Motorcycle Safety Research Articles

Influence of Road Safety Barriers on the Severity of Motorcyclist Injuries in Horizontal Curves

Motorcyclist safety remains a significant problem, and the overall safety of motorcyclists has been improved at a much slower rate in the last decade compared to passenger and commercial vehicles. Because motorcyclists are not protected by the vehicle frame, fatalities or severe injuries are often related to hitting a roadside object or safety barrier. The main objective of this study is to investigate relations between the presence and type of road safety barriers and the consequences of motorcycle crashes on rural roads. For this purpose, we analysed Croatian rural road-crash data from 2015–2019, tested several factors as single predictors, and combined them using binary logistic regression. The results show that run-off-road crashes and nighttime driving are significant risk factors. There was no significant positive impact of the presence of safety barriers on the crash consequences due to the unsuitability of the barriers for motorcyclists, which proves the fact that the functionality of existing safety barriers should be upgraded. The results of this study could be further used by researchers, road designers, and experts to improve road infrastructure safety on rural roads.

Profile of low and middle-income countries with increases versus decreases in road crash fatality population rates and necessity of motorcycle safety

Introduction: Road crash fatalities have increased significantly in Low- and Middle- Income Countries (LMICs) between 2006 and 2016. This study presents how road safety characteristics have changed in LMICs by comparing data over time and relationships between the road crash fatality increase and a wide range of data from LMICs. Parametric and nonparametric methods are used to test significance. Method: There were 35 countries in the Latin America and Caribbean region, the Sub-Saharan Africa region, the East Asia and Pacific region, and the South Asia region, where the population rate of road crash fatalities consistently increased as per country reports, World Health Organization and Global Burden of Disease estimates. In these countries, the proportion of fatalities involving motorcycles (including powered two or three-wheelers) substantially increased (44%) over the same time (statistically significant). In these countries, the helmet-wearing rate was only 46% for all passengers. These patterns were not observed in LMICs with decreasing population fatality rates. Results: Motorcycle helmet usage rates strongly correlate with decreasing fatalities per 10,000 motorcycles in Low-Income Countries (LICs) and LMICs. Effective interventions (including increasing helmet usage) are urgently needed for motorcycle crash trauma in LMICs, especially where the economy and motorization rapidly grow. National strategies for motorcycle safety, conforming to the Safe System principles, are recommended. Conclusions: For evidence-based policy formulation, there is a need to continue strengthening data collection, sharing, and use.

Improving the road network of Baghdad City to increase the safety of motorcyclists

The increasing of population in Baghdad city with limited choices of transportation enforces people to choose motorcycle mode. This mode is preferable due to its simplicity and economically comparing with other modes of transportation, especially for low-income societies. The problem of this mode is the high accidents percentages. Accordingly, the city of Baghdad faced a challenge with increasing the motorcyclists in recent years. This problem is magnifying due to users who are not following traffic instructions. Besides that, the current road network did not get any modifications to handle this type of transportation. The absence of data related to the number of users and their characteristics decreases the problem’s solution. This study is a trying to figure out this problem by discovering the motorcyclist characteristics through distributing a questionnaire to about 500 users with different levels of educations and ages. The study revealed that the accidents are relatively high for most motorcyclists regardless their characteristics. The study recommended that the improvement of roads network should be started in the east part of the city where people are concentrated. The assessment of adding a lane for motorcyclists on a multi-lane roadway should be made before improving the whole city network.

Sistem Pengaman Sepeda Motor Dengan RFID Berbasis IoT

Motorcycles are a means of transportation that is widely used by various groups in society as a means of transportation. The number of types, models and brands of motorized vehicles is often the highlight and target of crime by the perpetrators of motorcycle theft. From the many cases of motorcycle theft ranging from the destruction of keyholes with latter T keys to liquids with chemicals, a motorcycle safety system with IoT-based RFID is needed to improve the motorcycle security system. The results showed that in a motorcycle safety system with IoT-based RFID, this test cut off the flow of motorcycle electricity located on the motorcycle coil using a relay controlled via android with the application getting the results as expected, the relay functions to disconnect the electric current properly and displays notifications on the Blynk application found on android. At an effective distance and slope so that the RFID Reader can read the RFID tag card is 0-1.5 cm with a tilt of 0-20°. The results of the IoT test the farthest distance in the wall-sealed scope is 1-26.10 meters, while the distance with the farthest open scope is 1-411.69 meters. This thesis is expected to contribute to the automotive world to improve the safety system on motorcycles when the vehicle is parked.

