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Spatio-temporal differential memory attention model for traffic flow prediction, CAO Chunjie, et al.
2026-03-09 Top“Four chains””collaborative empowerment: a strategy research forhigh-quality development of the low-altitude economy throughmulti-path integration, LI Jun.
2025-09-18 TopLow-altitude trajectory planning for aircraft considering RAIM availability undercomplex terrain conditions, TANG Xinmin, et al.
more..Commuter bus accessibility evaluation in metropolitan area considering social equity
ZHOU Yuyang;HU Shilong;LI Zizi;LIU Dongmei;[Background] Owing to ongoing urbanization, China's metropolitan areas have expanded rapidly in number and scale. Accessibility and inequality in cross-jurisdictional bus services within metropolitan areas have become major factors shaping transport equity for urban residents.[Objective] This study examines the accessibility and equity of commuting bus services in metropolitan areas. It aims to reduce the disparities in bus service levels across jurisdictions and promote social equity. [Method] Based on the conventional cumulative-opportunity accessibility model, this study incorporates socioeconomic and spatial structure factors such as the per capita disposable income of urban residents, the number of metro-bus transfer opportunities, and the point of interest(POI) density of firms and housing. Subsequently, a commuting bus accessibility framework that accounts for social equity is developed. Based on this framework, the equity of transport resource allocation is quantified. [Data] The spatial locations of bus stops and routes; road network data from OpenStreetMap; and the per capita disposable income of urban residents from statistical yearbooks,as well as gridded population and housing price data. [Conclusion] Commuting accessibility in the Beijing-Northern Three Counties metropolitan area shows a clear center-periphery divide, with peripheral areas indicating relatively limited access to opportunities. For long-distance commuting, bus services provide more inclusive coverage and can improve equity while increasing the overall accessibility. In general, Beijing has higher accessibility, although its uneven resource distribution creates an equity gap. Meanwhile, the Northern Three Counties show a more balanced spatial match between transport supply and housing. [Application] On the supply side, edge-core commuting corridors should be prioritized. Routes and headways should be optimized to strengthen rapid connections. To reinforce basic services in the Northern Three Counties, more bus resources should be directed to areas with low-to-mid housing prices and concentrated demand. On the operations side, differentiated services and smart scheduling should be implemented. These actions should be paired with demand-management tools such as commuter-fare discounts. Collectively, they can improve the equity of access opportunities across population groups in the metropolitan area.
Channel-based responsive bus route optimization under low travel density
DENG Qinyuan;QIN Yaqin;QIAN Zhengfu;[Background] The phenomenon of “separation of work and residence” caused by the development of urban suburbanization has intensified the operational burden and service supply difficulty of public transit in low-density areas. [Objective] Therefore, a design method for public transportation service areas based on the distribution characteristics of residents' travel is proposed, and a responsive public transportation path optimization model is further constructed to improve the intensive operation level and economic benefits of the public transportation system. [Method] Firstly, a channel service area design model based on travel density was constructed to determine the width of the public transportation service area; Then, with the goal of minimizing the total system cost, a channel-based responsive bus route optimization model with time windows and simultaneous passenger pick-up and drop-off constraints was constructed, and an improved artificial bee colony algorithm was designed for targeted solution. [Data] Based on the OD data of passenger flow in Lufeng City, it is found that under the phenomenon of “separation of work and residence” in small and mediumsized cities, passenger flow has the characteristic of “channel travel”, which provides data support for problem analysis and model training. [Conclusion] Compared with the traditional responsive bus model, it is found that in low travel density areas of small and medium-sized cities, the channel based responsive public transportation path optimization model can reduce comprehensive costs by43.0%, save passenger travel time by 39.8%, and significantly improve the economic benefits and service quality of public transportation.
