Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour

Shatu, Farjana Mostafiz; Yiğitcanlar, Tan; Bunker, Jonathan M.

doi:10.1016/j.jtrangeo.2018.11.005

Cited by 91 publications

(63 citation statements)

References 93 publications

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“…Although, as discussed above, we deem route choice models purely based on cost minimisation partial and not able to account for the complexity and variability of human spatial behaviour, people do make use of metric information [99,100] and, successfully or not, may attempt to minimise distance or change of direction [101]. Hence, to assess the plausibility of the routes generated within the four scenarios, we computed for each route the deviation from the corresponding road distance shortest path (SP) as:…”

Section: Plos Onementioning

confidence: 99%

Perception of urban subdivisions in pedestrian movement simulation

2020

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The perception of urban subdivisions, deriving from regionalisation processes and the identification of separating elements (barriers), has proven to dynamically shape peoples’ cognitive representations of space and route choice behaviour in cities. However, existing Agent-Based Models (ABMs) for pedestrian simulation have not accounted for these particular cognitive mapping processes. The aim of this paper is to explore the behaviour of pedestrian agents endowed with knowledge about urban subdivisions. Drawing from literature in spatial cognition, we adapted a region-based route choice model, which contemplates a high- and a local planning level, and advanced a barrier-based route choice model, wherein the influence of separating elements is manipulated. Finally, we combined these two approaches in a region-barrier based model. The patterns emerging from the movement of agents employing such approaches were examined in the city centres of London and Paris. The introduction of regions in the routing mechanisms reduced the unbalanced concentration of agents across the street network brought up by the widely employed least cumulative angular change model (-.08 Gini coefficient). The inclusion of barriers further raised the dispersal of the agents through secondary roads, while leading agents to walk along waterfronts and across parks; it also yielded a more regular usage of pedestrian roads. Moreover, the region- and the region-barrier based routes showed deviation ratio values from the road distance shortest path (region-based: 1.18 London, 1.16 Paris, region-barrier based: 1.43 London, 1.33 Paris) consistent with empirical observations from pedestrian behaviour research. A further evaluation of the model with macro-level observational data may enhance the understanding of pedestrian dynamics and help tuning the interplay amongst urban salient elements at the agent level. Yet, we consider the movement flows arising from our current implementation insightful for assessing the distribution of pedestrians and testing possible interventions for the design of legible and walkable spaces.

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Section: Plos Onementioning

confidence: 99%

Perception of urban subdivisions in pedestrian movement simulation

2020

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“…The increase of the walking distance is a potential reason of pedestrians not using footbridges (Räsänen et al 2007). Most pedestrians tend to choose the shortest path route between an origin and a destination (Shatu et al 2019).…”

Section: Disadvantages Of Footbridgesmentioning

confidence: 99%

Choosing footbridge or signalized crossing in an urban area: what triggers pedestrians?

Skandami¹,

Anapali²,

Basbas³

2020

ToTS

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“…For example, Theodoridou, Varouchakis, and Karatzas () compare kriging predictions of ground water levels using different spatial correlation functions and Euclidean, Manhattan, Minkowski, Canberra, and Bray‐Curtis distance metrics and found that Manhattan distance performed the best. Recently, work has been done to account for barriers that naturally occur in environmental distances, for example, driving distances that must follow roadways (Z. Hong, Chen, & Mahmassani, ; Shatu, Yigitcanlar, & Bunker, ) or pollutants that follow wind patterns (Li, Gong, & Zhou, ). This type of distance measure is often called path distance.…”

Section: Datamentioning

confidence: 99%

Modeling sea‐level processes on the U.S. Atlantic Coast

et al. 2019

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One of the major concerns engendered by a warming climate are changing sea levels and their lasting effects on coastal populations, infrastructures, and natural habitats. Sea levels are now monitored by satellites, but long-term records are only available at discrete locations along the coasts. Sea levels and sea-level processes must be better understood at the local level to best inform real-world adaptation decisions. We propose a statistical model that facilitates the characterization of known sea-level processes, which jointly govern the observed sea level along the United States Atlantic Coast. Our model not only incorporates long-term sea level rise and seasonal cycles but also accurately accounts for residual spatiotemporal processes. By combining a spatially varying coefficient modeling approach with spatiotemporal factor analysis methods in a Bayesian framework, the method represents the contribution of each of these processes and accounts for corresponding dependencies and uncertainties in a coherent way. Additionally, the model provides a consistent way to estimate these processes and sea level values at unmonitored locations along the coast. We show the outcome of the proposed model using thirty years of sea level data from 38 stations along the Atlantic (east) Coast of the United States. Among other results, our method estimates the rate of sea level rise to range from roughly 1 mm/year in the northern and southern regions of the Atlantic coast to 5.4 mm/year in the middle region. KEYWORDScoastal processes, confirmatory factor analysis, MCMC, multivariate autoregressive model, sea level rise, spatial basis functions, spatiotemporal modeling Environmetrics. 2019;e2609.wileyonlinelibrary.com/journal/env

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Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour

Cited by 91 publications

References 93 publications

Perception of urban subdivisions in pedestrian movement simulation

Perception of urban subdivisions in pedestrian movement simulation

Choosing footbridge or signalized crossing in an urban area: what triggers pedestrians?

Modeling sea‐level processes on the U.S. Atlantic Coast

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