Average Travel Time Research Articles

The system-wide effects of dispatch, response and operational performance on emergency medical services during Covid-19

In this paper, we analyze the Fire Department of New York City’s pre-hospital emergency medical services dispatch data for the period of March 20, 2019–June 13, 2019, and the corresponding Covid lockdown period of March 20, 2020–June 13, 2020. A fixed effects negative binomial model is used to estimate the heterogeneity effects of average ambulance travel or response times on the daily volume of emergency calls, year, day of the week, dispatcher-assigned medical emergency call type, priority rank, ambulance crew response, borough and an offset for missing calls. We also address the limitations of other non-parametric Covid studies or parametric studies that did not properly account for over-dispersion. When our model is estimated and corrected for clustered standard errors, fixed effects, and over-dispersion, we found that Wednesday was the only day of the week that was most likely to increase travel response time with an odd ratio of 6.91%. All grouped call types that were categorized showed significant declines in average travel time, except for call types designated as allergy and an odds ratio of 21.81%. When compared to Manhattan, Staten Island ambulance response times increased with an odds ratio of 19.05% while the Bronx showed a significant decline with an odds ratio of 31.92% advanced life support (ALS) and BLS ambulances showed the biggest declines in travel time with the exception of BLS assigned ambulance types and emergency priority rank of 6. Surprisingly, in terms of capacity utilization, the dispatch system was not as overwhelmed as previously predicted as emergency call volume declined by 8.83% year over year.

Measurement and Prediction of Urban Land Traffic Accessibility and Economic Contact Based on GIS: A Case Study of Land Transportation in Shandong Province, China.

As the basic support of regional economic and social development, land transportation is one of the important engines to promote regional development, and its construction and improvement will have an important impact on the regional economic pattern. Based on the road network of Shandong Province, China, in 2020, according to the Medium and Long-term Development Plan of Comprehensive Transportation Network of Shandong Province (2018-2035), this paper uses the GIS network analysis method, weighted average travel time, modified gravity model and other methods to study the land traffic accessibility and economic relation intensity of prefecture-level cities in Shandong Province, China, in 2020 and 2035. The results show that the distribution of land traffic accessibility in Shandong Province, China, shows a certain regional main road pointing characteristic in 2020, and the urban accessibility level gradually decreases along the Beijing-Shanghai high-speed railway and Jinan-Qingdao high-speed railway to the periphery. In 2035, the land traffic accessibility of Shandong Province, China, will be more spatially distributed as "concentric circles". From 2020 to 2035, the urban land traffic accessibility and the balance of economic contact in Shandong Province, China, will be improved significantly. The research results can provide a theoretical reference for optimizing the traffic network pattern and promoting urban economic contact in Shandong Province, China.

Sensitivity of Travel Reliability Measures to Major System Changes

The performance-based planning and programming approach established by the Moving Ahead for Progress in the 21st Century Act (MAP-21) has necessitated the process of estimating congestion (delay) and reliability benefits from transportation system improvements. Agencies are experiencing a shift in policy focus from the average travel time to the reliability of travel time. By examining empirical data on before-and-after archived travel times at identified project locations to find evidence of observed reliability benefits, this paper addresses a gap in the literature about the overall role that reliability benefit estimations play in the decision-making process during transportation project prioritization, and the relative effects of different strategies on different reliability measures. In the process, the study investigated why and how the way the reliability measures are defined can affect their ability to capture the impacts (and benefits) of major system changes. Data for four different broad improvement categories and three different reliability performance measures (planning time index-95 [PTI95], planning time index-80 [PTI80], and level of travel time reliability [LOTTR]) revealed varying impacts of different strategies on different measures. PTI80 was better able to capture ground-level benefits experienced by most travelers and showed higher sensitivity to system improvements than PTI95. Another key finding was that LOTTR’s threshold-based definition limited its ability to capture observed reliability benefits accurately. The results provide a picture of magnitude and relative levels of observed benefits from different system improvements, which could help planners and practitioners better understand, anticipate, and incorporate the benefits expected from planned changes.

Incorporating Exercise Efficiency to Evaluate the Accessibility and Capacity of Medical Resources in Tibet, China.

Supplementary material is available in the online version of this article at 10.1007/s11769-022-1321-1.