Temporal Instability of Factors Affecting Injury Severity in Helmet-Wearing and Non-Helmet-Wearing Motorcycle Crashes: A Random Parameter Approach with Heterogeneity in Means and Variances.

Not wearing a helmet, not properly strapping the helmet on, or wearing a substandard helmet increases the risk of fatalities and injuries in motorcycle crashes. This research examines the differences in motorcycle crash injury severity considering crashes involving the compliance with and defiance of helmet use by motorcycle riders and highlights the temporal variation in their impact. Three-year (2017–2019) motorcycle crash data were collected from RESCUE 1122, a provincial emergency response service for Rawalpindi, Pakistan. The available crash data include crash-specific information, vehicle, driver, spatial and temporal characteristics, roadway features, and traffic volume, which influence the motorcyclist’s injury severity. A random parameters logit model with heterogeneity in means and variances was evaluated to predict critical contributory factors in helmet-wearing and non-helmet-wearing motorcyclist crashes. Model estimates suggest significant variations in the impact of explanatory variables on motorcyclists’ injury severity in the case of compliance with and defiance of helmet use. For helmet-wearing motorcyclists, key factors significantly associated with increasingly severe injury and fatal injuries include young riders (below 20 years of age), female pillion riders, collisions with another motorcycle, large trucks, passenger car, drivers aged 50 years and above, and drivers being distracted while driving. In contrast, for non-helmet-wearing motorcyclists, the significant factors responsible for severe injuries and fatalities were distracted driving, the collision of two motorcycles, crashes at U-turns, weekday crashes, and drivers above 50 years of age. The impact of parameters that predict motorcyclist injury severity was found to vary dramatically over time, exhibiting statistically significant temporal instability. The results of this study can serve as potential motorcycle safety guidelines for all relevant stakeholders to improve the state of motorcycle safety in the country.

The impact of weekday, weekend, and holiday crashes on motorcyclist injury severities: Accounting for temporal influence with unobserved effect and insights from out-of-sample prediction

This paper examines the differences between weekday, weekend, and holiday crashes on the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from 2016 to 2019. While also considering the temporal stability assessment of significant factors, this study adopted a random parameters logit model with possible heterogeneity in means and variances to account for unobserved heterogeneity. Three levels of motorcyclist injury severity were considered including minor injury, severe injury, and fatal injury. Two series of likelihood ratio tests clearly indicated nontransferability between weekday, weekend, and holiday crashes and substantial temporal instability over the four-year study period. Findings also revealed many statistically significant factors that affect motorcyclist injury severity probabilities in various time-of-year and yearly models. In addition, the prediction comparison results (using out-of-sample prediction simulation) clearly illustrated substantial differences between weekday, weekend, and holiday motorcyclist injury severity probabilities, and substantial changes in each injury predicted probabilities over time. This paper highlights the importance of accounting for day-of-week and holiday transferability and temporal instability with unobserved effects in the determinants that affect motorcyclist injury severity. Through the observed nontransferability and temporal instability, the findings provide valuable knowledge for practitioners, researchers, institutions, and decision-makers to enhance highway safety, specifically motorcyclist safety, and facilitate the development of more effective motorcycle crash injury mitigation policies.

SISTEM PENGAMAN SEPEDA MOTOR MENGGUNAKAN E-KTP BERBASIS ARDUINO UNO

In the era of globalization, security system technology is very important. Motorcycles are vulnerable to theft because they still use manual locks. One of them is the safety system on motorcycles that has developed very rapidly. But the security system used on motorcycles today is still not safe enough because it still has weaknesses that can be used by criminals to steal motorcycles. Therefore, a better additional safety system is required on the vehicle itself and is easy to use by the vehicle owner. Therefore, a better additional safety system is required on the vehicle itself as well as easy to use by the vehicle owner. One of the tools that can be used to help meet the security system is to use E-KTP with RFID (Radio Frequency Identification) technology. This research aims to design an additional safety system of Arduino Uno-based motorcycles that can be used to maintain motorcycle safety

