Walking to public transit: Exploring variations by socioeconomic status

Chia, Jason; Lee, Jinwoo; Kamruzzaman, Md.

doi:10.1080/15568318.2016.1156792

Cited by 44 publications

(23 citation statements)

References 23 publications

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“…They distinguished captives and choice riders, and found that captives walk longer distances to BRT systems. This is almost certainly due to the freedom of choice riders, who can choose another transport mode if they find the distance to PT too long, although Chia et al (2016) did not find significant differences between captives and choice riders.…”

Section: Coroninimentioning

confidence: 84%

“…Sometimes only half of actual transport and activity gets reported (Ong, 2014). Self-reported duration might also be subject to experiential influences and people have a tendency to round times at 5 minute intervals (e.g., Chia et al, 2016), even though every minute of difference has a relatively large impact with regard to short walking stages.…”

Section: Studies Using Subjective Datamentioning

confidence: 99%

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Exploring the distances people walk to access public transport

2019

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Section: Coroninimentioning

confidence: 84%

Section: Studies Using Subjective Datamentioning

confidence: 99%

Exploring the distances people walk to access public transport

2019

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“…The next process is to distinguish return trips from single-transfer journeys. Studies have shown that transit users are willing to walk on average 400 or 500 m to bus stops [ 36 , 37 , 38 , 39 ]. A maximum distance threshold of 1 km from origin and destination was used to distinguish single-transfer journeys from return trips.…”

Section: Transformation Mapping Of Transfer Coordinatementioning

confidence: 99%

How Does the Location of Transfer Affect Travellers and Their Choice of Travel Mode?—A Smart Spatial Analysis Approach

Chia

Lee

Han

2020

Sensors

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This study explores the relationship between the spatial distribution of relative transfer location (i.e., the location of the transfer point in relation to the trip origin and destination points) and the attractiveness of the transit service using smart card data. Transfer is an essential component of the transit trip that allows people to reach more destinations, but it is also the main factor that deters the smartness of the public transit. The literature quantifies the inconvenience of transfer in terms of extra travel time or cost incurred during transfer. Unlike this conventional approach, the new “transfer location” variable is formulated by mapping the spatial distribution of relative transfer locations on a homogeneous geocoordinate system. The clustering of transfer points is then quantified using grid-based hierarchical clustering. The transfer location factor is formulated as a new explanatory variable for mode choice modelling. This new variable is found to be statistically significant, and no correlation is observed with other explanatory variables, including transit travel time. These results imply that smart transit users may perceive the travel direction (to transfer) as important, in addition to the travel time factor, which would influence their mode choice. Travellers may disfavour even adjacent transfer locations depending on their relative location. The findings of this study will contribute to improving the understanding of transit user behaviour and impact of the smartness of transfer, assist smart transport planning and designing of new transit routes and services to enhance the transfer performance.

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“…(1) demographic characteristics of transit users, (2) mode and trip attributes, and (3) built environment characteristics. Influential demographic characteristics include gender, race, income, education, and profession (Chia, Lee, and Kamruzzaman 2016;Kim, Ulfarsson, and Todd Hennessy 2007;Loutzenheiser 1997). Significant trip factors include transit modes, trip purposes, the number of transfers, and trip duration (El-Geneidy et al 2014;Guerra, Cervero, and Tischler 2012;J.…”

Section: Literature Reviewmentioning

confidence: 99%

Associations among Distance, Quality, and Safety When Walking from a Park-and-Ride Facility to the Transit Station in the Twin Cities

Cao

Duncan

2019

Journal of Planning Education and Research

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Planners are interested in moving park-and-ride facilities away from transit stations and leaving space nearby for development. However, the literature offers no indication on how park-and-riders would tolerate longer walking distances. This study applies stated preference surveys to examine park-and-riders’ walking tolerance and other influential factors. We found that park-and-riders overwhelmingly prefer short walking distances but a pedestrian-friendly environment can offset the disutility of walking distances. With safe intersections, good pedestrian infrastructure, and an attractive building appearance, this study indicates that park-and-riders will walk up to two blocks more than they otherwise would. They stated that security, sidewalk, and crosswalk conditions are the most critical.

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Walking to public transit: Exploring variations by socioeconomic status

Cited by 44 publications

References 23 publications

Exploring the distances people walk to access public transport

Exploring the distances people walk to access public transport

How Does the Location of Transfer Affect Travellers and Their Choice of Travel Mode?—A Smart Spatial Analysis Approach

Associations among Distance, Quality, and Safety When Walking from a Park-and-Ride Facility to the Transit Station in the Twin Cities

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