Pengaruh Pemberian Gymnastic Exercise Terhadap Keseimbangan Anak Usia 11-12 Tahun di SD N 03 Banjarharjo Kabupaten Karanganyar

Physical education learning Physical education learning at SD N 03 Banjarharjo was disrupted due to the covid-19 outbreak that hit the world, this made learning abolished which resulted in physical education learning being entirely done online. This makes the lack of balance and other activities. The purpose of this study was to determine the effect of giving gymnastics exercise on the balance of children aged 11 to 12 years at SD N 03 Banjarharjo. The method used in this research is experimental. experiment. The research method used to find the effect of certain treatments on others under controlled conditions. This study uses the One-Group Pretest Posttest DesignFrom the results of the study, it can be seen that based on the frequency distribution in the categorization of assessments, it can be seen that the data on balance skills skills of SDN 03 Banjarharjo students aged 11-12 years are 3 students (9%%) very good category, as many as 8 students (24.3%) good category, as many as 16 students (48.5%) in good enough category, as many as 6 students (18.2%) in poor category, and as many as 0 students (0%) in very poor category.
 From this study it can be concluded that there is a significant effect of gymnastics training on improving the balance of children aged 11-12 years at SDN 03 Banjarharjo, with t count 4.370 > t table 2.040 and sig 0.000 <0.05. The mean result of the pretest was 0.92 seconds and the posttest was 3.53 seconds. This shows that the average travel time for the balance skills test after treatment is longer, which means there is an increase in the balance skills of children aged 11-12 years at SDN 03 Banjarharjo. In this study, the product moment result was 0.617 which showed a positive effect. Suggestions for physical education teachers can use the results of this study as a guide to improve student balance at SD N 03 Banjarharjo.

Geographic accessibility to public and private health facilities in Kenya in 2021: An updated geocoded inventory and spatial analysis.

To achieve universal health coverage, adequate geographic access to quality healthcare services is vital and should be characterized periodically to support planning. However, in Kenya, previous assessments of geographic accessibility have relied on public health facility lists only, assembled several years ago. Here, for the first time we assemble a geocoded list of public and private health facilities in 2021 and make use of this updated list to interrogate geographical accessibility to all health providers. Existing health provider lists in Kenya were accessed, merged, cleaned, harmonized, and assigned a unique geospatial location. The resultant master list was combined with road network, land use, topography, travel barriers and healthcare-seeking behavior within a geospatial framework to estimate travel time to the nearest (i) private, (ii) public, and (iii) both (public and private-PP) health facilities through a travel scenario involving walking, bicycling and motorized transport. The proportion of the population within 1 h and outside 2-h was computed at 300 × 300 spatial resolution and aggregated at subnational units used for decision-making. Areas with a high disease prevalence for common infections that were outside 1-h catchment (dual burden) were also identified to guide prioritization. The combined database contained 13,579 health facilities, both in the public (55.5%) and private-for-profit sector (44.5%) in 2021. The private health facilities' distribution was skewed toward the urban counties. Nationally, average travel time to the nearest health facility was 130, 254, and 128 min while the population within 1-h was 89.4, 80.5, and 89.6% for the public, private and PP health facility, respectively. The population outside 2-h were 6% for public and PP and 11% for the private sector. Mean travel time across counties was heterogeneous, while the population within 1-h ranged between 38 and 100% in both the public sector and PP. Counties in northwest and southeast Kenya had a dual burden. Continuous updating and geocoding of health facilities will facilitate an improved understanding of healthcare gaps for planning. Heterogeneities in geographical access continue to persist, with some areas having a dual burden and should be prioritized toward reducing health inequities and attaining universal health coverage.

The impact of traffic on equality of urban healthcare service accessibility: A case study in Wuhan, China

Accessibility to healthcare services strongly correlates with residents' health. As one of the objectives of sustainable cities, the social equality of access to healthcare plays a vital role in the rational allocation of healthcare facilities. However, limited attention has been paid to how the varying traffic conditions impact the equality of access to public service among places or demographic groups. Taking Wuhan, China, as the study area, this paper measured the hourly accessibility to healthcare by using two methods: Gaussian Two-Step Floating Catchment Area and Weighted Average Travel Time. Then, it investigated how traffic conditions affected the equality of healthcare services among places or demographic groups at different times. We found that traffic conditions change the accessibility by extending travel time and reducing the likelihood of obtaining healthcare services during peak hours, especially for suburban residents. Regarding equality evaluation, the impact of traffic variability on equality across places is much more significant than that on equality across demographic groups. The results highlight the effects of transport on the equal accessibility of healthcare and provide suggestions to minimise spatial and demographic disparities in healthcare services, meet the need of Sustainable Development Goals, and develop a more sustainable and inclusive society.

