Makoto Chikaraishi
Biographic Data
| ID | 6303395 |
|---|---|
| NAME | Makoto Chikaraishi |
| GIVEN NAMES | Makoto |
| FAMILY NAME | Chikaraishi |
| SIGNATURE | CHIKARAISHI M |
| AFFILIATIONS | Hiroshima University |
| ORCID | 0000-0002-8053-9473 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Does response lag affect travelers’ stated preference? Evidence from a real-time stated adaptation survey
Stated preference (SP) surveys typically ask respondents to make a choice under a hypothetical situation. However, the choice context is often unrealistic, leading to errors and biases in the response. To overcome this, revealed preference (RP) data has been used to create a more realistic choice context for generating SP questions. For instance, in stated adaptation (SA) surveys, users are asked to answer SP questions based on a specific RP cont…
A co-evolutionary simulation of social network and activity engagement
This study proposes a simulation framework for the co-evolution process between social networks and activity engagement. The framework features a clear model specification strategy and an algorithm enabling population-wide network inference. Data collection combines social network surveys and activity diaries, allowing for the use of standard statistical modeling methods. The performance of the proposed framework was tested by focusing on how int…
Text-aided Group Decision-making Process Observation Method (x-GDP)
Joint travel decisions, particularly related to social activities remain poorly explained in traditional behavioral models. A key reason for this is the lack of empirical data, and the difficulties associated with collecting such data in the first place. To address this problem, we propose Text-aided Group Decision-making Process Observation Method (x-GDP), a novel survey methodology to collect data on joint activities from all members of a given…
Going the extra mile
Most leisure activities are carried out jointly with friends or family; therefore, the decision on where to travel is highly dependent on the spatio-temporal constraints of all members of the group. Using data from Tokyo, Japan, this study is the first to develop a joint destination choice model that explicitly integrates such constraints based on revealed preferences of all members. Such a model allows for the derivation of a new measure to quan…
A walker's paradise ain't a driver's hell
This study uses a natural experiment approach to evaluate the causal effect of three regular road pedestrianization schemes in Central Tokyo on traffic conditions in surrounding areas. Cross-sectional traffic volume data collected by the Metropolitan Police Department via traffic counters was used as the dependent variable and causal effect evaluation was done via a difference-in-differences (DID) approach, where the temporal pedestrianization of…
The impact of online food delivery service on eating-out behavior
Online food delivery services, provided under the multi-service transport platforms such as Grab and Gojek, could significantly change people’s eating-out behavior, which could also change the spatial distribution of restaurants in the long run. This study attempts to empirically identify factors affecting people’s preference on the use of online food delivery services using stated preference (SP) survey data collected with a multi-day smartphone…
Modeling joint eating-out destination choices incorporating group-level impedance
Analysis of post-disaster population movement by using mobile spatial statistics
Road network vulnerability and city-level characteristics
Climate change is making our cities more vulnerable, increasing the needs for further policy actions to make them more resilient. In particular, the transport network is critical in the first phase of disaster response. This study presents the epirical findings of a large scale, nationwide analysis of the road network vulnerability in 69 Japanese cities. We (1) identify the level of network efficiency using topological elements in its undisturbed…
A framework to analyze capability and travel in formal and informal urban settings
A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam
Interdependences between household residential and car ownership behavior
Representing the influence of multiple social interactions on monthly tourism participation behavior
Identifying variations and co-variations in discrete choice models
Interdependences between household residential and car ownership behavior
A framework to analyze capability and travel in formal and informal urban settings
Representing the influence of multiple social interactions on monthly tourism participation behavior
Modeling joint eating-out destination choices incorporating group-level impedance
A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam
Identifying variations and co-variations in discrete choice models
Representing the influence of multiple social interactions on monthly tourism participation behavior
Interdependences between household residential and car ownership behavior
A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam
A framework to analyze capability and travel in formal and informal urban settings
Analysis of post-disaster population movement by using mobile spatial statistics
Road network vulnerability and city-level characteristics
Climate change is making our cities more vulnerable, increasing the needs for further policy actions to make them more resilient. In particular, the transport network is critical in the first phase of disaster response. This study presents the epirical findings of a large scale, nationwide analysis of the road network vulnerability in 69 Japanese cities. We (1) identify the level of network efficiency using topological elements in its undisturbed…
The impact of online food delivery service on eating-out behavior
Online food delivery services, provided under the multi-service transport platforms such as Grab and Gojek, could significantly change people’s eating-out behavior, which could also change the spatial distribution of restaurants in the long run. This study attempts to empirically identify factors affecting people’s preference on the use of online food delivery services using stated preference (SP) survey data collected with a multi-day smartphone…
Modeling joint eating-out destination choices incorporating group-level impedance
Does response lag affect travelers’ stated preference? Evidence from a real-time stated adaptation survey
Stated preference (SP) surveys typically ask respondents to make a choice under a hypothetical situation. However, the choice context is often unrealistic, leading to errors and biases in the response. To overcome this, revealed preference (RP) data has been used to create a more realistic choice context for generating SP questions. For instance, in stated adaptation (SA) surveys, users are asked to answer SP questions based on a specific RP cont…
A co-evolutionary simulation of social network and activity engagement
This study proposes a simulation framework for the co-evolution process between social networks and activity engagement. The framework features a clear model specification strategy and an algorithm enabling population-wide network inference. Data collection combines social network surveys and activity diaries, allowing for the use of standard statistical modeling methods. The performance of the proposed framework was tested by focusing on how int…
Text-aided Group Decision-making Process Observation Method (x-GDP)
Joint travel decisions, particularly related to social activities remain poorly explained in traditional behavioral models. A key reason for this is the lack of empirical data, and the difficulties associated with collecting such data in the first place. To address this problem, we propose Text-aided Group Decision-making Process Observation Method (x-GDP), a novel survey methodology to collect data on joint activities from all members of a given…
Going the extra mile
Most leisure activities are carried out jointly with friends or family; therefore, the decision on where to travel is highly dependent on the spatio-temporal constraints of all members of the group. Using data from Tokyo, Japan, this study is the first to develop a joint destination choice model that explicitly integrates such constraints based on revealed preferences of all members. Such a model allows for the derivation of a new measure to quan…
A walker's paradise ain't a driver's hell
This study uses a natural experiment approach to evaluate the causal effect of three regular road pedestrianization schemes in Central Tokyo on traffic conditions in surrounding areas. Cross-sectional traffic volume data collected by the Metropolitan Police Department via traffic counters was used as the dependent variable and causal effect evaluation was done via a difference-in-differences (DID) approach, where the temporal pedestrianization of…
Urban Transport and Accessibility (11 works) · Geography (10 works) · Computer Science (8 works) · Engineering (7 works) · Transport engineering (6 works) · Economics (5 works) · Mathematics (5 works) · Statistics (5 works) · Transportation Planning and Optimization (5 works) · Travel behavior (5 works)