Measuring place-based accessibility under travel time uncertainty

ABSTRACT Travel time uncertainty has significant impacts on individual activity-travel scheduling, but at present these impacts have not been considered in most accessibility studies. In this paper, an accessibility evaluation framework is proposed for urban areas with uncertain travel times. A reliable space-time service region (RSTR) model is introduced to represent the space-time service region of a facility under travel time uncertainty. Based on the RSTR model, four reliable place-based accessibility measures are proposed to evaluate accessibility to urban services by incorporating the effects of travel time reliability. To demonstrate the applicability of the proposed framework, a case study using large-scale taxi tracking data is carried out. The results of the case study indicate that the proposed accessibility measures can evaluate large-scale place-based accessibility well in urban areas with uncertain travel times. Conventional place-based accessibility indicators ignoring travel time reliability can significantly overestimate the accessibility to urban services.

[1]  Bo Hu,et al.  Exploratory calibration of a spatial interaction model using taxi GPS trajectories , 2012, Comput. Environ. Urban Syst..

[2]  David M Levinson,et al.  Value of Travel Time Reliability: A Review of Current Evidence , 2010 .

[3]  David L. Huff,et al.  Defining and Estimating a Trading Area , 1964 .

[4]  Tijs Neutens,et al.  A GIS toolkit for measuring and mapping space–time accessibility from a place-based perspective , 2012, Int. J. Geogr. Inf. Sci..

[5]  M. Kwan The Uncertain Geographic Context Problem , 2012 .

[6]  W. G. Hansen How Accessibility Shapes Land Use , 1959 .

[7]  Michael A. P. Taylor,et al.  Travel through time: the story of research on travel time reliability , 2013 .

[8]  Y Iida,et al.  Transportation Network Analysis , 1997 .

[9]  Alexander Fotheringham,et al.  Geographic information systems for transportation: Principles and applications. , 2003 .

[10]  Tijs Neutens,et al.  An analysis of day-to-day variations in individual space-time accessibility , 2012 .

[11]  M. Kwan,et al.  Scale and accessibility: Implications for the analysis of land use-travel interaction , 2008 .

[12]  Tijs Neutens,et al.  Anchor uncertainty and space-time prisms on road networks , 2010, Int. J. Geogr. Inf. Sci..

[13]  Harvey J. Miller,et al.  GIS Software for Measuring Space-Time Accessibility in Transportation Planning and Analysis , 2000, GeoInformatica.

[14]  A. Steiner A three-step floating catchment area method to quantify the spatial accessibility of healthcare facilities for citizens , 2019 .

[15]  Michael F Goodchild,et al.  Spatial Turn in Health Research , 2013, Science.

[16]  M. Kwan,et al.  Individual Accessibility Revisited: Implications for Geographical Analysis in the Twenty-first Century , 2003 .

[17]  Bert van Wee,et al.  Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .

[18]  Michael J. Breheny The measurement of spatial opportunity in strategic planning , 1978 .

[19]  J. Bates,et al.  The valuation of reliability for personal travel , 2001 .

[20]  Lili Du,et al.  An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks , 2012 .

[21]  Qiang Wu,et al.  Dynamic Accessibility Analysis in Location-Based Service Using an Incremental Parallel Algorithm , 2008 .

[22]  D. R. Ingram The concept of accessibility: A search for an operational form , 1971 .

[23]  Harvey J. Miller,et al.  Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures , 1999 .

[24]  Mohamed Abdel-Aty,et al.  INVESTIGATING EFFECT OF TRAVEL TIME VARIABILITY ON ROUTE CHOICE USING REPEATED-MEASUREMENT STATED PREFERENCE DATA , 1995 .

[25]  Tim Schwanen,et al.  Well-Being, Context, and Everyday Activities in Space and Time , 2014 .

[26]  Qiang Meng,et al.  Modelling impacts of adverse weather conditions on activity–travel pattern scheduling in multi-modal transit networks , 2014 .

