Mode choice behavior for access and egress connection to transit services
|نوع نگارش مقاله||
scopus – master journals – JCR
۴٫۲۷۶ در سال ۲۰۲۰
۲۶ در سال ۲۰۲۱
۰٫۹۰۱ در سال ۲۰۲۰
|شاخص Quartile (چارک)||
Q1 در سال ۲۰۲۰
خرید محصول توسط کلیه کارت های شتاب امکان پذیر است و بلافاصله پس از خرید، لینک دانلود محصول در اختیار شما قرار خواهد گرفت و هر گونه فروش در سایت های دیگر قابل پیگیری خواهد بود.
فهرست مطالب مقاله:
Mode choice behavior for access and egress connection to transit services
In the aims to investigate the potential market of Transportation Network Companies (TNCs) to serve as first/last mile connection for transit services, this study investigated the influential factors that affect transit users’ choices of access and egress modes, includ- ing TNC or taxi, drive alone (park and ride), carpool (kiss and ride, carpool or shuttle),Micromobility modes (bike-sharing, scooters), walking, and wheelchair. The data for this study comes from a transit on-board survey conducted in Spring 2017 for the Orlando metropolitan area. Moreover, the Smart Location Database was also integrated to investi- gate how land use characteristics may contribute to users’ choice for access and egress modes. Separate multinomial logit models were developed to investigate the mode choice for access and egress links, respectively. Various personal, trip, and land use characteristics showed significant impacts. Particularly, trips going to airports or universities/colleges had much higher probabilities of using TNC for access and egress purposes, while sports events and medical visits were less likely to be connected through TNC services. Visitors were also less likely to start their trips with TNCs. A longer distance between the origin and the tran- sit service showed positive impacts on the use of TNC services. Higher household income also showed a positive influence on TNC usage. In view of land use characteristics, higher employment and household entropy, and high diversity at the origin reduced the probabil- ity of using motorized modes, including TNCs, for access purposes. On the destination side, high diversity seemed to encourage the use of TNCs and drive alone modes for egress purposes.
|بخشی از متن مقاله:|
۵۳ The rapid growth of technology-based transportation services has drastically altered the nature of transportation net-
۵۴ works as well as individuals’ travel behavior and lifestyle. Shared mobility, as one of the technology-based services, provides
۵۵ users an opportunity to use transportation services without the necessity to own a vehicle. Shared mobility companies allow
۵۶ travelers to have short-term access to various services, such as carsharing, ridesharing (including dynamic carpooling and
۵۷ ridesourcing), and bike-sharing services (Shaheen et al. ۲۰۱۶). The broad scope, flexibility, and high accessibility have
۵۸ brought tremendous growth for these services in the past few years. In 2015, six years after the introduction of Uber, as an
۵۹ example of ridesourcing services, it served one billion trips. Notably, Uber ridership reached 5 billion trips one year later
۶۰ (Uber 2017, Nasri et al. 2018).
۶۱ Given the growing acceptance and use of shared mobility services, understanding the potential impacts of these services
۶۲ on other transportation modes becomes critical. Shared mobility services could be a viable substitute for private mobility
۶۳ considering their user-friendliness, convenience, as well as cost-effectiveness features (Rahimi et al. ۲۰۲۰, Younes et al.
۶۴ ۲۰۱۹, Azimi et al. 2020). These services also hold the potential as a possible solution to solve the first/last mile problem pro-
۶۵ viding door-to-door mobility for individuals (Pinto et al. 2018, Rahimi et al. 2019).
۶۶ Accessibility is critical to transit usage (Kim et al. 2007). Moreover, walkability and safety of the environment are signif-
۶۷ icant factors that impact users’ propensity toward walking (Tilahun et al. 2016, Kim et al. 2007, Flamm and Rivasplata 2014).
۶۸ On the other hand, using private vehicles or personal bicycles might not be desirable due to the difficulty of finding a parking
۶۹ space, parking costs, and security concerns (Flamm and Rivasplata 2014). Given its characteristics, shared mobility might be
۷۰ a viable and sustainable access/egress substitute for private vehicles (Yan et al., 2019, Jaller et al. 2019, Alemi and Rowdier,
۷۱ ۲۰۱۷). An integrated network could encourage the use of public transportation, particularly in regions with low or medium
۷۲ land use density and poor transit services (Lavieri. 2018). Exploring the potentials of shared mobility as first/last mile con-
۷۳ nection to transit services will provide useful insights into the development of strategies and policies to improve transit
۷۴ accessibility and encourage sustainable mobility.
۷۵ Despite the remarkable potential, limited information is available on the effect of shared mobility services on public
۷۶ transportation, mostly due to a lack of data about these services and their potential users (Alemi et al. 2019). Although sev-
۷۷ eral studies focused on access or egress mode choice behavior, they mainly focused on conventional modes, such as walking,
۷۸ biking, and private vehicles. Only a few studies have examined the potential impacts of the emerging technologies and
۷۹ trends on public transportation (Jaller et al. ۲۰۱۹, Alemi and Rowdier, 2017, Curtis et al. ۲۰۱۹). Most existing studies
۸۰ employed agent-based modeling or simulation techniques to investigate the impacts of the integrated system. Very few
۸۱ incorporated a mode choice component that was able to capture modal shifts. There is a knowledge gap in user adoption
۸۲ behavior of shared mobility for first/last mile connection, and there are still a lot more to explore on the potential market
۸۳ of integrating shared mobility with transit services.
۸۴ Given the above discussions, this study intends to evaluate the potential of integrating transit and shared mobility ser-
۸۵ vices and investigate how these services may affect the transit market. This study contributes to the literature in two main
۸۶ aspects. First, while most existing studies used a simulation approach and focused only on the operational and performance
۸۷ aspect of the integration, this paper provides an empirical study in examining the user behavior and market characteristics of
۸۸ integrating shared mobility with transit services. A recent transit on-board survey was used to investigate the characteristics
۸۹ of the existing market of shared mobility as access or egress mode for transit. User characteristics and trip attributes are
۹۰ explored in terms of their impacts on individuals’ mode choice for access and egress purposes. Considering various types
۹۱ of contributing factors helps policymakers to gain better knowledge of the current market and potential motivations and
۹۲ limitations. Second, we investigated the impacts of the built environment on access/egress mode choice, various land
۹۳ use-related data were integrated with the survey data. The spatial patterns associated with the origins and destinations
۹۴ are assessed, and the effect of these characteristics on the use of shared mobility for first/last-mile connections are explored.
۹۵ Built environment and land use characteristics could have significant impact on mode choice behavior (Dieleman et al. 2002,
۹۶ Shaheen and Finson, 2003). Therefore, by considering the spatial pattern in the analysis, more effective and sustainable mea-
۹۷ sures can be implemented to improve accessibility to transit.
۹۸ This study provides valuable information for public transit agencies and private service providers to formulate regula-
۹۹ tions and policies and develop business models that enable the creation of integrated, multimodal, and sustainable mobility
۱۰۰ systems embracing emerging technologies and advancements. The next section provides an overview of current studies that
۱۰۱ investigated the potential impacts of shared mobility on public transit and the integration of these services with public
۱۰۲ transportation, followed by the description of the survey and land use data. The following sections present the applied
۱۰۳ methodology and model results. The last section discusses the main findings and potential topics for future research.
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