A multinomial probit analysis of shanghai commute mode choice

Wang, Ke; Bhat, Chandra R.; Ye, Xin

doi:10.1007/s11116-022-10284-x

Cited by 6 publications

(3 citation statements)

References 40 publications

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“…For instance, other factors such as park safety, service facilities, and the built environment can impact park attractiveness (Liu et al, 2021; Rigolon and Németh, 2016), while heterogeneity also exists in people’s park visit and travel preferences. Future research could compare the weights of universally adopted and local-context-informed attractiveness factors, as well as calibrate multimodal travel choice models based on travel surveys with socio-economic information (Huang et al, 2022; Wang et al, 2022). The optimal spatial units for analysis can be also explored when datasets across different spatial scales become available.…”

Section: Discussionmentioning

confidence: 99%

“…However, due to data availability limitations, this study only considers travel time and travel cost. As utility-based parameter calibration is unfeasible with the available data, we follow Wang et al (2022) in adopting βT and βC values of -0.0413 and to -0.0765, respectively, in the context of Shanghai. Travel time is measured in minutes, while the travel cost for driving is expressed as the corresponding taxi fare.…”

Section: Methodsmentioning

confidence: 99%

“…However, research on accessibility assessment using localized variables is limited, and few attempts have been made to compare the results of accessibility measurements using different variables (Xing et al, 2020). In addition, recent studies suggest that accessibility measurements may vary significantly depending on the mode of transportation chosen, emphasizing the need to consider mode choice in accessibility measurements for more practical results (Dony et al, 2015; Huang et al, 2022; Wang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Gravity-based models for evaluating urban park accessibility: Why does localized selection of attractiveness factors and travel modes matter?

Chen,

Wang,

Qian

et al. 2023

Environment and Planning B: Urban Analytics and City Science

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Gravity-based models have been extensively utilized in urban studies for measuring geographic disparities in access to urban parks over the past several decades. However, despite methodological advancements incorporating various aspects of accessibility, there has been limited focus on the impact of variable selection (e.g., attractiveness factors) and transport modes on accessibility evaluations. This study investigates the differences in gravity-based models for assessing park accessibility based on varying assumptions about attractiveness factors and travel impedance. Semi-structured interviews with local residents were conducted to identify the reasons for park visits in Shanghai. Our bivariate correlation analyses reveal that factors such as park openness and access to public transport were crucial, in addition to conventional factors identified in the literature (i.e., park size and driving accessibility). This insight led to the development of localized accessibility measurements that incorporate park inclusiveness (i.e., entrance fees and opening hours) and multimodal travel options (based on multinomial logistic mode choice models). The results indicate that the refined model produces lower and more varied accessibility levels, which can better capture accessibility gaps across different geographic contexts. This accurate and practical identification of accessibility gaps can assist local planners and decision-makers in formulating effective policies and strategies to promote equitable access to urban public parks.

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