An analysis of drivers route choice behaviour using GPS data and optimal alternatives

Ciscal-Terry, Wilner; Dell’Amico, Mauro; Hadjidimitriou, Natalia Selini; Iori, Manuel

doi:10.1016/j.jtrangeo.2015.12.003

Cited by 51 publications

(22 citation statements)

References 34 publications

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“…One potential explanation for such behavior is that individuals tend to minimize their (cognitive) efforts at the cost of the accuracy of their choice outcome according to some sort of effort-accuracy trade-off framework (Johnson and Payne 1985). In line with this, several studies found that travelers choose a short travel time alternative, although not necessarily the shortest travel time alternative (e.g., Ciscal-Terry et al 2016;Vreeswijk et al 2015;Zhu and Levinson 2010). These findings indicate that individuals do not necessarily want to use the route alternatives that benefit them the most, are not able to correctly identify these or are not particularly interested in this.…”

Section: Literature Reviewmentioning

confidence: 96%

Travelers’ compliance with social routing advice: evidence from SP and RP experiments

et al. 2018

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This study examines to what extent travel information can be used to direct travelers to system-optimal routes that may be sub-optimal for them personally, but contribute to network efficiency. This is done by empirically examining determinants of travelers' compliance with social routing advice. To that end, we conducted both a stated choice experiment and a revealed choice experiment (which also collected stated intentions and motivations for revealed behavior). Results from the stated choice experiment indicate a significant difference in compliance behavior across different information frames, societal goals, sizes of travel time sacrifices and personality. These findings are less evident from results based on analysis of revealed choices; i.e., the main motivation for revealed compliance seems to be an intrinsic motivation to contribute to improved throughput, while the main motivation for non-compliance relates to perceived traffic conditions. Moreover, the size of the travel time sacrifice seems not that important as expected. Nonetheless, comparing stated intentions with real-world behavior suggests that a relation between intention and compliance frequency does exist.

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Section: Literature Reviewmentioning

confidence: 96%

Travelers’ compliance with social routing advice: evidence from SP and RP experiments

et al. 2018

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“…The road network includes expressways, main roads, secondary roads and branch roads and excludes metro-ways, highways, railways and ferry-ways [24].…”

Section: Road Network and Fire-engine Gps Datamentioning

confidence: 99%

An Integrated Spatial Clustering Analysis Method for Identifying Urban Fire Risk Locations in a Network-Constrained Environment: A Case Study in Nanjing, China

Xia

Yue-hong

2017

IJGI

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Abstract:The spatial distribution of urban geographical events is largely constrained by the road network, and research on spatial clusters of fire accidents at the city level plays a crucial role in emergency rescue and urban planning. For example, by knowing where and when fire accidents usually occur, fire enforcement can conduct more efficient aid measures and planning department can work out more reasonable layout optimization of fire stations. This article proposed an integrated method by combining weighted network-constrained kernel density estimation (NKDE) and network-constrained local Moran's I (ILINCS) to detect spatial cluster pattern and identify higher-risk locations of fire accidents. The proposed NKDE-ILINCS weighted a set of crucial non-spatial attributes of point events and links, and considered the impact factors of road traffic states, intersection roads and fire severity in NKDE to reflect real urban environment. This method was tested using the fire data in 2015 in Nanjing, China. The results demonstrated that the method was appropriate to detect network-constrained fire cluster patterns and identify high-high road segments. Besides, the first 14 higher-risk road segments in Nanjing are listed. These findings of this case study enhance our knowledge to more accurately observe where fire accidents usually occur and provide a reference for fire departments to improve emergency rescue effectiveness.

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“…Conventional routing choice models are mostly developed to shorten the travel time, such as Waze application [12], Google map [13] and GPS navigator [13]. In recent years, eco-routing is derived from the routing choice models to minimize total operating costs, including vehicle emissions, fuel consumption and travel time, for the same origin and destination.…”

Section: Eco-routing Systemmentioning

confidence: 99%

Status and Research Topics in Developing Ecological Transportation System within Connected Vehicle Age with Knowledge Discovery Database Techniques

Qiao¹,

Li²,

Yu³

2017

Environ Pollut Climate Change

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An analysis of drivers route choice behaviour using GPS data and optimal alternatives

Cited by 51 publications

References 34 publications

Travelers’ compliance with social routing advice: evidence from SP and RP experiments

Travelers’ compliance with social routing advice: evidence from SP and RP experiments

An Integrated Spatial Clustering Analysis Method for Identifying Urban Fire Risk Locations in a Network-Constrained Environment: A Case Study in Nanjing, China

Status and Research Topics in Developing Ecological Transportation System within Connected Vehicle Age with Knowledge Discovery Database Techniques

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