[27]  Q. Wu,et al.  A shortest path algorithm with novel heuristics for dynamic transportation networks , 2007, Int. J. Geogr. Inf. Sci..

[28]  Bin Zou,et al.  A three-step floating catchment area method for analyzing spatial access to health services , 2012, Int. J. Geogr. Inf. Sci..

[29]  Bi Yu Chen,et al.  Reliable shortest path finding in stochastic networks with spatial correlated link travel times , 2012, Int. J. Geogr. Inf. Sci..

[30]  Bi Yu Chen,et al.  A reliability‐based traffic assignment model for multi‐modal transport network under demand uncertainty , 2014 .

[31]  M. Kwan Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework , 2010 .

[32]  Qingquan Li,et al.  Finding Reliable Shortest Paths in Road Networks Under Uncertainty , 2013 .

[33]  Michael G.H. Bell,et al.  Transportation Network Analysis: Bell/Transportation Network Analysis , 1997 .

[34]  B. Chen,et al.  Most reliable path-finding algorithm for maximizing on-time arrival probability , 2017 .

[35]  Handong Wang,et al.  Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach , 2011 .

[36]  William H. K. Lam,et al.  USING AUTOMATIC VEHICLE IDENIFICATION DATA FOR TRAVEL TIME ESTIMATION IN HONG KONG , 2008 .

[37]  André de Palma,et al.  Route choice decision under travel time uncertainty , 2005 .

[38]  Randolph W. Hall,et al.  TRAVEL OUTCOME AND PERFORMANCE: THE EFFECT OF UNCERTAINTY ON ACCESSIBILITY , 1983 .

[39]  Mei-Po Kwan,et al.  Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration , 2003, J. Geogr. Syst..

[40]  Harvey J. Miller,et al.  Analytical methods for error propagation in planar space–time prisms , 2011, J. Geogr. Syst..

[41]  B. Chen,et al.  Reliable Space–Time Prisms Under Travel Time Uncertainty , 2013 .

[42]  Qingquan Li,et al.  A Hybrid Link‐Node Approach for Finding Shortest Paths in Road Networks with Turn Restrictions , 2015, Trans. GIS.

[43]  W. Lam,et al.  MODELING AIR PASSENGER TRAVEL BEHAVIOR ON AIRPORT GROUND ACCESS MODE CHOICES , 2008 .

[44]  Donggen Wang,et al.  The jobs-housing relationship and commuting in Beijing, China: the legacy of Danwei , 2009 .

[45]  Heidrun Belzner,et al.  A New Measure of Travel Time Reliability for In-Vehicle Navigation Systems , 2008, J. Intell. Transp. Syst..

[46]  M. O'Kelly,et al.  New Estimates of Gravitational Attraction by Linear Programming , 2010 .

[47]  Yuan Yao,et al.  Geomatics for Smart Cities - Concept, Key Techniques,and Applications , 2013, Geo spatial Inf. Sci..

[48]  H. Miller A MEASUREMENT THEORY FOR TIME GEOGRAPHY , 2005 .

[49]  Tijs Neutens,et al.  Equity of Urban Service Delivery: A Comparison of Different Accessibility Measures , 2010 .

[50]  Qingquan Li,et al.  Spatiotemporal data model for network time geographic analysis in the era of big data , 2016, Int. J. Geogr. Inf. Sci..

[51]  Qingquan Li,et al.  Map-matching algorithm for large-scale low-frequency floating car data , 2014, Int. J. Geogr. Inf. Sci..

[52]  Agachai Sumalee,et al.  Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply , 2008 .

[53]  Howard R. Kirby Accessibility indices for abstract road networks , 1976 .

[54]  Julien Radoux,et al.  Multimodal accessibility modeling from coarse transportation networks in Africa , 2013, Int. J. Geogr. Inf. Sci..

[55]  Fahui Wang,et al.  Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region , 2003, Environment and planning. B, Planning & design.

[56]  H. Miller Place‐Based versus People‐Based Geographic Information Science , 2007 .