Using the built environment to oversample walk,transit, and bicycle travel

Characteristics of the built environment (BE) have been associated with walk, transit, and bicycle travel. These BE characteristics can be used by transportation researchers to oversample households from areas where walk, transit, or bicycle travel is more likely, resulting in more observations of these uncommon travel behaviors. Little guidance, however, is available on the effectiveness of such built environment oversampling strategies. This article presents measures that can be used to assess the effectiveness of BE oversampling strategies and inform future efforts to oversample households with uncommon travel behaviors. The measures are sensitivity and specificity, positive likelihood ratio (LR+), and positive predictive value (PPV). To illustrate these measures, they were calculated for 10 BE-defined oversampling strata applied post-hoc to a Seattle area household travel survey. Strata with an average block size of <10 acres within a ¼ mile of household residences held the single greatest potential for oversampling households that walk, use transit, and/or bicycle.     

Multi-step prediction of experienced travel times using agent-based modeling

This paper develops an agent-based modeling approach to predict multi-step ahead experienced travel times using real-time and historical spatiotemporal traffic data. At the microscopic level, each agent represents an expert in a decision-making system. Each expert predicts the travel time for each time interval according to experiences from a historical dataset. A set of agent interactions is developed to preserve agents that correspond to traffic patterns similar to the real-time measurements and replace invalid agents or agents associated with negligible weights with new agents. Consequently, the aggregation of each agent’s recommendation (predicted travel time with associated weight) provides a macroscopic level of output, namely the predicted travel time distribution. Probe vehicle data from a 95-mile freeway stretch along I-64 and I-264 are used to test different predictors. The results show that the agent-based modeling approach produces the least prediction error compared to other state-of-the-practice and state-of-the-art methods (instantaneous travel time, historical average and k-nearest neighbor), and maintains less than a 9% prediction error for trip departures up to 60 min into the future for a two-hour trip. Moreover, the confidence boundaries of the predicted travel times demonstrate that the proposed approach also provides high accuracy in predicting travel time confidence intervals. Finally, the proposed approach does not require offline training thus making it easily transferable to other locations and the fast algorithm computation allows the proposed approach to be implemented in real-time applications in Traffic Management Centers.     

Estimating travel time functions for urban roads: options and issues

Travel time functions specify the relationship between the travel time on a road and the volume of traffic on the road. Until recently, the parameters of travel time functions were rarely estimated in practice; however, a compelling case can be made for the empirical examination of these functions. This paper reviews, and qualitatively evaluates, a range of options for developing a set of travel time functions. A hierarchy of travel time functions is defined based on four levels of network detail: area, corridor, route and link. This hierarchy is illustrated by considering the development of travel time functions for Adelaide. Alternative sources of data for estimating travel time functions are identified.

In general, the costs and benefits increase as the travel time functions are estimated at finer levels of network detail. The costs of developing travel time functions include data acquisition costs and analysis costs. The benefits include the potential for reducing prediction errors, the degree of application flexibility and the policy sensitivity of the travel time functions.     

Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data

The objective of this study is to analyse the diurnal rhythms of city life and its spatial differences in Tallinn, using mobile telephone positioning data. The positioning experiment was carried out in April 2006 over an 8-day period and 15-min intervals, with a random sample of 277 respondents living in new residential areas outside the city of Tallinn.The investigation of the space–time movements and daily distances of respondents showed that the majority of respondents had a similar temporal rhythm related to work, school, services and leisure in the city. Because of the different timing of those activities, the mobile positioning data made it possible to map functional differences in the city. The advantages and disadvantages of mobile positioning data in mapping urban life are discussed in the final section of the study.     

内河航道智能微型测量船的设计与应用研究

传统的航道水深测量方式，测量成本较高，而且，很多情况下，由于水浅等原因，较大的常规测量船不能到达，而难以测量．文中介绍了航道水深测量遥控测量船的设计原理和应用情况．遥控船上安装有测量系统，能够实现远程手动遥控测量和按预定航线自动导航测量．该船吃水浅、航速快、稳性好、遥控距离远，有2套动力系统，可远程自由切换，安全性高．2011年投入使用以来，取得了较好的效果．     

Public Perception of Ocean Governance and Marine Resources Management in Taiwan

Understanding public perception of the oceans, and relationship between society and the sea is an important key to the sustainable management of marine resources. This research reports the first population-based survey on Taiwanese public knowledge, attitudes, and actions on marine-related issues. The stratified random sampling by county was completed with 1,120 telephone respondents from October to December 2010. More than 60% of the respondents have heard about global warming, sea-level rising, the Gulf of Mexico oil spill, the coral reef bleaching crisis, and Japan whaling fisheries. However, less than 20% of the respondents are aware of Taiwanese domestic marine policies, such as the Ocean White Paper. On resources conservation, 74.7% of the respondents support the bluefin tuna catches regulations and 76.6% agree that the shark fin fisheries will impact shark resources. Education and age are the major affecting variables for resource conservation and knowledge. Higher education and age 40–49 are most supportive of conservation measures. For marine recreational activities, 42.2% of the respondents can swim, and 44.2% of the respondents had not visited the beach in the previous year. The results suggest that the government could establish a specialized agency to strengthen its marine policy and take more actions to protect ocean environment and conserve marine resources. To encourage more Taiwanese to participate in ocean recreational activities, the government could build a safe facility for marine recreation, cooperate with the private sectors in education, and provide outreach to raise public awareness of the oceans.     

海上安全信息船舶收听率统计方法研究

通过对海岸电台覆盖范围内船舶接收安全信息情况的统计，可获知信息中心发布的信息资源的利用率，有利于工作人员选择合适的播发方式播发海上安全信息以获取更高的信息覆盖面。以统计学理论为基础建立了一种海上安全信息船舶收听率统计模型，并以实例进行分析，验证了所提模型的可靠性和实用价值。     

Measuring community reaction to urban transportation impacts using Von Neumann‐Morgenstern utility theory

This paper attempts to measure the impacts of urban transportation system improvements or changes on the community. The community's perceptions of the impacts are represented by its utilities (or disutilities) over various ranges of values of the multiple attributes representing these impacts. The utility technique used in the evaluation is based upon von Neumann‐Morgenstern (vN‐M, 1947) Utility Theory, and is applied using Raiffa's (1970) Fractile Method.

The paper specifically applies the technique to model the perceptions of five subgroups within a community to the impact of a new light rail transit system that is being incorporated in the transportation system of the City of Calgary.

Results of the modeling indicate explicitly how the community changes its perception over ranges of values of the attributes evaluated. Biases of various subgroups within the community over these attributes are also shown. Statistical tests indicate that aggregated utility perceptions can represent the utility perceptions of the individual subgroups quite reasonably.     

高职学生社会公德意识调查与分析

本文通过对高职学生社会公德意识现状的调查及数据分析,提出了优化高职学生公德意识的途径.     

限界检测车在南京地铁10号线贯通测量中的运用

对限界检测车原理、工作方式等进行了介绍,并结合南京地铁10号线的工期、线路长度、冷热滑时间安排等因素,首次把限界检测车引入到了南京地铁限界检测中,实现了对整个南京地铁10号线全线区间及城西路停车场的快速、准确检测,使南京地铁10号线在通车之后未发生一起电客车擦碰事件,保证了运营安全。