FE Analysis of Motorcycle Helmet Performance under Severe Accidents

A helmet is essential protective equipment for the safety of motorcyclists and their passengers. However, motorcycle accidents can cause severe injuries and fatalities, even when wearing helmets, because the strength of motorcycle helmets lacks head protectability in actual impact accidents. Thus, this research investigates the structural performance of commercial motorcycle helmets in Thailand for head injury prevention using finite element analysis via LS-DYNA. The helmet structural model was firstly validated under impact analysis by comparing with the test according to the TIS 369-2557 standard. The finite element results showed that the difference in maximum acceleration was only 4.8%. The protective efficacy of the helmet structure was then studied and analyzed by simulation under various velocities and impact angles according to three cases of accidents. The structural strength was investigated by assessing energy absorption, HIC, and AIS. The worst case was caused when high impact speeds and angles were applied, which showed the highest impact force and HIC. It also enabled a 100% probability of head damage according to AIS 2+, which causes fatality to passengers during impact accidents. The safest conditions in terms of head injury severity occurred when the impact angle was 45 degrees. Finally, at least 75% energy absorption of foam was further recommended for safety design to reduce head injury from motorcycle accidents.

What Factors Would Make Single-Vehicle Motorcycle Crashes Fatal? Empirical Evidence from Pakistan.

The existing research on motorcycle safety has shown that single-vehicle motorcycle crashes (SVMC) account for a higher fatality rate than other types of crashes. Also, motorcycle safety has become one of the critical traffic safety issues in many developing countries, such as Pakistan, due to the growing number of motorcycles and lack of sufficient relevant infrastructure. However, the available literature on SVMC and motorcycle safety in developing countries is limited. Therefore, the present study attempted to investigate the factors that contribute to the injury severity of SVMC in a developing country, Pakistan. For this purpose, a random parameter logit model with heterogeneity in means and variances is developed using two years of data extracted from the road traffic injury research project in Karachi city, Pakistan. The study’s findings show that the presence of pillion passengers and young motorcyclists indicators result in random parameters with heterogeneity in their means and variances. The study’s results also reveal that the summer, morning time, weekends, older motorcyclists, collisions with fixed objects, speeding, and overtaking are positively, while younger motorcyclists and the presence of pillion passengers are negatively associated with fatal crashes. More importantly, in the particular Pakistan’s context, female pillion passenger clothes trapped in the wheel, riding under the influence, intersections, U-turns, and collisions due to loss of control are also found to significantly influence the injury severity of SVMC. Based on these research findings, multiple appropriate countermeasures are recommended to enhance motorcycle safety in Pakistan and other developing countries with similar problems.

Analysis head injuries of Vietnamese motorcyclist without a helmet in car to motorbike frontal impact using a computer model

Nowadays, with the increasing demand for travel, the number of people using motorbikes is increasing, especially in Vietnam. People tend to face more injury risks when they are in traffic, such as vulnerable road users (VRU) – pedestrians, cyclists, and motorcyclists. Therefore, the objective of this study is to assess how car crashes influence Vietnamese motorcyclists' bodies, in particular their heads, because they are the most vulnerable parts of their bodies. The result of this study is to let people know what they’re facing in case they are hit by a car. In addition, this research analyzes the injury to the motorcyclist's head when being hit by different configurations of the car. Due to the lack of facilities, car-to-motorcyclist frontal impact simulation has become the best way to resolve this problem. The impact conditions, which were obtained from real motorcyclist accidents in Vietnam, including the speed of vehicle and motorcycle, and impact angle, were defined as initial loading conditions in a simulation of the head striking the windscreen by using a finite element Vietnamese dummy model. Logistic regression models were developed to study brain injury risk with respect to injury-related variables: the head linear acceleration and head injury criterion (HIC) value. In this paper, the deformation of the motorbike structure model was neglected, so the material has been selected as a rigid form. The knowledge from this research could be a prerequisite for developing guidelines to improve motorcyclist safety in Vietnam.

Evaluation of a road safety educational programme for senior elementary school students in Cambodia: A pilot study

