Most of the current existing accessibility measures quantify the potential of reaching desirable opportunities across space and time.Nevertheless,these potential measurements only illus-trate the maximum possible acce...Most of the current existing accessibility measures quantify the potential of reaching desirable opportunities across space and time.Nevertheless,these potential measurements only illus-trate the maximum possible accessibility a person can have,which may not accurately measure real-world transit accessibility in urban areas.This paper introduces a novel methodology to measure positive public transit accessibility based on multi-source big public transit data such as Smart Card Data(SCD)and Global Navigation Satellite System trajectory data,which embed rich travel information and real-world spatio-temporal constraints.First,we use multi-source transit data to reconstruct trip chains,which are used to extract popular destinations.A novel transit accessibility measure is defined to account for latent trip information such as mode/route preference,opportunity attraction,and travel impedance that are difficult to capture explicitly via traditional normative measures.Finally,we produce accessibility maps to visualize time-varying and heterogeneous accessibility patterns distributed over the study region.We performed an empirical evaluation on real-world transit data collected in Shenzhen City,China,demonstrating the applicability and effectiveness of the proposed method in mapping positive transit accessibility over large metropolitan areas.The results and findings of the empirical study demonstrate that the proposed positive accessibility measure can better capture travel behavior characteristics and constraints than traditional normative measures.The measure-ment method can be used as a practical high-resolution mapping tool for transit decision makers in evaluating public transit systems,supporting strategic transit planning,and improv-ing daily transit management.展开更多
通过文本分析法和网络调研法,发掘美国科学公共图书馆(Public Library of Science,PLOS)开放科学服务的路径与运作模式,讨论PLOS开放科学服务的特点和发展模式。建议我国依据发展趋势、制定符合国情和科技发展水平的开放科学政策、实现...通过文本分析法和网络调研法,发掘美国科学公共图书馆(Public Library of Science,PLOS)开放科学服务的路径与运作模式,讨论PLOS开放科学服务的特点和发展模式。建议我国依据发展趋势、制定符合国情和科技发展水平的开放科学政策、实现路径、机制、工作模式以及学术出版模式的创新,推动新兴技术、工具在开放科学的应用,提高出版平台对发布成果的及时评价反馈和宣传推广,为我国全面融入开放科学全过程、全方位提升服务能力提供保障。展开更多
The diurnal shifts in population distribution increase uncertainty in healthcare demand patterns,posing a substantial challenge to the traditional principles of healthcare facility allocation.This has generated a subs...The diurnal shifts in population distribution increase uncertainty in healthcare demand patterns,posing a substantial challenge to the traditional principles of healthcare facility allocation.This has generated a substantial demand near workplaces.In response,this paper introduces the worktime population.It combines residents and workers with convenient healthcare access near workplaces,offering a comprehensive measure of healthcare demand.Using Beijing as a case,we explore the unique distributions and scales of healthcare demands,considering both residential and worktime populations.Through meticulous analysis,we evaluate healthcare accessibility for these groups and compare their spatiotemporal variations.Our findings highlight significant statistical and spatial disparities in healthcare demand and accessibility between worktime and residential populations.Overall,healthcare demand from worktime populations surpasses that of residential populations,while accessibility is lower for worktime populations.Traditional accessibility metrics often neglect commuter demands,especially in business and technical districts.Incorporating working-hour constraints further diminishes the accessibility advantage of city centers.These insights facilitate more precise,strategic healthcare facility allocation,assisting policymakers and urban planners enhancing equitable access and mitigating spatial inequities.展开更多
基金This work was supported by the National Natural Science Foundation of China[grant number 41871308]the National Key R&D Program of China(International Scientific&Technological Cooperation Program)[grant number 2019YFE0106500]the Fundamental Research Funds for the Central Universities.
文摘Most of the current existing accessibility measures quantify the potential of reaching desirable opportunities across space and time.Nevertheless,these potential measurements only illus-trate the maximum possible accessibility a person can have,which may not accurately measure real-world transit accessibility in urban areas.This paper introduces a novel methodology to measure positive public transit accessibility based on multi-source big public transit data such as Smart Card Data(SCD)and Global Navigation Satellite System trajectory data,which embed rich travel information and real-world spatio-temporal constraints.First,we use multi-source transit data to reconstruct trip chains,which are used to extract popular destinations.A novel transit accessibility measure is defined to account for latent trip information such as mode/route preference,opportunity attraction,and travel impedance that are difficult to capture explicitly via traditional normative measures.Finally,we produce accessibility maps to visualize time-varying and heterogeneous accessibility patterns distributed over the study region.We performed an empirical evaluation on real-world transit data collected in Shenzhen City,China,demonstrating the applicability and effectiveness of the proposed method in mapping positive transit accessibility over large metropolitan areas.The results and findings of the empirical study demonstrate that the proposed positive accessibility measure can better capture travel behavior characteristics and constraints than traditional normative measures.The measure-ment method can be used as a practical high-resolution mapping tool for transit decision makers in evaluating public transit systems,supporting strategic transit planning,and improv-ing daily transit management.
文摘通过文本分析法和网络调研法,发掘美国科学公共图书馆(Public Library of Science,PLOS)开放科学服务的路径与运作模式,讨论PLOS开放科学服务的特点和发展模式。建议我国依据发展趋势、制定符合国情和科技发展水平的开放科学政策、实现路径、机制、工作模式以及学术出版模式的创新,推动新兴技术、工具在开放科学的应用,提高出版平台对发布成果的及时评价反馈和宣传推广,为我国全面融入开放科学全过程、全方位提升服务能力提供保障。
基金National Natural Science Foundation of China,No.42301190China Postdoctoral Science Foundation,No.2023M730493。
文摘The diurnal shifts in population distribution increase uncertainty in healthcare demand patterns,posing a substantial challenge to the traditional principles of healthcare facility allocation.This has generated a substantial demand near workplaces.In response,this paper introduces the worktime population.It combines residents and workers with convenient healthcare access near workplaces,offering a comprehensive measure of healthcare demand.Using Beijing as a case,we explore the unique distributions and scales of healthcare demands,considering both residential and worktime populations.Through meticulous analysis,we evaluate healthcare accessibility for these groups and compare their spatiotemporal variations.Our findings highlight significant statistical and spatial disparities in healthcare demand and accessibility between worktime and residential populations.Overall,healthcare demand from worktime populations surpasses that of residential populations,while accessibility is lower for worktime populations.Traditional accessibility metrics often neglect commuter demands,especially in business and technical districts.Incorporating working-hour constraints further diminishes the accessibility advantage of city centers.These insights facilitate more precise,strategic healthcare facility allocation,assisting policymakers and urban planners enhancing equitable access and mitigating spatial inequities.