Measures of accessibility incorporating time reliability for an urban rail transit network: A case study in Wuhan, China

Time Reliability (TR) affects the accessibility of an Urban Rail Transit Network (URTN), which refers to the reachability of destination stations in this paper. However, existing studies do not incorporate TR into accessibility metrics when measuring a URTN’s accessibility. Here, the Buffer Time Index (BTI), which is the ratio of extra “buffer” time needed for arriving reliably to the average Travel Time (TT), is used to measure TR. Time-based, cost-based, and timebound-destination-reachability metrics which incorporate TR are proposed to measure the accessibility of a URTN. A Monte Carlo simulation is applied to estimate TR according to the probability distributions of TT components, which overcomes the difficulty of obtaining many passengers’ data. The accessibility of Wuhan’s URTN during weekday morning peak hours indicates that the metrics which do not consider TR overestimate a URTN’s accessibility. The evaluation results can effectively guide decisions on improvements to a URTN’s accessibility. The advantage of the measures of accessibility incorporating TR for a URTN is that they not only improve the reasonableness of evaluation but also reflect an aspect of great concern to passengers.

Traffic related activity pattern of Chinese adults: a nation-wide population based survey.

Traffic-related air pollutants lead to increased risks of many diseases. Understanding travel patterns and influencing factors are important for mitigating traffic exposures. However, there is a lack of national large-scale research. This study aimed to evaluate the daily travel patterns of Chinese adults and provide basic data for traffic exposure and health risk research. We conducted the first nation-wide survey of travel patterns of adults (aged 18 and above) in China during 2011-2012. We conducted a cross-sectional study based on a nationally representative sample of 91, 121 adults from 31 provinces in China. We characterized typical travel patterns by cluster analysis and identified the associated factors of each pattern using multiple logistic regression and generalized linear regression models. We found 115 typical daily travel patterns of Chinese adults and the top 11 accounted for 94% of the population. The interaction of age, urban and rural areas, income levels, gender, educational levels, city population and temperature affect people's choice of travel patterns. The average travel time of Chinese adults is 45 ± 40 min/day, with the longest travel time by the combination of walking and car (70 min/day). Gender has the largest effect on travel time (B = -8.94, 95% CI: -8.95, -8.93), followed by city GDP (B = -4.23, 95% CI: -4.23, -4.22), urban and rural areas (B = -3.62, 95% CI: -3.63, -3.61), age (B = -2.21, 95% CI: -2.21, -2.2), educational levels (B = -1.53, 95% CI: -1.53, -1.52), city area (B = -1.4, 95% CI: -1.4, -1.39) and temperature (B = 1.21, 95% CI: 1.2, 1.21). This study was the first nation-wide study on traffic activity patterns in China, which provides basic data for traffic exposure and health risk research and provides the basis for the state to formulate transportation-related policies.

Analysing hospital travel times in central Athens using Google Maps services

Abstract Introduction The importance of timely care is well documented for numerous emergency conditions, including STEMI and ischemic stroke, where low symptom-to-balloon/symptom-to-needle times are crucial for mortality and disability. The study of all potential delays helps us understand the constraints we have to work under. Here, we use Google Maps services to map the travel times from central Athens areas to on-duty hospitals Methods We built our code in the Python programming language, using the Google Maps Distance Matrix API to perform real-time trip duration calculations based on real-life data. As reference points, we used a set of Athens neighbourhoods provided by the Municipality as open data; we considered only public secondary and tertiary health facilities as valid destinations, and based our calculations based on the available daily duty schedules. Results Our algorithm collected 43,200 data points in total over two weeks, using 144 starting points. The average trip durations to reach an on-duty department formed a right-skewed distribution (-0.424), with a mean of 19.55 minutes and a median of 19.95 minutes. The maximum average time was 26.78 minutes, and the overall maximum was 44 minutes. Average travel times to cardiology, general surgery, neurology and internal medicine ERs, which experience a heavy patient load, were higher than the total mean (20.60/22.06/21.31/20.51 mins respectively). We found no correlation between the average travel time and average distance from a hospital or the geographical location, but we were able to create a map with hotspots of high/low travel times. Conclusions Our approach to collecting accurate trip data has shown the impact of time-of-day and location on trips to hospitals, even for patients within the same larger area. As acute care can be time-sensitive, similar wide-scale modelling could be used to create systemic solutions, e.g. data-guided spatial distribution of facilities or transportation. Key messages

