Quantifying multi-modal public transit accessibility for large metropolitan areas: a time-dependent reliability modeling approach

Zhang, Tong; Dong, Shaoxuan; Zeng, Zhe; Li, Jing

doi:10.1080/13658816.2018.1459113

Cited by 40 publications

(29 citation statements)

References 39 publications

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“…Traditional studies look towards subjectively choosing specific travel modes (F. Wang, 2012), but an increasing number of scholars have begun to improve accessibility models considering the influence of different transport modes (Dony, Delmelle, & Delmelle, 2015). Travel impedance data can be accessed from open data sources (García-Albertos, Picornell, Salas-Olmedo, & Gutiérrez, 2018;Weiss et al, 2018), including individual trip survey data (Mao & Nekorchuk, 2013), web mapping service (Google Maps (Dony et al, 2015), Baidu Maps (Tao, Yao, Kong, Duan, & Li, 2018), Amap Maps (Zhou, Ding, Wu, Huang, & Hu, 2019)) and location-based social media data (T. Zhang et al, 2018), which enable advancements in revealing the characteristics of human activities (Huang, Levinson, Wang, Zhou, & Wang, 2018;Y. Liu et al, 2015;Xu et al, 2016).…”

Section: Residential Transport Mode Choices With Multimodal Transportmentioning

confidence: 99%

“…RTMC, also called travelers' multimodal choices, has been systematically studied (Chorus, Molin, & van Wee, 2006a, 2006bLappin & Bottom, 2001); it assumes that travelers have great potential to choose the most rational route and transport mode (Farber & Fu, 2017;T. Zhang et al, 2018).…”

Section: Residential Transport Mode Choices With Multimodal Transportmentioning

confidence: 99%

“…Some attention has been paid to integrating multimodal transport modes (MTM) into accessibility measures, and this has proven that MTM is more beneficial for realistic accessibility estimations than single models (T. Zhang, Dong, Zeng, & Li, 2018). However, empirical studies have not been conducted that simultaneously consider the influence of dynamic traffic factors on travelers' multimodal choices in the real world.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring spatiotemporal accessibility for pediatric clinical services with multimodal transport modes: an exploratory analysis in Nanjing, China

Zhou¹,

Li²,

Chen³

et al. 2020

Preprint

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Background: Healthcare accessibility research is developing towards a focus on multimodal transport modes (MTM) and spatiotemporal variation. Dynamic traffic conditions lead residents to make distinct traveling decisions in different timepoints, which has an impact on the spatiotemporal accessibility of healthcare. Pediatric clinic services (PCS) are one of the typical healthcare services that require a diagnosis through a professional physician clinic.Results: This paper aims to examine a methodological framework for the spatiotemporal accessibility of PCS (STA-PCS) and obtains its spatiotemporal variation characteristics. We design a spatial time impedance of multimodal transport modes (STI-MTM) model, which considers residential transport mode choices and adopt a gravity model based on web mapping data and population spatial distribution data to measure STA-PCS. We selected Nanjing, China, as the study area to estimate the STA-PCS value at four timepoints. The results indicate that the spatial aggregate of PCS is evident, and dynamic traffic factors influence the volatility of STA-PCS.Conclusions: This work holds pragmatic implications for policymakers on the STA-PCS considered travel characteristics based on georeferenced social media data.

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Section: Residential Transport Mode Choices With Multimodal Transportmentioning

confidence: 99%

Section: Residential Transport Mode Choices With Multimodal Transportmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measuring spatiotemporal accessibility for pediatric clinical services with multimodal transport modes: an exploratory analysis in Nanjing, China

Zhou¹,

Li²,

Chen³

et al. 2020

Preprint

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“…For the evaluation of PT, typically no time restrictions or temporal variability were taken into account. The missing temporal changes and neglected variability in schedules were also criticised by Zhang et al [62].…”

Section: Microsimulation Modellingmentioning

confidence: 99%

Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava

et al. 2019

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Activity-based micro-scale simulation models for transport modelling provide better evaluations of public transport accessibility, enabling researchers to overcome the shortage of reliable real-world data. Current simulation systems face simplifications of personal behaviour, zonal patterns, non-optimisation of public transport trips (choice of the fastest option only), and do not work with real targets and their characteristics. The new TRAMsim system uses a Monte Carlo approach, which evaluates all possible public transport and walking origin-destination (O-D) trips for k-nearest stops within a given time interval, and selects appropriate variants according to the expected scenarios and parameters derived from local surveys. For the city of Ostrava, Czechia, two commuting models were compared based on simulated movements to reach (a) randomly selected large employers and (b) proportionally selected employers using an appropriate distance-decay impedance function derived from various combinations of conditions. The validation of these models confirms the relevance of the proportional gravity-based model. Multidimensional evaluation of the potential accessibility of employers elucidates issues in several localities, including a high number of transfers, high total commuting time, low variety of accessible employers and high pedestrian mode usage. The transport accessibility evaluation based on synthetic trips offers an improved understanding of local situations and helps to assess the impact of planned changes.

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“…B. Y. Chen et al, 2017;Zhang et al, 2018). To make the results of this study relevant to ongoing innovation in this area, we will not calculate accessibility as such but rather look directly at the travel times used to construct any such metric.…”

Section: Measurement Strategymentioning

confidence: 99%

Accessibility Beyond the Schedule

Wessel¹

2019

Preprint

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The study of accessibility - the ease of reaching destinations - by public transport has made huge advances thanks to the availability of standardized, routable transit schedule data.The General Transit Feed Specification (GTFS) has provided researchers with a vast trove of machine-readable data allowing for highly detailed spatio-temporal modelling of scheduled transit operations.Yet it is well established that in the real-world schedules are imperfect - vehicles often run late, get bunched, miss transfers, arrive too full for anyone to board, and otherwise behave in predictably unpredictable ways. Schedule data alone cannot possibly account for this distinctly stochastic component of much transit service, which to date has been considered separate from accessibility analysis under the umbrella of ``reliability''. This dissertation takes the perspective that transit service is reliably unreliable and will continue to be so until humans are taken out of the equation. Detailed observations of actual service can be used to construct more realistic models for estimating travel times and thus accessibility via transit.Chapter 2 introduces a novel method of converting a detailed GPS record of transit fleet locations into a retrospective GTFS package. This backward-looking "schedule'' format allows the same tools developed for schedule-based GTFS analysis to be applied in Chapter 3 to a more accurate depiction of actual transit accessibility. The findings indicate that models of transit accessibility based on schedule data alone tend to produce substantial overestimates of accessibility and systematic spatial errors by failing to account for normal irregularities in service provision. Chapter 4 points toward a way of better suiting available GTFS analysis tools to actual transit service by addressing the problem of imperfect information in modelled route choice. The travel time implications for a large minority of trips are shown to be substantial. Transit accessibility research has come a long way in the last decade and has a long way yet to go. Models based on schedule data alone should give way in many cases to models based on service as actually provided, acknowledging that schedules may guide but rarely constrain the transit services that passengers actually use every day.

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Quantifying multi-modal public transit accessibility for large metropolitan areas: a time-dependent reliability modeling approach

Cited by 40 publications

References 39 publications

Measuring spatiotemporal accessibility for pediatric clinical services with multimodal transport modes: an exploratory analysis in Nanjing, China

Measuring spatiotemporal accessibility for pediatric clinical services with multimodal transport modes: an exploratory analysis in Nanjing, China

Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava

Accessibility Beyond the Schedule

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