Purpose: Road accidents are the leading cause of non-disease-related deaths among teenagers in Cambodia. However, Cambodian schools continue to lack road safety education programmes and standardised guidelines. This study evaluated the effects of a customised comprehensive road safety educational programme for older elementary school students in Cambodia. Design: We conducted a road safety educational programme at an elementary school in Cambodia. The programme consisted of seven parts and included content related to pedestrian and vehicle (car, motorcycle and bike) safety. Methods: We used a mixed method to evaluate changes in knowledge, attitudes and practices following the programme. For the quantitative evaluation, we conducted a quasi-experimental study using a nonequivalent control group pre-test–post-test design involving 52 students. The experimental group comprised fourth graders (aged 10 years) and the control group consisted of fifth graders (aged 11 years). For the qualitative evaluation, we conducted focus group interviews with six participants from the experimental group. Results: Post-test road safety knowledge ( Z = −2.79; p = .005) and attitudes ( Z = −2.05, p = .041) improved significantly in the experimental group. Qualitatively, three themes were identified: participants acquired new insights into road safety, they adopted more positive attitudes and they made an effort to practise road safety. Conclusion: This pilot study demonstrated a possible positive effect of a road safety educational programme, suggesting that, following additional verification, it could be used to improve road safety for older elementary school students in Cambodia.

A comparative study of factors associated with motorcycle crash severities under different causal scenarios

This study was carried out to examine the factors associated with motorcycle crash severity in Alabama, under different manner of crash and causal scenarios using mixed logit modeling. Three crash mechanisms were considered in this study: single-vehicle motorcycle crash with motorcyclist at fault, multi-vehicle collision between a motorcycle and another vehicle with motorcyclist being at fault, and motorcyclist not at fault in a collision between a motorcycle and another vehicle. The model estimation results showed that crashes that happened in rural areas were more likely to be severe, irrespective of the causal unit or manner of collision. The results also show that fatigue among motorcyclists was associated with severe injury, whereas driver fatigue was linked to no injury outcome. Further, it was found that risky behaviors such as speeding, driving/riding under the influence of alcohol or drugs, driving/riding with invalid license were significantly associated with severe injury outcome. Developing the injury-severity models based on the segmented crash data has helped to reveal some similarities and differences in crash outcomes based on the crash mechanism and the at-fault road user. It is expected that these findings would provide a data-driven evidence to improve motorcycle safety in the state.

Rancang Bangun Sistem Keamanan Dan Pengendali Jarak Jauh Sepeda Motor Menggunakan Android Berbasis Nodemcu ESP32 dan GPS

Technological developments have penetrated various fields, including motor vehicle safety. The manufacturer's standard locking system is deemed insufficient to protect motorized vehicles from theft. A combination of software and hardware is required to create an additional security system. The purpose of this research is to design and build a motorcycle safety device using IoT-based GPS. The system is designed when a forced vibration occurs in the ignition zone, a warning message is sent via the Blynk application and the horn sounds. To turn on the machine, you can via the widget in the Blynk application, the Contacts button is ON, then press the Machine ON to turn off the machine by pressing the Contacts OFF button in the Blynk application. To detect the location of a smartphone-controlled motorcycle with the Blynk application. The design of this tool uses several components, namely the SW-420 vibration sensor as an engine warning indicator sensor, the Neo6mv2 GPS sensor as a coordinate sensor, using the NodeMCU ESP32 microcontroller to process data and communicate with a WiFi modem and use a relay as a control button to turn on and off the engine, turn on horn. All components require a 5V supply voltage from a 12V motor battery, this voltage is reduced to 5V with the LM2596 module.

Sampling bias and weight factors for in-depth motorcycle crash data in Thailand

Motorcycle crashes are documented in Thailand's national records but are underreported and lacking detail. In-depth motorcycle crash data, collected by Thailand Accident Research Center (TARC), contains a smaller number of motorcycle crashes but more detail. However, to draw conclusions at a national level, representativeness of the TARC in-depth data is currently unknown, and the correction of sampling biases may be required. In this study, the Capture-recapture method was used to examine the underreporting in the national crash data (from the government insurance company). It was found that 69% of fatal and 70% of non-fatal injuries were underreported, respectively. The in-depth crash data was found to be biased. The weighting methods post-stratification and iterative proportional fitting were applied to compensate for the bias and are shown to improve the representativeness of the in-depth motorcycle crash data. Weighted in-depth crash data appears to be suitable to draw conclusions on motorcyclist safety in Thailand.

