 2018).…”
Section: Principles and Related Workmentioning
confidence: 99%
“…However, it is also suitable for many broader measures of spatial-physical access with strong demand dependence. For example, in retail (Dai and Wang, 2011;Chen, 2017;Chen 2019), education and labour markets (Dai et al, 2018) or urban planning (Xing et al, 2018).…”
Section: Principles and Related Workmentioning
confidence: 99%
“…Fire disasters are one of the most significant global disasters that seriously threaten public safety and social development [1,2]. A total of 10,815 fire fatalities occurred and caused 15,193 deaths between 2007 and 2016 in China (http://www.china-fire.com). With the acceleration of urbanization, fire incidents have become increasingly frequent and complex [3].…”
Section: Introductionmentioning
confidence: 99%
“…Spatial accessibility refers to the availability of and proximity to public services, while the tendency of individuals to choose public services is referred to as non-spatial accessibility [9][10][11]. Many methods have been developed to quantify spatial accessibility, such as the proximity to the nearest facility [12], regional availability methods [13], and the gravity model [14], while the two-step floating catchment area (2SFCA) method is one of the most widely used approaches [15][16][17]. The 2SFCA method was first proposed by Radke and Mu [18] and considers the facility capacity, potential demand, and travel impedance between demand and service facilities, as well as the maximum service coverage area, to evaluate the spatial accessibility of public services.…”
Section: Introductionmentioning
confidence: 99%
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