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Tourism has become an engine for economic growth, but its rapid expansion has also triggered global ecological issues. Tourism ecological security has become a crucial constraint on urban sustainable development. In this context, "all-for-one" tourism leverages its advantage in driving regional resource integration, promoting coordinated urban-rural development, and advancing the implementation of China's rural revitalization strategy. Therefore, this paper aims to analyze the tourism ecological security of the Chengdu-Chongqing urban agglomeration from an "all-for-one" tourism perspective. It further dissects this framework into production and tourism ecological protection stages, evaluate the tourism ecological security level of this urban agglomeration from 2011 to 2020 through the dynamic super-efficiency network SBM (Slack-Based Measure) model, and explore the driving factors of the two stages by using geographical detectors. And the Dagum Gini coefficient is used to identify regional disparities. The results indicate that Chongqing has the highest tourism ecological security efficiency at 1.41, while Chengdu scores only 1.0, suggesting that Chengdu needs to prioritize ecological concerns compared to Chongqing. Furthermore, five cities have efficiency values below 1, highlighting the need for secondary cities to tap into their potential and strive for balanced development within the urban agglomeration. The paper proposes improvement frameworks tailored to each region's unique circumstances and offers relevant recommendations for governments, businesses, and the tourism industry, aiming to provide guidance for the sustainable development of urban ecology and tourism. [ABSTRACT FROM AUTHOR]

This paper investigates a location problem of public charging stations for electric vehicles with the objective of CO 2 emissions minimization through massive GPS-enabled trajectory data. The problem considers two distinct features, including CO 2 emissions generated in round trips to charging stations and remaining electricity restrictions on charging decisions. A data-driven and particle swarm optimization-based intelligent optimization approach is developed to handle this problem. We then present how to implement this approach by using taxi trip data in Chengdu, China as case data and explore how much data could reflect effectively the travel patterns of an area. The results of case study show that one-week taxi trip data are sufficient to handle the investigated problem. The results also validate the necessity of considering two realistic features, including CO 2 emissions in round trips to charging stations and remaining electricity restrictions on charging decisions, in charging station location problems. It can lead to (1) the reduction of daily CO 2 emissions captured by about 0.14–0.37 ha of forests in one year, and (2) 0.85%–2.64% more charging demands being satisfied per day. Flowchart of the proposed intelligent approach. Image 1010 • A location problem of public charging stations based on GPS-enabled trajectory data is studied. • A data-driven PSO-based intelligent optimization approach is proposed. • One-week data could reflect the travel patterns of a region well. • The impacts of two important realistic features are considered. [ABSTRACT FROM AUTHOR]

This study presents an event-driven discrete-event simulation (EDDES) approach based on an O2DES framework for a one-way electric carsharing system (OECS). The developed model mainly consists of three modules: station, electric vehicle (EV), and link. The system carefully considers the impact of road congestion on travel speed and designs a detailed charging process for EVs to approximate the real world. Based on the high speed of EDDES, a simulation-optimization framework that jointly determines station capacities, fleet size, and trip pricing to maximize the net revenue of operators is proposed. A simultaneous perturbation stochastic approximation (SPSA) algorithm is adopted to solve this problem. A case of EVCard in Chengdu is conducted to demonstrate the efficiency of the proposed framework. Several control experiments focusing on various pricing schemes are introduced to verify the advantage of optimization results further. Moreover, a one-way gasoline carsharing system (OGCS) is optimized to contrast with optimal OECS. These comparisons reveal some interesting findings: (1) from the perspective of operators, employing dynamic pricing achieves at least a 57.03% increase in net revenue compared to fixed pricing strategies; (2) from service, the optimal configurations and trip pricing of OECS effectively avoids vehicle overstock at stations; and (3) in terms of greener production, the optimal OECS could sustain a larger fleet size and a higher degree of cleaner production, and its profit generated by per CO 2 emission is over six times higher than that of the optimal OGCS. • This paper proposes an event-driven simulation model for electric carsharing systems. • The charging speed, range anxiety, and state of charge (SOC) are considered. • A simulation-optimization method is proposed for seeking the optimal system designs. • A simultaneous perturbation stochastic approximation is implied to solve the issue. • The greenhouse gas emission is captured to analyze the degree of green production. [ABSTRACT FROM AUTHOR]

Bike-sharing is being widely used in many cities in China and gradually penetrated people's daily habits. However, because there are so many bicycle providers in the market, companies need to develop differentiated service strategies to compete in this homogenized market. Therefore, this paper examined the current bike-sharing enterprise service level in Chengdu, constructed a evaluation index system with 17 indicators under four main dimensions: perceptibility, availability, reliability, and sustainability; Developed a multi-stage hybrid fuzzy best and worst method (BWM) and Visekriterijumska Optimizacija i Kompromisno Resenje (VIKOR) method to evaluate bike-sharing service levels, understand user perceptions, and enable decision-makers to make more accurate and reliable judgments under uncertain conditions. This research provided a new comprehensive decision-making tool that the evaluation results could help managers improve their performances targeted, provide users with higher quality products and services, and contribute to the long-term development of companies. • A hybrid fuzzy BWM-VIKOR MCDM method to evaluate bike-sharing service in Chengdu. • An index system with 17 criteria and 4 dimensions to assess bike-sharing service. • It provides bike-sharing managers with valuable insights about their ranking. • We found that Meituan has the highest service level, followed by Hello and Qingju. • The evaluation results could help managers improve their performances targeted. [ABSTRACT FROM AUTHOR]

Cities are faced with booming populations, limited resources, and intensified pollution. To remain its sustainability and resilience against the varying environment, a city has to tackle the challenges from both the nature and human ourselves. This paper aims at evaluating the sustainability and resilience of cities in terms of their capabilities for maintaining, in face of potential threats in the future. Five subsystems, i.e. economy, environment, population, resource, science & technology are incorporated in the conceptual framework of linked urban sustainability and resilience. Through scenario simulations, we measure the performance of system elements and evaluate the resilience process with water resources trial when disturbance occurs. With Chengdu, China as the case, we have found that: (1) Limited water resources could not meet the basic demand well, and the quality could not be significantly improved till 2035 under the current path, and the modifications could be done with ongoing strategies. (2) Impacts of disturbances could be largely expanded in resource-dependent period, for which improving resource use efficiency and conducting industry structural adjustment could make cities more resilient. (3) The greater the presence of resilience system elements, the more developed the sustainability system. • A dynamic hybrid framework system of urban sustainability and resilience is constructed. • The performance of sustainability system elements is measured through scenario simulations. • Disturbance is introduced in for evaluating urban resilience. • The greater the presence of resilience system elements, the more developed the sustainability system. [ABSTRACT FROM AUTHOR]