Performance indicators for public transit connectivity in multi-modal transportation networks

Mishra, Sabyasachee; Welch, Timothy F; Jha, M. K.

doi:10.1016/j.tra.2012.04.006

Cited by 130 publications

(80 citation statements)

References 49 publications

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“…Figure 3c shows the Gini coefficient scores of each district, which depends on the topology of the transit network. With higher scores comes a greater concentration degree of transit accessibility [54]. Due to the decentralized property of their transit network, the districts acquire lower Gini Index scores, than other districts with highly centralized nature of transit.…”

Section: The Matching Of Supply Indicator and Transit Needsmentioning

confidence: 99%

Measurement and Spatial Differentiation Characteristics of Transit Equity: A Case Study of Guangzhou, China

et al. 2018

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Urban public transit is an important solution for narrowing the mobility gap between captive riders and choice riders and to address issues of social equity. An equitable transit system essentially could meet the needs of transit dependents and maximize the scope of public transit services. To acquire a better understanding of transit equity, we use Lorenz curves and the GINI coefficient to measure the relative supply of public transit to the population and employ the spatial overlay method to analyze the matching degree of transit supply and demand in Guangzhou, China. The findings show that there are obvious and unequal differences between the levels of transit service in the internal zones. The spatial coverage rate and number of stop services of the outer city are significantly less than that of the inner and middle city. Eighty percent of the population shares only 36.7% of the public transit supply in Guangzhou. Most communities of low-supply and high-need public transit are distributed contiguously in the eastern Baiyun and southern Huadu districts. This distribution pattern is beneficial to the transit agency, which could improve the supply in these areas to avoid the risk caused when a large number of residents lack access to public transit services. The results could serve as an excellent foundation for planning the handling of spatial gaps in the Guangzhou public transit supply.

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Section: The Matching Of Supply Indicator and Transit Needsmentioning

confidence: 99%

Measurement and Spatial Differentiation Characteristics of Transit Equity: A Case Study of Guangzhou, China

et al. 2018

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“…The measurements of coverage, directness, and connectivity indicators were based on relevant research conducted by Derrible and Kennedy [7], Park and Kang [17], and Mishra et al [18]. The details are described in the subsequent sections.…”

Section: Indicator Measurementmentioning

confidence: 99%

“…Mishra et al [18] redefined the outbound and inbound connecting power of transit line l at transit stop v by incorporating an activity density variable into Equations (5) and (6). The measurements of the connectivity indicator for a transit stop, a transit line, and a region were similar to those defined in Equations (7)- (10).…”

Section: Connectivitymentioning

confidence: 99%

“…The activity density is a measurement of the development pattern. However, Mishra et al [18] did not provide a clearly defined measurement formula.…”

Section: Connectivitymentioning

confidence: 99%

“…These revisions were based on Mishra et al [18]. The definition of the connecting power of transit line l at transit stop v and the connectivity index of transit stop v were similar to those of Equations (7) and (8).…”

Section: Connectivitymentioning

confidence: 99%

See 2 more Smart Citations

Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals

Shiau

Lee

2017

Sustainability

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This paper proposes an indicator integration model to measure network-based public transit performance. Coverage, directness, and connectivity indicators were used to measure network-based public transit performances individually. The three indicators exist preferential dependence problem in eliciting indicator weights. The value judgments by 40 representatives were collected by using fuzzy measures. Subsequently, fuzzy integrals were applied to integrate the three indicators considering their preferential dependence. The major contributions are twofold: one contribution is providing a comprehensive performance measurement for multimodal transit networks and the other is resolving preferential dependence between the three indicators. A case study of Taipei City was also discussed to demonstrate the application of the integration model. Five major results were derived from the study: (1) according to the decision group preferences, coverage was preferred to directness, and directness was preferred to connectivity; (2) the districts of Taipei City in the central business district (CBD) generally feature high transit coverage compared with the districts in the surrounding areas; (3) the districts in the surrounding areas generally exhibit high transit connectivity compared with the districts in the CBD; (4) the 12 districts of Taipei City do not differ substantially in transit directness performance; and (5) most of the districts of Taipei City in the CBD exhibit relatively better comprehensive transit performance than the districts in the surrounding areas.

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Characterising the structural pattern of urban road networks in Ghana using geometric and topological measures

Dumedah

Garsonu

2021

Geography and Environment

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This study characterized road networks using geometric and topological indicators for urban roads in Ghana which are characterized by informal and poor layout. Given the lack of adequate infrastructure for traffic monitoring in Ghana, the spatial distribution of betweeness centrality could be part of the critical resource to provide insight for traffic management. These findings provide the basis to inform transportation planning and management on critical issues, particularly, based on the spatial distribution of betweeness centrality it is possible to identify problematic locations within the road network which are most vulnerable to traffic congestion.

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Performance indicators for public transit connectivity in multi-modal transportation networks

Cited by 130 publications

References 49 publications

Measurement and Spatial Differentiation Characteristics of Transit Equity: A Case Study of Guangzhou, China

Measurement and Spatial Differentiation Characteristics of Transit Equity: A Case Study of Guangzhou, China

Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals

Characterising the structural pattern of urban road networks in Ghana using geometric and topological measures

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