Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework

By Mei-Po Kwan. 2010

1,017 citations recorded by the source corpus.

Subfields: Demography, Speech and Hearing, Transportation

View Paper: https://www.semanticscholar.org/paper/88eb946cbac3ad94618f5a23fa811668dd922030

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Citations in the corpus

Integrating dispersal proxies in ecological and environmental research in the freshwater realm (2017, background): “A schematic figure of transport geographic accessibility measures (Huff 1963; Kwan 1998; Rietveld and Bruinsma 1998; Páez et al. 2012) and their potential applicability as ecological dispersal proxies.”
Measures of transport-related social exclusion: A critical review of the literature (2016, methodology): “After Miller [126], the network-based approach has widely been adopted to measure individual accessibility [127–134].”
Population Distribution, Settlement Patterns and Accessibility across Africa in 2010 (2012, background): “Traditionally, accessibility measures are either aggregated nationally or by administrative unit [4] or point-based using individual-level data [27].”
Kernel Density Estimation of traffic accidents in a network space (2008, neutral): “…(Black, 1992; Black & Thomas, 1998), network Huff model of market area analysis (Miller, 1994; Okabe & Kitamura, 1996; Okabe & Okunuki, 2001), network distance-decay (Kent et al., 2005), space-time accessibility measures (Kwan, 1998; Miller, 1999b), space-time clustering (Black, 1991) and etc.”
Activity-based models of travel demand: promises, progress and prospects (2014, background): “However, as argued by Kwan (1998), the activity space of an individual is not only dictated by the home and job location.”
Assessing equity in transport accessibility to work and study: The Bogotá region (2017, background): “This is useful for comparing accessibility between different zones (Kwan, 1998).”
A comparison of perceived and geographic access to predict urban park use (2015, background): “But other studies reported that variations in accessibility measurement could significantly impact the empirical results (Guy, 1983; Kwan, 1998; Neutens, Schwanen, Witlox, & de Maeyer, 2010; Talen & Anselin, 1998; Weber, 2003) and the ability to predict human behavioural changes (Joerin, Thériault, ”
Equity of Urban Service Delivery: A Comparison of Different Accessibility Measures (2010, methodology): “Various people-based measures have been proposed and implemented that explicitly acknowledge an individual's travel behaviour and space ^ time environment (eg Kwan, 1998; Miller, 1991; Recker et al, 2001).”
Discussing Equity and Social Exclusion in Accessibility Evaluations (2011, background): “…category of accessibility, like location accessibility (e.g. Song, 1996; Handy and Niemeier, 1997), individual accessibility (e.g. Pirie, 1979; Kwan, 1998) or the economic benefits of accessibility (e.g. Koenig, 1980; Niemeier, 1997), or with the aim of being more or less complete (Geurs and…”
An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. (2009, methodology): “In order to differentiate accessibility within a catchment, multiple travel time zones within each catchment are obtained using the ArcGIS Network Analyst and assigned with different weights according to the Gaussian function (Kwan, 1998; Wang, 2007).”
Measuring segregation: an activity space approach (2011, methodology): “Locations of individuals over time and space have been used to measure accessibility to physical space and virtual space (e.g., Kwan 1998, 2002, 2004; Yu 2006; Yu and Shaw 2008; Shaw and Yu 2009).”