High-Speed Railway Network Development, Inter-County Accessibility Improvements, and Regional Poverty Alleviation: Evidence from China

The rapid expansion of the high-speed railway (HSR) network in China has significantly shortened the space–time distance between cities. China is striving to enter an anti-poverty era, which is increasing the importance of research on the poverty reduction effect created by upgrading transportation infrastructure, in particular, HSR development. Describing the characteristics of accessibility and the mechanisms by which that accessibility reduces poverty could provide the insights needed for determining suitable anti-poverty paths. By using data for 2341 counties and equivalents in China during 2007–2018, this study analyses the railway accessibility improvements and the poverty reduction effect created by HSR development. On average, HSR in China contributed to a significant increase in potential economic accessibility (317.8%) and a decrease in weighted average travel time (39.9%) for counties. Based on accessibility calculations, the Theil index was used to measure the disparity level of regional accessibility and regional poverty measured based on the income of rural residents. The results indicate that HSR leads to an increase in inequality in terms of travel time and potential economic accessibility at a national level. Pearson coefficients reveal a strong correlation between disparities in accessibility and in rural income among provinces. Furthermore, using the full sample, and sub-samples of poor and non-poor counties in China, the association between regional accessibility and poverty was examined by using two-way fixed effect models and spatial econometric models. The estimated results show that a 1% improvement in potential economic accessibility leads to an aggregate rural income improvement of 0.03–0.17%; the ratio of rural income to urban income increases by 0.04–0.12% and a larger effect is observed in poor counties. The weighted average travel time reduction also leads to improvement in rural income and reduction in the urban–rural income gap. The empirical results obtained by different robust test methods, including different sample groups, different estimated methods and accessibility indicators, are shown to be robust. These findings can help transportation departments formulate poverty-alleviation-oriented transportation planning and investment policies and inform future policies for countries planning to construct HSRs.

Potential clinical and economic benefits of remote deep brain stimulation programming

Deep brain stimulation (DBS) teleprogramming may help reducing travel-related and other financial burdens for patients and maintaining DBS care in special situations. To determine travel-related burdens of DBS patients and explore effects of COVID-19 on DBS care. Travel- and visit-related data of 319 patients were retrospectively analyzed for the first year, five years, and ten years after initiating DBS. Frequencies of in-person and telemedicine visits over the 18-month periods just before and after the outbreak of COVID-19 in Hungary were also compared. Average travel distance during an in-person visit was 415.2 ± 261.5 km, while average travel time was 342.1 ± 199.4 min. Travel costs for the first year, five years, and ten years were 151.8 ± 108.7, 461.4 ± 374.6, and 922.7 ± 749.1 Euros, respectively. Travel distance, age, and type and severity of disease could help identify patients who would particularly benefit from teleprogramming. We detected a significant decrease in the number of visits during COVID-19 pandemic (from 3.7 ± 2.1 to 2.4 ± 2.7; p < 0.001) which mainly resulted from the decreased frequency of in-person visits (3.6 ± 2.0 vs. 1.7 ± 1.8; p < 0.001). Our results support the introduction of DBS teleprogramming in Hungary which could save money and time for patients while maintaining a secure delivery of DBS.

Exploration and Prediction of the Elderly Travel Behavior Based on a Novel GR-GA-BP Hybrid Model

With the aging trend in megacities, the travel behaviors of the elderly have attracted much attention. Accurate prediction of the travel behaviors of the elderly is a key link to meet the traffic demand and public facilities’ optimization. The aim of this paper was to explore the link between the travel characteristics and variables of the daily activities of the elderly. Based on a stratified sampling survey, the internal relationship between the characteristics of the elderly and their travel behavior was studied and discussed in this work. A novel grey correlation degree–genetic algorithm–back propagation (GR-GA-BP) hybrid model was proposed to predict the travel behavior of the elderly. Then, a grey correlation degree module was established and used to analyze the correlation between the individual elderly characteristics and their travel behavior. The results showed the following: (1) Both the times of weekly trips (y1) and average round-trip travel time (y2) were highly sensitive to the external environment, especially buses, subway stations, and recreational facilities. The size of the family was less sensitive to the travel behavior. (2) Referring to prediction of the times of weekly trips, the MRE of the proposed model was 23.12%, which was 15.22% less than the baseline models. (3) In terms of the prediction of round-trip travel time, the MRE of the proposed model was 7.13%, which was 14.00–69.41% lower than the baseline models. (4) The times of trips per week were 3.5. In summary, this paper provides technical support for formulating traffic demand policies and facilitates the configuration of cities for an aging society.