An analysis of motorcyclists' injury severities in work-zone crashes with unobserved heterogeneity

Work-zone related crashes in Florida are increasing steadily in recent years. With such growing concern, work-zone is recognized in Florida Strategic Highway Safety Plan. The severity and complexity of motorcycle crashes in work-zones is critically important and worth investigating. However, the resulting effect of work-zone on motorcyclists' injuries in work-zone crashes is not fully understood. The purpose of study is to identify the contributing factors of motorcyclists' injury severity sustained in the work-zone crashes in Florida. Recognizing the relatively higher risk of motorcyclists in work-zones with respective to non-work-zones, this study further uncovers the contributing factors for single- and multi-vehicle motorcycle crashes in Florida work-zones. This study investigated motorcyclists' injury severity applying random parameter multinomial logit with possible heterogeneity in means and variances of the random parameters for single-motorcycle and multi-vehicle motorcycle crashes. This study utilizes the Crash Analysis Reporting (CAR) system in Florida over a period of five years from 2012 to 2016 (inclusive). The model result indicates a complex relationship between dark condition, old-aged motorcyclist (50–65), requirement and absence of endorsement, partial ejection, straight roadway segment, shoulder width (up to 1.22 m (4 ft), and 2.74–3.66 m (9–12 ft), urban interstate, activity area, and lane closure and work on shoulder-median work-zone types. The effect of work-zone on single-motorcycle crashes tends to have much more in resulting injury severities relative to multi-vehicle motorcycle crashes. It is more important to investigate the injury severity by single- and multi-vehicle crashes involving motorcycles in work-zones. These risk factors identified in the study are expected to provide more insights for the countermeasures specific to engineering (roadway design) and policy (motorcycle training), which can be considered to improve motorcycle safety in Florida.

Analysis of Transport and Vehicular Crash Cases Using the Online National Electronic Injury Surveillance System (ONEISS) from 2010 to 2019

Introduction. Around 1.35 million people die due to road traffic accidents yearly. In the Philippines, there is an increasing trend of mortality and morbidity caused by road crashes.
 Objective. The objective of the study is to show the epidemiology of transport and vehicular crash (TVC) cases in the Philippines using the Department of Health (DOH) Online National Electronic Injury Surveillance System (ONEISS) from 2010 to 2019.
 Methods. We used data from ONEISS, a web-based system to electronically capture injury-related data from health facilities, store data in a centralized and secure location, process and consolidate data, and transform this data into meaningful information. For Transport and Vehicular Crash cases, risk factors such as drug use, alcohol use, mobile phone use, seatbelt, and helmet use are included. There are also data on vehicle type, place of crash, and activity. Descriptive and inferential statistics were computed to explore and analyze the ONEISS dataset, particularly the epidemiology of transport and vehicular crashes (TVC).
 Results. There were a total of 296,760/894,989 (31%) patients admitted due to transport and vehicular crash (TVC) based on the 10-year data from ONEISS (2010–2019). There was an increasing trend in the number of transport/ vehicular crashes (TVC) during this period, with an average increase of 25.58% cases per year. Most victims were drivers (45.6%), males (72.5%), and from the younger age group (0-30 years old). Fatal crashes were observed to occur from 6:00 pm to 5:00 am while most accidents occurred during leisure activities (32.5%). The highest reported contributing factor was drunk driving (n = 25,537). There was observed low compliance on the use of vehicular safety equipment. The most common types of injuries for the TVC victims were abrasions, contusions, burns, and concussions while the vehicle most involved in TVC was the motorcycle. Motorcycle use was found to be associated with worse emergency room (ER) outcomes (p <.0001) and the highest injury types such as multiple injuries, abrasion, avulsion and burn. Alcohol use was also significantly associated with multiple injuries, abrasion, avulsion, burn, open fracture, open wound, and amputation (p < 0.05).
 Conclusion. The trend of road traffic vehicular crashes affecting mainly the younger population has economic repercussions. Motorcycles are also most involved in crashes, hence, the need for motorcycle safety laws in the country. There is also a need to strengthen current laws and legislation governing road safety and to focus on structuring a systematic post-crash response for both the local government and hospitals throughout the Philippines.

Factors associated with head injury among survivors of motorcycle crashes: a case-control study in northern Ghana.