Nonlinear effects analysis of the competitive and cooperative relationship between shared bikes and subways from a built environment perspective
MA Jianbing;ZHANG Yihan;ZHANG Yongqi;[Background] As an important mode of public transportation in medium-to large-sized cities, subways effectively address the primary commuting requirements of urban residents over medium to long distances. Meanwhile, bike-sharing, as an emerging short-distance travel mode, provides an essential solution for bridging the “last mile” gap. The interaction patterns between these two modes directly affect the travel choices of residents and the overall efficiency of urban transport systems. [Objective] This study aims to explore how optimizing the built environment can promote a more harmonious and effective cooperative-competitive relationship between bike-sharing systems and subways, which can be categorized into three typical patterns: extension travel, competitive travel, and supplementary travel, thereby enhancing the overall efficiency and sustainability of the urban transportation system. [Method] Based on land-use characteristics, transportation facility attributes,and socioeconomic attributes, 17 built environment indicators, including the number of parking lots,Shannon entropy of land use, average housing price, and population size, are used as independent variables, whereas shared-bike ridership under the three travel modes is adopted as the dependent variable. An XGBOOST model optimized through a random search for hyperparameter tuning was established, and SHAP interpretability analysis was employed for variable importance analysis.[Result] The model evaluation results indicate that the R2 values for the test sets of the extension trip and competition trip models were 0.84 and 0.82, respectively, while the R2 value for the supplementary trip model was 0.76. [Conclusion] SHAP analysis further revealed the nonlinear impact of parking availability, proximity to the city center, and population density on the competitive and cooperative relationships between shared bikes and subway systems. The effect of parking availability first decreases and then increases, with extension travel remaining relatively stable, whereas supplementary travel follows an S-shaped curve, with diminishing marginal effects after reaching a certain threshold. Regarding proximity to the city center, the impact on shared-bike usage initially increased and then decreased. Specifically, the demand for extension travel was higher within 20 km, whereas competitive travel decreased with increasing distance, and the demand for supplementary travel diminished beyond 15 km. In terms of population density, there was an S-shaped growth in the demand for extension and supplementary travel, with a significant increase in shared bike demand in high-density areas. However, competitive travel was less influenced by the population density and depended more on the availability of subways and other public transportation options. [Application] The findings offer valuable insights for urban transportation planning. In areas with fewer parking facilities, increasing shared-bikes deployment can enhance short-distance transfer efficiency. Additionally, in areas within 20 km of the city center, strengthening the integration between shared bikes and subways can significantly improve the transfer experience. By optimizing the built environment, shared-bike usage can be increased, reliance on private cars reduced, traffic carbon emissions minimized, and a more sustainable and green transportation system can be achieved.
Low-carbon travel mode choice based on nudge theory
QIN Huanmei;ZHANG Yonghuan;YANG Fan;WEN Xiaohuan;[Background] Against the backdrop of accelerating urbanization and rising carbon emissions from transportation, nudge interventions are garnering increasing scholarly interest for their role in steering public behavior towards low-carbon transportation options. [Objective] This study aims to explore the impact of nudge interventions on low-carbon travel mode choices during shortdistance commuting to provide a scientific foundation for the formulation of low-carbon travel policies. [Method] Two types of nudge interventions were designed: information disclosure and social norms. Data were collected through a travel mode choice behavior survey and analyzed using a multinomial logit model(MNL) to quantify the influencing factors. [Data] Data were collected from 476 commuters in Beijing, representing diverse occupations, income levels, and travel habits. [Result]The implementation of information disclosure and social norm-based nudge interventions increased the probability of low-carbon travel mode selection by 15% and 18%, respectively, and prescriptive social norms demonstrated superior efficacy in promoting bicycle usage. The effectiveness of these interventions showed significant heterogeneity across occupational groups, income levels, and travel routines. Furthermore, travel time and cost acted as critical moderators, as the intervention effects progressively diminished with extended driving duration or increased monetary expenditure. [Application] These findings provide a theoretical foundation for policymakers to develop tailored low-carbon transportation policies, particularly by designing specific nudge strategies targeting distinct demographic subgroups differentiated by occupational characteristics and socioeconomic status.
Evaluation of the substitution potential of metro-integrated multimodal travel in the MaaS environment
LI Wenxiang;LIU Bo;YUAN Xuanyu;SHEN Ruitao;CHEN Peiyan;[Background] An integrated mobility-as-a-service(MaaS) platform facilitates seamless metro-multimodal connections, improving accessibility and reducing reliance on private cars, thereby alleviating urban congestion. [Objective] Using ride-hailing trips as a benchmark, this study assesses the substitution potential of metro-integrated multimodal travel in the MaaS environment. It identifies the key factors influencing this substitution. [Method] First, based on the MaaS platform,the metro system is integrated with green travel modes such as conventional buses, shared bicycles,and ridesplitting to design ten types of metro-integrated multimodal travel substitution schemes,which are then matched to ride-hailing trips according to connection distances. Next, a comprehensive benefit evaluation method is proposed that incorporates economic gains, carbon-reduction benefits, and time costs to assess the substitution potential of metro-integrated multimodal travel. Finally, a CatBoost machine learning model is developed to predict the substitutability of ride-hailing trips under different conditions, and accumulated local effect(ALE) plots are used to explore the nonlinear effects of influencing factors. [Data] Empirical analysis is conducted using ride-hailing order data from Shanghai. [Result] The results show that approximately 56% of ride-hailing trips can be substituted by metro-integrated multimodal travel schemes, with the highest substitutability(exceeding 80%) observed in central urban areas. Key factors affecting ride-hailing substitutability include ride-hailing travel distance, proportion of travel delay, substitution scheme, distance of the metro-integrated multimodal trip, and built-environment characteristics around origins and destinations. [Conclusion] The study confirms the substantial potential of metro-integrated multimodal travel to reduce dependence on private cars in the MaaS environment. It also provides policymakers with evidence-based insights to optimize MaaS systems and increase the share of urban public transportation.
About Journal
Founded in 2003, Bimonthly
Competent Authority：Ministry of Education of PRC
Sponsor：Southwest Jiaotong University
Editor in Chief： LIU Xiaobo; HE Zhengbing
E-mail：jtt@swjtu.edu.cn
ISSN ：1672-4747
CN ：51-1652/U
Impact Factor: 3.245
Category Ranking: 7/169
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