City-Level Travel Time and Individual Dietary Consumption in Latin American Cities: Results from the SALURBAL Study.

There is limited empirical evidence on how travel time affects dietary patterns, and even less in Latin American cities (LACs). Using data from 181 LACs, we investigated whether longer travel times at the city level are associated with lower consumption of vegetables and higher consumption of sugar-sweetened beverages and if this association differs by city size. Travel time was measured as the average city-level travel time during peak hours and city-level travel delay time was measured as the average increase in travel time due to congestion on the street network during peak hours. Vegetables and sugar-sweetened beverages consumption were classified according to the frequency of consumption in days/week (5–7: “frequent”, 2–4: “medium”, and ≤1: “rare”). We estimate multilevel ordinal logistic regression modeling for pooled samples and stratified by city size. Higher travel time (Odds Ratio (OR) = 0.65; 95% Confidence Interval (CI) 0.49–0.87) and delay time (OR = 0.57; CI 0.34–0.97) were associated with lower odds of frequent vegetable consumption. For a rare SSB consumption, we observed an inverse association with the delay time (OR = 0.65; CI 0.44–0.97). Analysis stratified by city size show that these associations were significant only in larger cities. Our results suggest that travel time and travel delay can be potential urban determinants of food consumption.

Access distance to free-floating services considering uncertain availability and smartphone activeness

ABSTRACT The rapid growth of free-floating sharing services is seen as a key solution to urban mobility problems; however, the wider acceptance and adaptation is critically depending upon the ease of access. The aim of this research is to quantify the access distance to free-floating services considering the density and distribution of travellers and bicycles. Our main focus the effect of different information-seeking and reservation strategies on the travellers. We distinguish those who use smartphone actively during travelling from those who only check the availability before the journey. An agent-based discrete-event simulation (DES) is developed, from which we find that 1. All travellers being active in seeking feasible bicycles do not necessarily lead to better system performance. 2. Enabling reservations can lead to longer average travel times, especially longer walking time. 3. When increasing the bicycle supply or reservation rate, the reliability of accessing desired bicycles can first increase then drop.

Telehealth for Parkinson disease patients during the COVID-19 pandemic: the TeleParkinson study.

Telemedicine allows Parkinson disease (PD) patients to overcome physical barriers to access health care services and increases accessibility for people with mobility impairments. To investigate the feasibility indicators of a telehealth intervention for PD patients, including patient recruitment, attendance, technical issues, satisfaction, and benefits on levels of physical activity and sleep. We conducted a single-center, single-arm study of telehealth video consultations using WhatsApp (Meta Platforms, Inc., Menlo Park, CA, USA). Also, we collected the feasibility indicators as the primary endpoints. All the patients in the study were previously evaluated in person by the same team. Patient recruitment, attendance, and technical issues rates were 61.3%, 90.5%, and 13.3%, respectively, with good scores of patient acceptance and satisfaction with the study intervention. The telehealth intervention improved physical activity, including the number of walks for at least 10 continuous minutes (p = 0.009) and the number of moderate-intensity activities lasting at least 10 continuous minutes (p = 0.001). The Pittsburgh sleep quality index (PSQI) scores also improved for one of its components: perceived sleep duration (p < 0.001) and for total Pittsburgh score (p < 0,001). The average travel time saving was 289.6 minutes, and money-saving was R$106.67 (around USD 18; almost 10% of the current minimum wage in Brazil). Direct-to-patient telehealth video consultations proved to be feasible and effective and had a positive impact on physical activity levels and sleep in PD patients.