the increasing use of motorcycles in northern Ghana is associated with a high incidence of motorcycle crashes and resultant head injuries. This study sought to determine factors associated with head injuries among survivors of motorcycle crashes in northern Ghana. a prospective unmatched case-control study was conducted at the Tamale Teaching Hospital (TTH). A total of 326 cases (victims who suffered a head injury with or without other injuries) and 294 controls (persons who suffered various injuries except for head injury) from motorcycle crashes were consecutively sampled at TTH from December 15, 2019, to May 15, 2020. A semi-structured questionnaire was used to interview patients in addition to medical records review. Factors associated with head injury were examined using multivariable logistic regression at p<0.05 and a 95% confidence interval. the prevalence of head injury was 53.03% among of 660 survivors of motorcycle crashes. The majority of the patients were young males aged 15-44 years. The rate of helmet use was lower in cases (12.88%) than in controls (57.82%) (p<0.001). Factors associated with head injury were not wearing helmet (AOR= 9.80, 95% CI: 6.22, 15.43), male (AOR=1.75, 95% CI: 1.07, 2.85), student (AOR=0.38, 95% CI: 0.16, 0.91), and alcohol use within 24 hours (AOR=0.17, 95% CI: 0.04, 0.70). non-use of helmet and male gender significantly increased the risk of head injury risk in this study. Alcohol use and being a student were associated with lower odds of head injuries. Motorcycle safety efforts in the study area should emphasize helmet promotion.

Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach

Despite the countless benefits derived from motorcycle usage, it has become a significant public health concern, particularly in developing countries, due to the plateauing number of fatal/serious injuries associated with them. Although it has been well documented that the frequency and fatality rates of intersection-related motorcycle crashes are high, little research efforts have been made to explore the contributory factors influencing motorcycle-involved crashes at these locations. Interestingly, no study has investigated the latent patterns and chains of factors that simultaneously contribute to the injury severity sustained by motorcycle crash casualties at intersections under different traffic control conditions in developing countries. Since motorcycles are mostly used as taxis in developing countries, it is imperative to consider the injury severity sustained by all crash casualties in the motorcycle safety analysis. This study bridges the research gap by employing a plausible data mining tool to explore hidden rules associated with motorcycle crash casualty injury severity outcomes at both signalized and non-signalized intersections in Ghana's most densely populated region, Accra, using three-year crash data spanning 2016–2018. Besides, a binary logit regression model was also employed to explore the impact of crash factors on casualty severity outcomes using the same dataset. The results from both analysis techniques were consistent; however, the data mining technique provided chains of factors which provided additional insights into the groups of factors that collectively influence the casualty injury severity outcomes. From the rule discovery results, while full license status, daytime/daylight, and shoulder presence increased the risk of fatal injuries at signalized intersections, factors such as inattentiveness, good road surface, nighttime, shoulder absence, and young rider were highly likely to increase casualty fatalities at non-signalized intersections. By controlling all or some of these risk factors, the level of injury severity on the roadways could be reduced. Based on the findings, we provide enforcement, education, and engineering-based recommendations to help improve motorcycle safety.

Safeguarding motorcyclists: Trialing new PRIME road markings for casualty reduction

Dedicated road markings for motorcyclists were installed on the approach to demanding bends at 10 sites across the West Highlands of Scotland. These road markings were designed as Perceptual Rider Information for Maximising Expertise and Enjoyment (PRIMEs) which presented a series of ‘gateway’ markings to encourage safer riding. Video data were collected to measure motorcycle speed, position, braking and use of the road markings, before and after the PRIMEs were installed. A total of 12,949 motorcyclists were observed. Speed reductions were observed across four of the 10 sites, changes in lateral position at the final PRIME gateway marking and apex of the bend were observed across all 10 sites and seven sites respectively; reduced braking was observed at two sites and there was an increase in the use of PRIME road markings across eight of the 10 sites. These findings are discussed in relation to the ‘Safe System’ approach to improving motorcycle safety.

The Demand Model of App-Based Transportation Household Scale in Semarang, Indonesia

In the development of transportation systems, Application-Based Transportation is an innovation to adapt to technological advances. It offers users an alternative mode that is cheap, easy, and flexible according to their needs. The Application-based travel demands can be seen from its socio-economic and travel characteristics. In Indonesia, previous studies have concentrated on study areas on a city scale, with diverse land use classifications not only on the residential area which is the most users of app-based transportation. The modelling results in this study were obtained from spatial simulation and partial linear regression analysis with the T-test as the final stage of analysis. As a result, demand for App-Based Transportation is affected by two factors which include age and travel costs. They are inversely proportional to the frequency of travel. In this case, this mode is mostly used by the population with young age and low cost of travel. Also, this mode is only used on short-distance trips and trips during rush hour in the morning. During the afternoon rush hour, the trip is transferred to public transportation, which has a lower cost. Therefore, this study aims to determine the application-based transportation demand model for household units in Tlogosari, Semarang, Indonesia. An additional in-depth study is needed to be carried out on the degree of motorcycle safety to improve services.