Impacts of Different Types of Automated Vehicles on Traffic Flow Characteristics and Emissions: A Microscopic Traffic Simulation of Different Freeway Segments

Different types of automated vehicles (AVs) have emerged promptly in recent years, each of which might have different potential impacts on traffic flow and emissions. In this paper, the impacts of autonomous automated vehicles (AAVs) and cooperative automated vehicles (CAVs) on capacity, average traffic speed, average travel time per vehicle, and average delay per vehicle, as well as traffic emissions such as carbon dioxide (CO2), nitrogen oxides (NOx), and particulate matter (PM10) have been investigated through a microsimulation study in VISSIM. Moreover, the moderating effects of different AV market penetration, and different freeway segments on AV’s impacts have been studied. The simulation results show that CAVs have a higher impact on capacity improvement regardless of the type of freeway segment. Compared to other scenarios, CAVs at 100% market penetration in basic freeway segments have a greater capacity improvement than AAVs. Furthermore, merging, diverging, and weaving segments showed a moderating effect on capacity improvements, particularly on CAVs’ impact, with merging and weaving having the highest moderating effect on CAVs’ capacity improvement potential. Taking average delay per vehicle, average traffic speed, and average travel time per vehicle into account, simulation results were diverse across the investigated scenarios. The emission estimation results show that 100% AAV scenarios had the best performance in emission reductions in basic freeway and merging sections, while other scenarios increased emissions in diverging and weaving sections.

A Heuristic Algorithm Based on Travel Demand for Transit Network Design

This study proposes a simultaneous optimization model that considers flow assignment and vehicle capacity for the problem of transit network design to determine the route structure and frequencies simultaneously. The problem is focused on reducing the total travel time and the number of transfers. A heuristic algorithm is developed to solve this problem. In the proposed algorithm, the initial routes are generated according to a changing demand matrix, which can reflect the real-time demand with transfers and ensure that the direction of route generation maximizes the percentage of direct service. A regulating method for a sequence of stops is used during route generation to guarantee the shortest trip time for a formed route. Vehicles are allocated to each route according to the flow share. The concept of vehicle difference is introduced to evaluate the distinction between actual allocated vehicles and required vehicles for each route. The optimization process of frequencies based on vehicle difference can ensure that the solution meets the constraints. Two scale networks are used to illustrate the performances of the proposed method. Results show that route structure and frequencies can be optimized simultaneously through the proposed method. Different scenarios are created to test the algorithm properties via various parameter values. The test result indicates that the upper bound is a key parameter to balance the proportion of direct service and average in-vehicle travel time (AIVTT), and the increased number of planning routes can improve the proportion of direct service.

Passenger car equivalent travel time of a truck

• Differences in the average travel time of trucks compared to passenger cars by area type. • Average travel times differ by day-of-the-week and time-of-the-day. • Difference in the average travel time tends to decrease with an increase in the reference speed. • Average travel time of trucks could be up to 1.18 times that of passenger cars. The Highway Capacity Manual (HCM) recommends the use of passenger car equivalent (PCE) to account for the influence of trucks on the operational performance of roads. Researchers have derived PCE based on capacity, headway, queue discharge, and delay in the past. However, it is not clear if the influence of trucks on the operational performance of roads would be the same in terms of travel time. The focus of this research is to assess the influence of trucks on the transportation system performance from a travel time perspective. The travel time data for Mecklenburg County (urban area) and Iredell County (rural area) were gathered for the year 2017 and processed to generate sixty-nine datasets accounting for the area type, temporal variation, reference speed, and traffic condition. Ordinary Least Square (OLS) regression models were then developed to examine the relationship between the travel time of trucks (dependent variable) and the travel time of passenger cars (explanatory variable). The coefficients indicate that the average travel time (ATT) of trucks is greater than the ATT of passenger cars irrespective of the dataset used for analysis, except in two cases of Iredell County. The ATT of trucks could be up to 1.18 times the ATT of passenger cars in some cases. The area type, day-of-the-week (DOW), time-of-the-day (TOD), reference speed of the link, and traffic condition at the time of data collection all seem to influence the ATT of trucks at different scales compared to the ATT of passenger cars.

Signal timing and geometric design at contraflow left-turn lane intersections

As a type of innovative intersection, Contraflow left-turn lane (CLL) intersection, has been increasingly implemented at the signalized intersections for increasing the leftturn capacity. This study developed a systematic method for determining the length of CLL and the signal timing plan for implementing CLL at signalized intersections. At first, the signal timing and geometric design requirements in the implementation of CLL were analyzed. Then, these requirements were thoroughly considered in the development of the proposed method. A case study was conducted for evaluating the operational benefits of redesigning a real-world CLL intersection using the recommended signal timing plan and CLL lengths. The results of the case study show that the redesigned CLL intersection outperforms the existing CLL intersection in terms of the average traffic delay, average vehicle travel time, and average queue length, and the CLL intersection can achieve its best performance at the recommended CLL lengths. These results indicate that the proposed method can provide useful guidelines to traffic engineers in the implementation of this innovative intersection design.